DEPARTMENT OF VOCATIONAL TEACHER …...Isuwa Yakubu Kpanja a postgraduate student in the Department...
Transcript of DEPARTMENT OF VOCATIONAL TEACHER …...Isuwa Yakubu Kpanja a postgraduate student in the Department...
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ISUWA YAKUBU KPANJA PG/MED/12/61485
PG/M.ED/11/58795
ENTREPRENEURIAL SKILLS POSSESSED BY AUTO TECHNOLOGY SELF EMPLOYED GRADUATES IN
NASARAWA STATE
DEPARTMENT OF VOCATIONAL TEACHER EDUCATION
FACULTY OF EDUCATION
Fred Attah
Digitally signed by: Content manager’s Name DN : CN = Webmaster’s name O= University of Nigeria, Nsukka OU = Innovation Centre
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ENTREPRENEURIAL SKILLS POSSESSED BY AUTO TECHNOLOGY
SELF EMPLOYED GRADUATES IN NASARAWA STATE
BY
ISUWA YAKUBU KPANJA
PG/MED/12/61485
DEPARTMENT OF VOCATIONAL TEACHER EDUCATION
(INDUSTRIAL TECHNICAL EDUCATION)
UNIVERSITY OF NIGERIA, NSUKKA
OCTOBER, 2015
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TITLE PAGE
ENTREPRENEURIAL SKILLS POSSESSED BY AUTO TECHNOLOGY SELF
EMPLOYED GRADUATES IN NASARAWA STATE
BY
ISUWA YAKUBU KPANJA
PG/MED/12/61485
A PROJECT REPORT PRESENTED TO THE DEPARTMENT OF VOCATIONAL TEACHER EDUCATION, UNIVERSITY OF
NIGERIA, NSUKKA IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE AWARD OF
DEGREE OF MASTERS IN INDUSTRIAL TECHNICAL EDUCATION
SUPERVISOR: PROF. E.O. EDE
OCTOBER, 2015
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APPROVAL PAGE
This thesis has been approved for the Department of Vocational Teacher Education
(Industrial Technical Education), University of Nigeria, Nsukka.
By
………………………. ……………………………
Prof. E.O. Ede Internal Examination
Supervisor
……………………….. …………………………….
External Examiner Prof. C.A. Igbo
Head of Department
…………………………
Prof. Uju Umo
Dean, Faculty of Education
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CERTIFICATION
Isuwa Yakubu Kpanja a postgraduate student in the Department of Vocational Teacher
Education, with registration number PG/Med/12/61485 has satisfactorily completed the
requirements for the Degree of Masters in Industrial Technical Education. The work
embodied in this thesis is original and has not been submitted in part or full for any other
diploma or degree of this or any other University.
_______________________ ____________________
Prof. E.O. Ede Isuwa Yakubu Kpanja
Supervisor Student
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DEDICATION
This work is dedicated to Almighty God our Lord Jesus Christ.
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ACKNOWLEDGEMENTS
The researcher would like to thank his supervisor, Prof. E. O. Ede, for the support and
benefit of the vast knowledge and experience through his style of supervision.
The researcher also wishes to extend his gratitude’s to Professors S.C.O.A. Ezeji, E.E.
Agomuo, E.U. Anyakoha, E.C. Osinem and C.A. Obi and Drs. F.M. Onu, T.C. Ogbuanya,
and J.A. Okonze all in the Department of Vocational Teacher Education, University of
Nigeria, Nsukka for their moral support and constructive criticisms which helped to raise the
standard of this work. Special gratitude also goes to Drs, E.A.O. Anele and M.N. Eze for
their constructive criticism towards the work during proposal. I will not forget my dear sister
Mrs. Serah Ajah and all the members of my family.
Above all, the researcher is grateful to God Almighty for his protection, providence and
especially for sparing his life. Glory is to God for without him this study would not have
been successful.
Isuwa Y.K.
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TABLE OF CONTENTS
TITLE PAGE ------------------------------------------------------------------------------ i
APPROVAL PAGE -------------------------------------------------------------------- ii
CERTIFICATION ---------------------------------------------------------------------- iii
DEDICATION ------------------------------------------------------------------------- iv
ACKNOWLEDGEMENT ------------------------------------------------------------- v
TABLE OF CONTENTS -------------------------------------------------------------- vi
LIST OF TABLES ---------------------------------------------------------------------- ix
LIST OF FIGURES --------------------------------------------------------------------- x
ABSTRACT ---------------------------------------------------------------------------- xi
CHAPTER ONE: INTRODUCTION --------------------------------------------- 1
Background of the Study --------------------------------------------------------------- 1
Statement of the Problem---------------------------------------------- ---------------- 6
Purpose of the Study -------------------------------------------------------------------- 7
Significance of the Study --------------------------------------------------------------- 8
Research Questions --------------------------------------------------------------------- 9
Hypotheses ------------------------------------------------------------------------------ 10
Delimitation of the Study -------------------------------------------------------------- 11
CHAPTER TWO: REVIEW OF RELATED LITERATURE ------------- 12
Conceptual Framework -------------------------------------------------------------- 13
Concept of Entrepreneurship ------------------------------------------------ 13
Concept of Vocational and Technical College ---------------------------- 16
Technical College Education ----------------------------------------------- 17
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Auto Technology in Technical Colleges ----------------------------------- 17
Concept of Skills --------------------------------------------------------------- 25
Entrepreneurial Skills---------------------------------------------------33
Theoretical Framework -------------------------------------------------------------- 63
Leadership Path-Goal Theory ----------------------------------------------- 63
Socio-Cultural Theory -------------------------------------------------------- 65
Model of Economic Development ------------------------------------------ 66
Related Empirical Studies ----------------------------------------------------------- 67
Summary of Review of Related Literature -------------------------------------- 71
CHAPTER THREE: METHODOLOGY ---------------------------------------- 73
Design of the Study --------------------------------------------------------------------- 73
Area of the Study ----------------------------------------------------------------------- 73
Population for the Study --------------------------------------------------------------- 74
Instrument for Data Collection ------------------------------------------------------ 74
Validation of the Instrument ---------------------------------------------------------- 75
Reliability of the Instrument --------------------------------------------------------- 76
Method of Data Collection ----------------------------------------------------------- 76
Method of Data Analysis ------------------------------------------------------------- 76
CHAPTER FOUR: PRESENTATION AND ANALYSIS OF DATA -- --- 77
Research Question 1--- ----------------------------------------------------------------- 77
Research Question 2 -------------------------------------------------------------------- 79
Research Question 3 -------------------------------------------------------------------- 80
Research Question 4 -------------------------------------------------------------------- 81
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Research Question 5 -------------------------------------------------------------------- 82
Hypothesis 1 ----------------------------------------------------------------------------- 83
Hypothesis 2 ----------------------------------------------------------------------------- 85
Hypothesis 3 ----------------------------------------------------------------------------- 86
Hypothesis 4 ----------------------------------------------------------------------------- 87
Hypothesis 5 ----------------------------------------------------------------------------- 88
Findings of the Study ------------------------------------------------------------------- 89
Hypothesis ------------------------------------------------------------------------------- 93
Discussion of the Findings ------------------------------------------------------------ 95
CHAPTER FIVE: SUMMARY, CONCLUSION AND RECOMMENDATIO NS-99
Re-statement of the problem ---------------------------------------------------------- 99
Summary of procedures used ------------------------------------------------------- 100
Major findings ------------------------------------------------------------------------ 101
Implication of the study -------------------------------------------------------------- 102
Conclusion ----------------------------------------------------------------------------- 103
Recommendations -------------------------------------------------------------------- 103
Suggestions for further study-------------------------------------------------------- 104
REFERENCES ---------------------------------------------------------------------- 105
APPENDICES
Appendix A: Request for Validation of Instrument --------------------------- 111
Appendix B: Introduction Letter to the Respondent --------------------------- 112
Appendix C: Questionnaire -------------------------------------------------------- 113
Appendix D: Result of the analysis using SPSS --------------------------------- 120
Appendix E: Population Distribution of Auto Technology Entrepreneurs
And Auto Technology Employees ----------------------------------145
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LIST OF TABLES Table Pages 1: Mean and standard deviation of responses of Auto technology entrepreneurs and
Auto technology employees on the Technical Skills Possessed by Auto
Technology Self Employed Graduates. --------------------------------------------- 77
2: Mean and standard deviation of responses of Auto technology entrepreneurs and
Auto technology employees on the Managerial Skills Possessed by Auto
Technology Self Employed Graduates ------------------------------------------------- 79
3: Mean and standard deviation of responses of Auto technology entrepreneurs and
Auto technology employees on the financial skills Possessed by Auto
Technology Self Employed Graduates ------------------------------------------------ 80
4: Mean and standard deviation of responses of Auto technology entrepreneurs and
Auto technology employees on the marketing skills Possessed by Auto
Technology Self Employed Graduates. ----------------------------------------------- 81
5: Mean and standard deviation of responses of Auto technology entrepreneurs and
Auto technology employees on the Communication skills Possessed by Auto
Technology Self Employed Graduates --------------------------------------------- 82
6: t-test analysis of the mean responses of Auto technology entrepreneurs and
Auto technology employees on the Technical Skills Possessed by Auto
Technology Self Employed Graduates-------------------------------------------- 83
7: t-test analysis of the mean responses of Auto technology entrepreneurs and Auto
technology employees on the Managerial Skills Possessed by Auto Technology
Self Employed Graduates------------------------------------------- 85
8: t-test analysis of the mean responses of Auto technology entrepreneurs and Auto
technology employees on the financial skills Possessed by Auto Technology
Self Employed Graduates ----------------------------------------- 86
9: t-test analysis of the mean responses of Auto technology entrepreneurs and Auto
technology employees on the marketing skills Possessed by Auto Technology
Self Employed Graduates ------------------------------------------- 87
10: t-test analysis of the mean responses of Auto technology entrepreneurs and Auto
technology employees on the Communication skills Possessed by Auto
Technology Self Employed Graduates ------------------------------------- 88
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LIST OF FIGURES
Figure
1 Sample Communication Model----------------------------- 52
2 Communication as a process-------------------------------------------------------- 55
3 Types of Communication-------------------------------------------------------- 56
4 Overview Communications Planning---------------------------------------------- 58
5 Johari Window of Communication Styles---------------------------------------- 60
6 Schema of Entrepreneurial Skills Possessed by Auto Technology
Self Employed Graduates ------------------------------------------------------ 62
7 Leadership Path-Goal Theory------------------------------------------------------- 63
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ABSTRACT
The study was designed to determine the skills possessed by auto technology self employed graduates in Nasarawa state. Survey research design was adopted for the study. The population for the study was 110 respondents comprises of 30 auto technology entrepreneurs and auto technology employees. There was no sampling because of manageable size of the population. A structured questionnaire was used as instrument for data collection. The instrument was trial-tested on 15 respondents who were not part of the population used for the study after being subjected to face validation by three 3 experts from the department of vocational teacher education, university of Nigeria, Nsukka. Cronbach Alpha reliability method was used to determine the internal consistency of the instrument and 0.984 reliability coefficient value was obtained. Five research questions and five null hypotheses were formulated for the study. Mean was used to analyze the data for research questions while t-test was used to test the hypotheses of no significant difference at 0.05 level of significance. The study revealed 36 technical skills, 16 managerial skills, 11 financial management skills, 21 marketing skills and 16 communication skills possessed by graduates of auto technology for self-employment in Nasarawa state. There was no significant difference in the mean responses of auto technology entrepreneurs and auto technology employees on the skills possessed by auto technology self employed graduates for entrepreneurial ventures. The study recommended that all the skills identified in this study should be packaged and uses to retain the graduates of auto technology as prospective entrepreneurs in the country. It was also recommended that the entrepreneurial skills identified should be introduced as one of the compulsory subjects in all secondary schools in the country. Through this methods students who transcend into technical institutions to the university level, would have become conversant with the tenets of entrepreneurial demand.
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CHAPTER ONE
INTRODUCTION
Background of the Study
The importance of entrepreneurial skills in the economy of developed and developing
countries have led and would continue to lead to a reconsideration of their roles in the
economy of nations. However, success for entrepreneurial ventures requires competent skills.
The extent to which graduates of auto technology possess entrepreneurial skills would finally
help them to be successful entrepreneurs.
Entrepreneur plays a dominant role in the development of business opportunities.
According to Ihekwoaba (2007) an entrepreneur is any person who uses skills to discover
hidden business opportunity and exploits it for a profit. Entrepreneur is a change agent, an
innovator and a risk taker, who exploits business opportunities within the environment by
utilizing the resources effectively to develop new technologies, produce new products and
services to maximize profit and contributing significantly to societal development. This
desire of an entrepreneur to maximize profit and contribute to economic and social well
being of the society shows the entrepreneur’s great ability to organize in business
organization. The activity or activities of the entrepreneur is called entrepreneurship.
Entrepreneurship is a process of bringing together creative and innovative ideas,
combining them with management and organization skills in order to combine people, money
and resources to meet an identified need and thereby create wealth (Agomuo, 2002). It is the
willingness and ability of an individual to seek out investment opportunities, establish and
run an enterprise successfully. According to Ademiluyi (2007) entrepreneurship skills are
simply business skills which individuals possess to enable them effectively function in the
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turbulent business environment as an entrepreneur or self-employed. Akinola (2001) pointed
out that it takes special skills to succeed as an entrepreneur. However, Graduates of auto
technology without the relevant entrepreneurial skills will find the labour market most
unrewarding and unfavorable in terms of creating jobs, instead of seeking jobs where none
exists. Jobs could still be created only if the graduates understand the actual goals of which
auto technology is aimed to achieve after graduation from technical colleges.
Technical colleges play significant roles mostly through the training of students in
different trades. Technical colleges, according to Okoro (2006), are the principal vocational
institutions in Nigeria which give full vocational training intended to prepare graduates for
entry into various occupations such as auto mechanics, metal work, electrical and electronics
among others. Trainees that have completed the programmed in a technical college shall have
the opportunity to secure employment in the industries or become self-employed and be able
to employ others (FGN, 2004).
Trainee in auto technology is an individual who is available to learn the skill of
automotive trade from a professionally skilled teacher to withstand challenges required by
the industry. Auto Technology Teacher at the Technical College level is expected to posses
the needed competencies for imparting technical knowledge and skills to students, especially
now that the emphasis is on competency base learning (Davies 2001). Technical teacher who
is seen as curriculum implementer should see the need to improve the teaching of auto
technology and would have to plan lessons based on good instructional objectives of the
program as well as learners’ practical skill acquisition.
Skill can be defined as knowledge demonstrated by actions or the ability to perform in a
certain way. Osinem and Nwoji (2010) explained skill as a manifestation of acquired
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knowledge that is translated into practical activity. Auto technology craftsmen like the other
counterparts in technical trades requires adequate entrepreneurial skills for effective
performance.
Auto technology is aim to produce graduates with competent skills for self-
employment. Uyanya, (1989) stated that the most important thing that ever happened to
Nigeria is the 1981 National Policy on Education which emphasizes the acquisition of
vocational skills for self-reliance. Entrepreneurship in Auto Technology is among the major
ways to enhance socio-economic and industrial development of self-actualization for the
individuals concerned. Thus, the National Institute of Automotive Service Excellence, ASE
(2005) Certifies Automotive Service Technology (AST) in eight areas as; (1) Engine repairs,
(2) Automatic Transmission and Transaxle, (3) Manual drive train and axles, (4) Steering and
suspension, (5) Brakes, (6) Electrical and Electronics, (7) Engine Performance, and (8) Air
Conditioning. Automotive technology is continuously becoming more and more
sophisticated. Nice (2001) remarked that continual evolution in design is intended to achieve
more reliable, streamline, cleaner and safer vehicle. Hence, the rising demands for skilled
automotive technologists as craftsmen who are mostly graduates of technical colleges to
provide maintenance services for automobile users is on the increase.
However, Rea (2010) describes craftsmen as trained or skilled individuals in the
technical details of a particular art or science, especially one skilled at operating, maintaining
or repairing equipment, in contrast to the theory or informational content of a craft. These
craftsmen who are mostly Auto Technology graduates should possess adequate
entrepreneurial skills for successful management of their business after graduation. Such
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entrepreneurial skills should include technical, managerial, financial management, marketing,
and communication skills.
Technical skill is knowledge about and proficiency in a specific type of work or
activity. It includes competencies in a specialized area, analytical ability, and the ability to
use appropriate tools and techniques (Katz, 2000). For example, in a computer software
company, technical skill might include knowing software language and programming, the
company’s software products, and how to make these products function for clients. Similarly,
in an automobile firm, technical skill might include understanding and having the ability to
apply generally accepted maintenance and repair principles to a client’s customer. In both
examples, technical skills involve a professional hands-on activity with a basic product or
process within an organization.
Management is generally viewed as a professional discipline that assembles and uses
resources in terms of human, resources, financial resources, physical resources and time to
accomplished objectives (Olowu, 2000). This implies that management involves the use of
human resources through the process of planning, organizing and controlling of products in
the industries in order to meet the customer requirements. In automobile industries,
management could be viewed as the function of individual workers for the attainment of the
objectives. However, crises occur when the industry is successfully expanding and the
entrepreneur is not capable of running it due to lack of needed knowledge and managerial
skills. Thus, Anyakoha (2009) stated some of the managerial skills to include; ability to
communicate effectively, ability to make long and short term planning, ability to manage
time, finance and meet job schedule.
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However, the financial management skills in every organization play a key role in the
development and growth of the organization. Osuala (2004) noted that adequate supply of fund
makes it possible not only for emergency of new business but also the survival of existing
ones. In addition, Osuala (1995) is of the view that there is a correlation between inadequate
record and the business organizations of which this constitutes a major problem. Financial
management, according to Nzelibe (1996) is one of the most important aspects of
entrepreneurship. Onwachekwa and Olatunji (2004) concluded that auto technology graduates
who may wish to be self-employed are deeply skeptical to establish on their own for lack of
capital or financial resource skills. This situation inhibits the survival of the few existing
enterprise around.
Another skill required by an entrepreneur is the marketing skills. Skill possession in
marketing is an important and essential aspect of entrepreneurship. The sole economic
justification of a firm’s existence, according to Boone and Kurtz (1977), is the production
and marketing of want-satisfying products and services. The small business entrepreneur
often concentrates marketing mix efforts on selected key target market. However, Kotler
(2006), stated that identifying the customer’s needs and sustaining the customer’s satisfaction
is the beginning of every business through communication skills in marketing operation.
Communication is a matter of effectiveness, which is dependent on the sharing on
ideals between two or more persons in an organization using competency in communication.
Master (2008), stated that Communication enables people in the modern world to work
together, exchange products and services, share and achieve goals profitably. In other words
its effectiveness is dependent on one’s competency in communication. Communication
involves intents and efforts from both the sender of the message and the receiver. It is a
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process that can be fraught with error such as with messages muddled that is, mixed up by
the sender, or misinterpreted by the recipient. However, if this is not detected, it can cause
tremendous confusion, waste efforts and misopportunities in most of organization. Success of
communication depends on several factors, transmission of message by the process of
encoding and decoding the message which may result in short-term perception, for the
success of communication.
Another possible constraint to skills acquisition of the technical colleges graduates can
be that, the graduates are not aware of the entrepreneurial skills. Therefore, graduates of auto
technology should possess adequate entrepreneurial skills for gainful employment. Self
employment among these graduates may help the government to reduce societal problems
such as burglaries, armed robbery, aggression, frustration, prostitutions, drug addiction and
insecurity (Oyebode, 2005). Hence, it is important to identify entrepreneurial skills possessed
by auto technology graduates for self employment in Nasarawa State.
Statement of the Problem
Succeeding administrations in Nasarawa State have employed measures in areas like:
fiscal incentives, grants, bilateral and multilateral support to aid educational institutions in
the state specifically in technical and entrepreneurial development. However, auto
technology graduates from technical colleges who are expected to have possessed the
entrepreneurial skills for self-employment and join the team of entrepreneurs in the country
for economic growth and industrial development do not seem to possess the entrepreneurial
skills. The graduates are in most case rejected by employers because they do not possess the
entrepreneurial skills. The customers feel disappointed because of the delay in the repairs of
their vehicles by the auto technology graduates in their existing business. In addition,
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customers have to abandon their vehicles or most times take a painful step to relocate their
vehicles to other shops due to unnecessary reasons always given by these graduates. The
graduates might not have been taught in the schools because they were not aware of the
necessary skills or are not skilled by themselves.
The graduates, who are mostly teenagers, leave to different parts of this country for
menial jobs particularly as bus conductors, commercial motorcyclist and hawkers, farmers
among others. This has further increased the youth negative behavior in the state as most
anti-social acts including thuggery, militancy, restiveness, and ethnic political clashes. The
graduates would have established in entrepreneurial ventures and do better if they had been
taught the entrepreneurial skills in the school. Hence, there is need for auto technology
graduates to possess the entrepreneurial skills for self employment in Nasarawa state.
Purpose of the Study
The general purpose of the study is to determine the entrepreneurial skills possessed by
auto technology self employed graduates in Nasarawa State. Specifically, the study sought to
identify the:
1. Technical skills possessed by auto technology self employed graduates for
entrepreneurial ventures
2. Managerial skills possessed by auto technology self employed graduates for
entrepreneurial ventures
3. Financial management skills possessed by auto technology self employed graduates
for entrepreneurial ventures
4. Marketing skills possessed by auto technology self employed graduates for
entrepreneurial ventures
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5. Communication skills possessed by auto technology self employed graduates for
entrepreneurial ventures
Significance of the Study
The findings of the study would be of benefit to the auto technology students in the
Technical Colleges, Curriculum planners, National Board for Technical Education (NBTE),
Federal and State Ministries of Education, Technical Teachers, parents, society, Technical
Education and Researchers.
The students will benefit from the findings of this study by receiving start up training
on entrepreneurial skills and the use of these skills will in turn improved their performance
effectively in business operation.
The findings from the study will provide information to the curriculum planners. The
curriculum planners are expected to identify, plan and develop the curriculum that will
equipped the technical institution graduates with the entrepreneurial skills needed to work
and become an effective workers in the world of work after graduation.
The National Board for Technical Education (NBTE) as a regulatory body in
curriculum development would use the findings from the study to in-corporate suitable
programmes/modules that can enhance entrepreneurial skills of graduates of auto technology.
The entrepreneurial skills would be of great importance to these graduates in terms of
technical, managerial, financial, marketing and communication respectively.
The findings from the study could readily be used by the federal ministry of Education
and Nasarawa state Ministry of Education in particular, as a guide to policy formulator for
skill acquisition centers administrators for the training of the unemployed youths for jobs in
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auto technology. The findings could be useful to these ministries as a reference material
during refresher courses for teachers of auto technology by officials of the ministries.
The findings from the study will be of importance to technical teachers. It will
enlightened the teachers on the wider range of skills required for teaching the graduates, the
auto technology concept especially for entrepreneurial development.
The findings of the study would be of benefit to the parents and the society at large
because, by the time the auto technology graduates practice enterprises in the maintenance
and repairs of automotive engines both at home and in the entire society.
The findings will benefit technical education by using the information provided to come up
with measures that will ensure effective supply of these materials across the states in Nigeria.
The information provided, would also portrait the image of technical education among other
types or levels of education.
The information that would emanate from this study will stimulate similar research
efforts in other states of the federation on the practice of entrepreneurial skills possessed in
their related colleges. The findings of the study would provide information to researchers that
may wish to carry out similar research in other field in the future.
Research Questions
The following research questions will guide the study:
1. What are the technical skills possessed by auto technology self employed graduates
for entrepreneurial ventures.
2. What are the managerial skills possessed by auto technology self employed graduates
for entrepreneurial ventures.
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3. What are the financial management skills possessed by auto technology self
employed graduates for entrepreneurial ventures.
4. What are the marketing skills possessed by auto technology self employed graduates
for entrepreneurial ventures.
5. What are the communication skills possessed by auto technology self employed
graduates for entrepreneurial ventures.
Hypotheses
The following hypotheses will be tested at 0.05level of significance:
Ho1: There is no significant difference in the mean responses of auto technology
entrepreneurs and auto technology employees on the technical skills possessed by
auto technology self employed graduates for entrepreneurial ventures.
Ho2: There is no significant difference in the mean responses of auto technology
entrepreneurs and auto technology employees on the managerial skills possessed by
auto technology self employed graduates for entrepreneurial ventures.
Ho3: There is no significant difference in the mean responses of auto technology
entrepreneurs and auto technology employees on the financial management skills
possessed by auto technology self employed graduates for entrepreneurial ventures.
Ho4: There is no significant difference in the mean responses of auto technology
entrepreneurs and auto technology employees on the marketing skills possessed by
auto technology self employed graduates for entrepreneurial ventures.
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Ho5: There is no significant difference in the mean responses of auto technology
entrepreneurs and auto technology employees on the communication skills possessed
by auto technology self employed graduates for entrepreneurial ventures.
Delimitation of the Study
The study specifically covered the components of entrepreneurial skills namely:
technical, managerial, financial management, marketing and communication skills possessed
by auto technology self employed graduates for entrepreneurial ventures. The study involves
auto technology entrepreneurs and auto technology employees in three senatorial zones of
Nasarawa State.
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CHAPTER TWO
REVIEW OF RELATED LITERATURE
The literature related to this study is reviewed under the following sub-headings:
Conceptual Framework
• Concept of Entrepreneurship
• Concept of Vocational and Technical College
• Technical College Education
• Auto Technology in Technical Colleges
• Concept of Skills
• Entrepreneurial Skills
Theoretical Framework
• Leadership Path-Goal Theory
• Socio-Cultural Theory
• Model of Economic Development
Related Empirical Studies
Summary of Review of Related Literature
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Conceptual Framework
Conceptual framework is seen as analytical tool with several variation and context.
Huberman (1994) define a conceptual framework as a visual or written product, one that
“explains either graphically or in narrative form, the main things to be studied-the key
factors-concepts or variables-and the presumed relationship among them. Thus, human
capital theory provides a framework for examining the impact of acquired variables such as
education, learning and experience on career outcomes and it was further developed on the
assumption that education can serve as a key determinant of decision choice and providing
benefit to specific ventures (Ojeifo, 2013). In recognition to this fact, Adejimola and
Olufunmilaya (2009) and Ojeifo (2013) opined that education should be designed with a
view to create and enhance the entrepreneurial initiative and activities of the learner. The
bottom line here is to inculcate the spirit of entrepreneurship in the student through
education. A framework is the structure of ideas and how they are arranged to give a
functional meaning to an event. However, conceptual framework, as used in the context of
this study involves the explanation of the major variables that are used for the purpose of a
study. The concepts in this study include: Concept of entrepreneurship, auto technology,
concept of skills, entrepreneurial skills, technical, managerial, financial, among other skills
for self employed graduates in Nasarawa state. These concepts will be explained in order to
substantiate and give meaning to the study as follows:
Concept of Entrepreneurship
Entrepreneurship in the less developed countries is very important in the context of
their growth and development. Entrepreneurship, according to Busenitz and Barney (1997),
is the practice of starting new organizations, particularly new business generally in response
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to identified opportunities. Entrepreneurship in the view of Omolayo (2006); Baba (2013) is
the act of starting a company, arranging business deals and taking risks in order to make
profit through the education skills required. The entrepreneurship spirit is a pre-requisite to
an entrepreneurial society and culture. This spirit is required for the overall economic growth
of a nation especially developing ones like Nigeria. Entrepreneurship education is designed
with emphasis on realization of opportunities. According to Abdulkadir (2011), through
entrepreneurship education, success and innovation habits are imparted to students to develop
entrepreneurial integrity and skills. Hence, entrepreneurship education will enable potential
entrepreneurs to create businesses, manage, market and sustain them into the future.
Entrepreneurship education seeks to provide auto technology students with the knowledge,
skills and motivation to encourage entrepreneurship success in a variety of settings.
Entrepreneurship education particularly in Nigeria, according to Paul (2005), is structured to
achieve the following objectives.
- To offer functional education for the auto technology students so as to enable them to
be self-employed and self-reliant.
- To offer graduates with auto technology training that will enable them to be creative
and innovative in identifying novel business opportunities
- To provide college graduates with adequate training in risk management to make
certain bearing feasible.
- To provide the young graduates of auto technology with enough training and support
that will enable them to establish a career in small and medium size businesses.
- To offer graduates of auto technology adequate training in the acquisition of skills
that will enable them meet the manpower needs of the society.
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- To stimulate both individual and economic growth of rural and less developed areas.
- To provide both small and medium business enterprises with opportunity of recruiting
graduates who are trained and tutored in the skills relevant to the management and
operation of small businesses.
- To inculcate the spirit of perseverance in the students and graduates which will enable
them to persist in any business venture they embark on during their school period and
after graduation.
In order to achieve these plausible objectives and with the current emphasis on self-
reliance, the federal government of Nigeria through its educational regulatory agencies has
made entrepreneurship education a compulsory course in the technical colleges and
secondary institutions irrespective of subject description; this is part of the education reform
agenda in Nigeria and the essence of it is to equip the students on graduation with skills
capable of making them employers of labour in their area of discipline rather than job
seekers. An entrepreneur, according to Bird (1992) is a mercurial person that is prone to
insights, brainstorming, deceptions, ingenuity and resourcefulness, opportunistic, creative,
and unsentimental. Akintola (2001) sees the entrepreneur as a person of very high aptitude
who pioneer change, possessing characteristics found in only a very small fraction of the
population. Entrepreneurs are free thinkers, who combine a larger element of creativity and
experience. They have knowledge of economic, social, psychological and demographic
trends. They have experience and are comfortable with new technology and change. They are
the agents of change who can effectively live with uncertainty to stimulate and implement
lasting changes (Raj, 1998). Entrepreneurs are the leaders of industrial development. An
entrepreneur in the context of this study is someone who takes the initiative to establish own
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business from scratch and nurtures it to growth and profitability, brings new ideas or
innovations into it to make it viable.
However, it is possible to influence the likelihood that somebody will consider
becoming an entrepreneur. Several authors (Kolvereid and Moen, 1997; Noel, 2001; Tkachev
and Kolvereid, 1999; Varela and Jimenez, 2001) have shown that there is a significant
relationship between entrepreneurial training and the propensity of becoming an
entrepreneur. Knowing that Entrepreneurship Training Programs (ETPs) can change
entrepreneurial intention is intriguing if one considers the economic relevance of
entrepreneurial activity mentioned by various authors. The growing importance of ETPs in
research and education shows that this thought is already being taken seriously (Katz, 2003).
Entrepreneurial training, therefore, as used in this study are the skills, novelty, and
experiences combined to yield proficiency in automobile trades.
Concept of Vocational/Technical Colleges
Vocational and technical colleges play vital roles in Nigeria. They train and produce
craftsmen and technicians for industry, they impart vital technical skills in the youths, and
they help towards the goal of self employment. Through the technical colleges, youths
possessed such skills to include: bricklayers, carpenters, painters and auto mechanics;
laboratory and pharmacy technicians, electrical/electronic technicians and skilled vocational
nurses among others.
Technical colleges according to Nwachukwu, Bakers and Jika (2011) are the colleges
which provide graduates through training with the relevant and adequate knowledge, skills
and attitude for employment under the guidelines of a teacher in related occupation. Okorie
(2001) stated that a technical colleges in Nigeria is established to prepared individuals to
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acquire practical skills and basic scientific knowledge. Therefore, auto technology as one of
the related trade among other trades is being practice in the technical colleges in Nigeria.
Technical College Education
Technical education is an aspect of vocational education that can be at the secondary
and post-secondary levels, whose major purpose is to produce craftsmen and technicians.
Federal Government of Nigeria (FNG) (2004) defined Technical Education as that aspect of
education which leads to the acquisition of practical and applied skills as well as basic
scientific knowledge. Technical education provides opportunities for the mastery of skills
and knowledge in selected occupations as well as for development of personality for useful
living. They essentially:
• Provide general education
• Provide training in selected occupations.
• Help trainers to develop the requisite skills and abilities necessary for securing and
retaining a job.
• Help in creating employment and self employment.
However, vocational education can be recognized in terms of recognition of prior
learning and partial academic credit towards tertiary education as credit; thus, it is rarely
considered in its own form to fall under the traditional definition of higher education.
Auto Technology in Technical Colleges
Auto technology is one of the most important products of technology offer as in the
technical colleges in Nigeria. The aim is to produce individual graduates with competent
skills for self-employment. Uyanya, (1989) stated that the most important thing that ever
happened to Nigeria is the 1981 national policy on education which emphasizes the
18
acquisition of vocational skills and self-reliance. Oni (2007) quoted Puding (1994) who
defined vocational-technical education as that type of education, which fits the individual for
gainful employment in recognized occupation as semi-skilled workers or craftsmen. Olaitan,
(2007) defines vocational/technical education as that aspect of education which is a skill
acquisition-oriented. Skill does not depend solely upon a person’s fundamental, innate
capacities but must be developed through training, practice and experience. Skill, according
to Bolt-Lee and Foster (2003), is the art of possessing the ability or power, authority or
competency etc. to do the task required of an individual. Two fundamental issues are used
when a skill is to be acquired. According to Okoro and Osuala (2012), the first is the
condition which promotes acquisition and the second is the change that will occur when the
skill is acquired. However, when an individual set out to learn a new skill, he usually starts
with a communicable programme of instruction. Good learners do not jump into an operation
without first receiving the necessary verbal instruction. Thus, the instruction given in bits,
units, modules, and in stages, perhaps must be fused together to form a skilled performance.
There are many processes of acquisition and development in achieving
entrepreneurial skills. Pleshette (2009) in Okoro and Ursula (2002) outlined the four main
stages of acquiring and developing entrepreneurial skills to include:
- Analyze and identify the current and foreseeable skill needs to business, in terms of
management, administrative and technical skills and relative importance of these.
- Identify the entrepreneur’s own personal goals, objectives and analyze and evaluate
his/her own skills and resources in relation to these.
- Produce a realistic personal development plan for the potential entrepreneur
19
- Monitor on-going performance on follow-up of the entrepreneur once the business
has started and progress made towards developing the new skills that had been
previously identified as necessary for the success of the business.
Training of auto technology craftsmen is carried out in the technical colleges for
example. The quality of academic programmes in technical colleges is assured by the
National Board of Technical Education (NBTE) curriculum and periodic accreditation visits.
The National policy on Education (FGN, 1998) pointed out that vocational education is that
form of education which is obtainable at the technical colleges. This is equivalent to the
senior secondary education but designed to prepare individuals to acquire practical skills,
basic and scientific knowledge and attitude required as craftsmen and technician at sub-
professional level. In line with this policy statement, the Federal Ministry of Education,
FME, (2000), noted that the technical colleges at post –Jss level produce craft men at the
(secondary) level and Master craftsmen at the advance craft (Post-Secondary) level and their
courses lead to the award of National Technical Certificate (NTC)/National Business
Certificate (NBC) and Advanced National Technical Certificate (ANTC)/Advance National
Business Certificate, in technical and business studies respectively.
Vocational and technical colleges stimulate technological and industrial development.
Okoli (1991) identified lack of relevance as one of the factors militating against cooperation
between industry and technical colleges. Okoli explained further that the industries blamed
the colleges for lack of relevance because the products of technical colleges lack the skills
needed to work in the changing world of work. Supporting this view, the attainment of
technological advancement of Nasarawa state depends on technical colleges in that their
establishments are expected to provide the trainees with the required skills to enter into the
20
world of work in all the vocational programmes such as auto mechanics, electrical electronic
and metal work among others. Olaitan (1996) confirmed that in Nigeria many products of
technical colleges and other vocational institutions are found in the street without job because
their training is inadequate and irrelevant to the needs of industries and society.
Unemployment has been identified as one of the core causes of the rising level of
social disorder and insecurity permeating the entire country of Nigeria. Okoro (1999) in his
own point of view; noted that there is high rate of unemployment in Nigeria because the
products of technical colleges do not have the knowledge and skills that will enable them to
take up the available jobs. Okoro further stated that while there are no jobs for the unskilled,
there are many job for the highly skilled. Therefore, if technical colleges provide trainees
with the requisite skills needed, such trainees after graduation will be self-reliant in the
absence of paid employment in the industries. In addition, the industries would find these
products useful, since the success of industries in an increasingly competitive world is
contingent upon skilled personnel.
The adaptation to the changing market and technologies require skilled personnel. Tukur
(1991) stated that the industries are too busy in the production of goods and services and all
they require are technical personnel who can easily and within a very short period join the
production line. The world of work is a world of technology; the industries are on the outlook
for technological advances that could increase their profit margin in less time and with
greater efficiency. However, if the technical colleges are to provide the industry, the products
have to be trained. (Okorie, 2000). The changing world of technology has rendered
traditional skills inadequate for the world of work while creating need for new and often
sophisticated skills. The automotive systems imported or assembled in this country come
21
with new devices as a result of technological advancement. In this light, the National Institute
of Automotive Service Excellence, ASE (2005) certifies Automotive Service Technology
(AST) technicians in eight areas below to meet the current challenges:
- Engine Repairs
- Automatic Transmission and Transaxle.
- Manual Drive Train and Axle
- Steering and Suspension
- Brakes
- Electrical and Electronics
- Engine Performance
- Air conditioning
The required skills in these areas: engine repairs, Automatic transmission and Transaxle,
Manual drive train and Axle among others is considered important. Nice (2001) remarked
that the continual evolution in design is intended to achieve more reliable, streamlined,
cleaner and safer vehicle. Nice further stated that auto technology seem to get more
complicated because automobiles today might have as many as fifty micro-processor on
them. The micro-processor include computers, computers today are playing significant role
in the field of automobiles. Vehicle with gasoline engines must pass inspections, receive
maintenance, and undergo repairs by highly skilled automotive service technician and
mechanics. The development in automotive repair has seen a change in emphasis from
mechanical to technological work. Presently, vehicles use high-tech computers complex
electronic systems to monitor the performance of the vehicle. A strong sense of
understanding concerning the operation of a vehicle including how each device interacts, as
22
well as the ability to deal with electronic equipment and digital reference manuals is key to
the success of a technician. With electronic diagnostic equipment, auto technology graduate
is able to diagnose, maintain and repair automotive system effectively.
Engine is classified as the power plant of automotive system. Automotive engines have
gone through tremendous changes since the automobile was first introduced in the 1880s, but
all combustion engines still have three requirements that must be met to do their job of
providing power-air, fuel, and ignition. The mixture of air and fuel must be compressed
inside the engine in order to make it highly combustible and get the most out of the energy
contained in the fuel mixture. Since the mixture is ignited within the engine, automobile
power plants are called internal combustion engines. Most of them can be further classified
as reciprocating piston engines since pistons move up and down within cylinders to provide
power. This up-and-down motion is converted into turning motion by the crank shaft.
Automatic transmission and transaxles as one of the automotive driving power unit
have been used for more than sixty (60) years. They have been constantly modified and
improved, evolving from early inefficient designs to the smooth-shifting efficient unit of
today. Most modern transmissions provide almost the same fuel economy as manual models.
Thus, Manual Drive Train and Axle (MDTA) introduces the theory and services of
automotive power trains in the following; clutches and clutched linkage, drive shaft and
universal joints, front wheel drive axles, manual transmissions, differentials among others.
The suspension system and steering system (SS & SS) had been modified as a result of
technological advancement. The suspension system employed in automobile today is known
as fully active suspension system. In an article published via http//www.uk car.com, a fully
Active Suspension system has double acting hydraulic actuators instead of springs and
23
damper. As wheel meet bump the electronic control unit (ECU) uses the wheel signal to
calculate the road speed and the wheel speed as well as the wheel deceleration and
acceleration values. When required, it actuates the solenoid values to prevent locking of the
vehicle wheels known as Anti-lock Braking System (ABS). Since this dialogue is conducted
hundreds of times a second, the wheels accurately follow the contour of the roads and bumps
protecting the body structure against unwanted forces. In the case of steering system the
Electronic Power Steering (EPS) is gradually replacing the hydraulic power steering system
and leading the steering system in the modern car development (Guo Biaoshi, 2007).
The modern car development in the area of electrical and electronics is aim at giving
the trainees the skills to identify the fundamentals of electricity and electronics, electrical and
electronic circuits, and the characteristics of these circuits. Automotive electricity and
Electronics, 1997, Al Santini, Delmer publisher, 0-82 73-6743-0 reported that electrical and
electronics aims at training the trainees on how to build the electrical and electronic circuits
and to carry out different measurement operations on the electrical variables to determine
circuit component and condition. However, the situational condition of engine performance
depends on the basic principles of fuel and induction system. This also includes the basics of
pressure differential, the venture principle, and fuel systems for gasoline and diesel engines
among others. Engine performance for gasoline and diesel also assists in the operation of
automotive heating and air-conditioning system.
The Auto Heating and Air –condition presents the theory and operation of automotive
heating and air-conditioning system. Ford motor company, climate control systems, in 1988
and Nissan motor Co. Ltd. infinity Qx4 manual. Tokyo in 2011 reported that air-conditioning
aims at familiarizing the trainees with the operations of different air condition systems, and
24
the methods used in diagnosing faults and executing maintenance, repair, and adjustment
operations in a technically correct manner. Technological innovation in the application of
computer to automobile has brought about the development of computer-controlled panels in
almost all the automotive system either imported or assemble in Nigeria. In the light of these
changes, auto mechanics program has been designed to meet the training needs of the local
labor market by taking into considerations the National Occupational Skill Standards (NOSS)
for Automotive Technology or Trade. Technical institutions in Nasarawa state offering
automotive technology are charged with the responsibility of equipping auto technology
students with relevant automotive technology skills required for the students to be competent
to handle any piece of work that pertains to automotive repairs. In addition to post-secondary
education providers such as community colleges, vocational schools, and four-year
institutions, the public workforce system is another critical partner in helping to narrow skills
gaps. The original Workforce Investment Act (WIA) passed in 1998 set up the federally
funded public workforce system designed to help individuals obtain the skills and training
needed to be employable and to help organization find skilled workers to employ. Okoro
(1999) has remarked that every society needs efficiency and well-trained workers poorly
trained workers are costly in terms of time and equipment. Okoro explained further that a
well-trained auto mechanics would be able to diagnose and repair automotive faults
effectively. It enables them to become capable of living in the society and to contribute
towards its economic development (Nwachukwu & Nwamuo; 2010). This shows that a
functional education system takes cognizance of the dynamics of the labour market,
graduates with occupational skills and competencies to enable them be self-reliance.
25
Concept of Skills
As time in the labor market accumulates, individual wages become increasingly
correlated with plausible proxies for an unobserved, individual-specific quality defined as
ability (Farber and Gibbons, 1996; Altonji and Pierret, 2001). This is consistent with a model
in which agents learn about a fixed, transferable worker component of production over the
course of the career. While Altonji and Pierret and others have focused upon the signaling
role of education and statistical discrimination, evidence of this type of learning also furthers
the original objective of Farber and Gibbons (1996) to present learning as a determinant of
wage dynamics that complements the established frameworks of human capital and search.
In a general setting, a typical learning model is equally capable of matching observed mean
wage profiles compared to other explanations but may differ in its predictions for other
objects of interest such the variance of wages (Rubinstein and Weiss, 2006). These
differences in predictions as well as potential policy implications continue to motivate further
study of learning in the labor market.
To the extent that learning influences labor market outcomes, an additional
consideration is the speed at which it occurs. If learning matters but happens very quickly, it
may have little economic significance. Lange (2007) studies early career wage movements
and finds that employers do learn relatively quickly, with initial expectation errors halving in
about three years. This leads to an estimate of the signaling value of education accounting for
less than 15% of the estimated marginal return to schooling. In a similar vein, Arcidiacono,
Bayer, and Hizmo (2010) take the log wage regression that has been the standard in this
literature beginning with Altonji and Pierret (2001) and estimate it separately for high school
and college graduates. They fail to find any evidence of learning at all among the college
26
educated. Specifically, this education group fails to generate the hallmark of learning in this
specification: a significantly positive coefficient for the interaction of ability and experience.
This leads to the conclusion that technical college graduates demonstrate their ability on the
job while college perfectly reveals ability.
These recent results introduce some doubt as to whether learning is a widespread
phenomenon in the labor market or a process restricted to certain subgroups at select stages
of the career. However, it is important to note that wage changes are but one potential
outcome of learning about a permanent component of individual productivity. Another
plausible outcome of a negative signal, in particular, is the termination of a match by the
firm. Firings commonly occur and are a powerful and unambiguous indication that a match
that was once seen as profitable takes on, for whatever reason, an irreparably negative value
to the employer. If learning does result in a firing for some workers, it is also conceivable
that it has affected job prospects going forward and increased the possibility of long
unemployment duration. This study uses a search model featuring public learning about
worker ability to derive unique implications of these learning-related outcomes for wages
augment the typical empirical specification of the learning literature with plausible proxies
for the reception of a negative signal and present evidence supporting the model using data
from 1For a comparison of search, human capital, and learning see Rubinstein and Weiss
(2006). The National longitudinal survey of youth, the researcher find that learning is
important for both high school and college graduates and provide an alternative explanation
for previous results that led to the conclusion that college graduates do not face any
uncertainty regarding their productivity on the job.
27
The model generates outcomes of learning that have not been fully accounted for in
the recent empirical literature, features a rich yet tractable production and learning process,
and has potential extensions in several directions. Firings and long term unemployment arise
through the interaction of search behavior and learning in an environment where jobs have a
fixed skill requirement and a fixed output if the worker satisfies the ability requirement.
Workers update beliefs about their ability by learning whether or not they satisfy the ability
requirement of the job they currently hold. Firings occur when it is revealed that a worker
does not satisfy the minimum requirements of their current job. Long term unemployment
arises when a worker learns they do not satisfy the skill requirement of a low skill job and
must wait to be matched with an even less demanding job. Employer skill requirements are
an important characteristic of the model for several reasons. Skill requirements combined
with learning provide a natural source of firm-initiated separations, or firings. Workers
failing to satisfy a job’s skill requirement produce nothing and, once revealed, their retention
is not profitable for the firm at any positive wage. Skill requirements also allow for a
fundamental change to the learning process itself, avoiding the imposition of equal rates of
learning across all jobs while retaining tractability. Rather than learning occurring through
the repeated observation of noisy signals of a worker’s ability, skill requirements within a
search framework allows one to dispense with the signal noise process altogether and still
feature the gradual revelation of a worker’s true ability. In this model the individual’s
posterior distribution of ability is based upon a truncation of the population ability
distribution, where the lower and upper bounds change, respectively, in response to the
positive and negative signals of the worker’s ability to produce received in different jobs over
the course of the career.
28
Most work to this point in the learning literature has either explicitly or implicitly
relied on a standard Bayesian learning process in which agents regularly receive a noisy
signal of the worker’s ability (for notable exceptions Cunha, Heckman, and Navarro, 2007;
Navarro, 2004). This is commonly inferred via direct observation of output from a
production process which is strictly monotonic in worker ability and subjected to random
noise. In the canonical Jovanovic (1979) learning model, agents continuously learn about an
idiosyncratic match quality component of production. This type of learning has been
integrated into search models before (Jovanovic, 1984), but learning about idiosyncratic
match quality has no permanent effects by construction and so this particular specification is
of no use in explaining long unemployment durations or wage stagnation across jobs. The
more recent literature modifies this framework so that agents publicly learn about permanent,
transferable worker ability and derives testable implications of the standard Bayesian
learning model. This study diverges by making learning occur across jobs with varying skill
requirements rather than uniformly over time. Learning is based upon a random signal
verifying that the worker satisfies the job’s skill requirement, and after receiving a signal a
worker must move on to another job to update beliefs. The rate of learning in this paper
varies with the rate at which workers place into jobs requiring greater skills. Further, the
amount learned about an individual worker’s ability in any given job depends on the ex ante
probability that the worker satisfies the job’s skill requirement. This implies that the
information content of signals is state dependent, a feature also present in Sanders (2011).
Another common factor in the prior empirical literature on learning is a production
process that is strictly increasing in the worker’s imperfectly-observed ability. Firings and
endogenous separations in general are not as natural of an outcome of this type of production
29
process compared to one with skill requirements, although it is possible to account for them.
However, it is difficult to allow for firings caused by learning to have a permanent impact in
this framework due to the relative smoothness of the updating process. If wages are believed
to represent all current information about a worker’s ability at any time, the fact that a worker
has been fired should not contain much additional information compared to the last observed
wage.
In contrast, this study assumes that jobs have a predetermined output and require only
a worker with sufficient skill to complete the task. As a result, all workers that satisfy the
requirement are equally productive. This is a common assumption in the skill-biased
technical change literature (Acemoglu, 1999; Card and DiNardo, 2002). Albrecht and
Vroman (2002) specify a search and matching model of the labor market to this effect, where
workers are of two skill levels and match with jobs that vary in their skill requirements. The
model implies a high degree of assortative matching and even under perfect information the
skill requirements that accompany job vacancies in the matching process have important
implications such as exit rates from unemployment that depend on the worker’s skill level
(high type workers can match with low type firms but the reverse is not allowed). Uren and
Virag (2011) address within-group wage inequality by integrating skill requirements into a
Burdett-Mortensen framework, generating similar implications using a continuous wage
distribution. This study makes advancement by integrating a learning process based upon the
skill requirements into a search model of the general labor market.
This study also relates to the literature on unemployment stigma and scarring and the
effects of job displacement. Gibbons and Katz (1991) present and find empirical support for
a model in which a downsizing firm’s decision of which workers to lie off and which
30
workers to retain communicates information about worker quality to the market. Vishwanath
(1989) characterizes optimal search behavior from unemployment when pre-employment
signals of ability are present. Firms avoid workers with long ongoing unemployment
durations, inferring that the worker is of low ability. In this study broaden the scope of
learning and provide simultaneous explanations for these Jovanovic (1979) features
separations due to learning about a match-specific component of production. When learning
about a permanent worker component, however, any new information may also have an
effect on the worker’s outside option. When jobs are ranked by their contribution to output, if
the declining expected ability of the worker does manage to cross a possibly declining
threshold for separations there is a counterintuitive implication that the now unemployed
worker only accepts new matches with jobs of a higher type than the previous job. Further, if
the firm’s value of a vacancy in equilibrium is zero the firm prefers to retain the worker at
any positive level of output. If the wage is contained in some way, such as by a minimum
wage, firings may occur but with the same counterintuitive implications for sorting outcomes
as well as wage growth. Stevens (1997) is also notable for several reasons. Against what
appears to be convention in the displacement literature, Stevens includes firings in the
definition of a displacement and also looks at the effects of displacement on wages across
different educational groups separately using a fixed effects model. It is determined that
repeated job loss is a key factor in explaining the persistent effect of displacement on wages
commonly documented in the literature, and once this is controlled for the long-run effects of
displacement are reduced. There is also an indication that the college-educated suffer larger
earnings losses relative to those with high school degrees or less education. However, firings
are not looked at separately and the estimated effect of a single displacement is concluded to
31
dissipate over time. In order to achieve the individual ability, that is on the job. The
researcher presents the model of learning and generates new implications regarding the effect
of firing on subsequent wages as follows.
Model
This model builds upon the search with counteroffers foundation of Postel-Vinay and
Robin (2002). The main premise is that workers differ in their permanent productive capacity
or ability and must overcome search frictions and the lack of perfect knowledge about their
true productivity to match with a job for which they are best suited. In a frictionless world
with no uncertainty there would be perfect assortative matching as workers would go directly
to firms requiring their exact level of ability. In this model, however, agents must learn about
worker ability on the job, treating the value of the worker-firm match as an experience good
(Jovanovic, 1979). Following a long line of previous work departing from Jovanovic (1979),
the object of learning is permanent and transferable such that the worker’s entire sequence of
match values will be serially correlated. The point at which I make a key divergence from the
current learning literature is in the specification of the production function. I assume that
output is not directly observable and only depends on worker ability through the worker’s
satisfaction of a job-specific skill requirement. This is consistent with a world in which the
duties and output of each job are predetermined but also dependent on outside factors such as
coworker performance that impair the immediate, direct inference of the worker’s
contribution. Firms are primarily concerned with qualifications and whether the worker has
the requisite ability to produce in a particular job. High ability workers must be placed in
more demanding jobs in order to produce more than low ability workers.
32
In this model, auto technology graduates receive randomly arriving signals that reveal
with certainty whether or not they have the requisite ability to be productive in their current
job (auto technology). This is a significant divergence from the widely used learning process
in which ability is inferred directly via repeated observations of noisy signals. Graduate of
auto technology use these signals to form beliefs about their own ability, which influences
reservation behavior while searching from unemployment and on the job. The primary
implication of this particular signal process for learning is that workers must keep climbing
the job ladder to continue refining their beliefs about their own ability or competency.
Some studied suggest that the definition of competency may be drawn from the
domain of knowledge, skills, and attitude and performance indicators. Competency has a
number of definitions which depend on the specific task to be performed by individuals
under different conditions. Competency was first popularized by Boyalzis (1982), who
performed as comprehensive study of over 2000 managers and he identified and assessed
over a hundred potential competencies. Boyatzis defined competency as, “the capacity that
exist in a person which leads to behavior that meets the job demands with the parameters of
organizational environment, and which in turn brings about desired result. The competency is
considered to be an underlying characteristic that an individual entrepreneur brings to a job
situation, which can result in effective and/or supervisor performance in such job.
The entrepreneur’s competency is highly a critical factor in achieving excellence in
performance to ensure a sustainable and success amidst a competitive business environment.
Therefore the importance of entrepreneurial competency has been increased during the past
decades due to the strategic role played by human factor particularly the entrepreneur’s of a
business enterprise. It was suggested that the entrepreneur’s demographic characteristics,
33
attitudinal, behavioral, managerial and technical competencies are often cited as the most
influential factors related to the performance of small and medium sized enterprises (Man,
Lau and Chan, 2002; and Noor, 2010). These unique features of small and medium scale
enterprises management mean that the competencies required of the entrepreneur include not
only managerial skills in the various functional areas, most importantly, the ability to manage
the complex and diverse interactions with the various agents and stakeholders in the business
environment. For this behavioural and interpersonal competencies are very important. In
addition, the ability to gather and organize information and to learn from the interactions
with the key agents in the environment is essential. The real challenge of entrepreneurs is to
raise their ability to learn from experiences and derive from them insights and knowledge
that are relevant in managing future interactions. However, in running a small business, the
tight and synergistic combinations of entrepreneurial and managerial competencies are
required. Hence, competencies of management in the context of this study will lead to the
growth of individuals and enterprises to help enterprises meet future demand.
Entrepreneurial Skills
From a rhetorical perspective, entrepreneurial skill is important, because the concept
of a skill implies the possibility of learning, and consequently teaching entrepreneurship. In
the psychological literature on entrepreneurship, as well as in some theories by economists,
entrepreneurs are often described as individuals with certain kinds of stable and enduring
characteristics or features. The emphasis is on personality traits, (Brockhaus and Horwitz,
1986; Cromie 2000). These traits presumably originate from early childhood, and persist
through years. Therefore learning and teaching are not relevant issues. The concept of skill
does not necessary imply this kind of innateness, rather the possibility of communication and
34
change (Stevenson and Jarillo). Indeed the entrepreneurial literature until the mid 1980’s
focused on these innate traits as a way of identifying entrepreneurship. It was only after such
critiques as Gartner (1985) and Chell (1985) that research turned more to seeing
entrepreneurship as an organizing practice. Of course, in the context of teaching, it is much
easier to talk about learning in the connection of skills than in the connection of personality
traits.
However, as Stevenson and Jarillo emphasized, one must focus on activity when
talking about skills and entrepreneurial skills are defined and described in relation to
entrepreneurial tasks. But, as already noted, entrepreneurial tasks are multifaceted (Smilor
1997). Therefore, the concept of entrepreneurial skill is, by necessity, ambiguous.
Furthermore, it appears to be a wide concept, so that it actually covers the whole of
entrepreneurial activity as well as various aspects or subcategories of it. One may question
whether it is only a question of skills? Indeed, how self-contained is the concept of skill?
Moreover, if an attempt could be made to explain entrepreneurial success with the help of the
concept of entrepreneurial skills, which would be the most relevant of the other factors
needed in such explanation?
Two types of factors can be suggested. First, a skill is learned, mastered and used by
somebody. The individual/actor/agent is, therefore, relevant. Secondly, even though an
entrepreneur may not only recognize, but also actively construct new business opportunities,
he/she cannot do so in a vacuum. Consequently entrepreneurs enact their environment, thus
entrepreneurial skills involve dealing with material and social environment; so situational
factors are also relevant. Many formulations of entrepreneurial tasks and skills imply the
presence of situational factors: markets, customers, investors, or human resources, social
35
networks and ties generally speaking. Many authors approach entrepreneurship as socially
embedded activity (Aldrich and Zimmer 1986; Carsrud and Johnson 1989; Granovetter 2000;
Jack and Anderson 2002). On one hand, the idea of social embededness underlines the
importance of skills that are related with dealing with other agents; on the other hand, it
emphasizes the fact that there are social constraints in the environment, all of which cannot
be unilaterally controlled by the entrepreneur, however skilful he/she might be.
Concerning the individual factors, a good example is in the study of entrepreneurial
self-efficacy (Chen et al. 1998; Boyd and Vozikis 1994; De Noble et al. 1999).
Entrepreneurial self efficacy refers to the strength of an individual’s belief that he or she is
capable of successfully performing the roles and tasks of an entrepreneur (Boyd and Vozikis
1994; Chen et al 1998). From the perspective of self-efficacy theory (Bandura 1986), skills
are not enough in explaining behaviour, but one needs to take into account cognitions
concerning the relation between self and behaviour, such as self-efficacy. This kind of belief
can be interpreted also in terms of self-confidence. One may view self-efficacy, and self-
confidence, as behavioural attitudes, comparable to optimism and persistence, for example.
These kinds of attitudes are not strictly speaking skills, but it is common sense to conceive
them as prerequisites for efficient learning and use of skills. In the literature on
entrepreneurship is has been conventional to view these kinds of attitudes as individual
dispositions, or personality traits. However, as attitudes that have a specific object – that of
entrepreneurial behaviour - they can be approached also as something that can be changed
through communication or experience (Shaver 1995). The significance of attitudes might also
be extended to cover, not only behavioural attitudes, but also those values and conceptions
that an individual might have about entrepreneurship. For example, it is not self-evident that
36
everybody would consider developing entrepreneurial skills as desirable, or even socially
acceptable. Individual backgrounds, cultural traditions, social and institutional settings may
have considerable bearing on the individual’s willingness to learn or use entrepreneurial
skills.
Entrepreneurial skills in business operation are considered to be Very complex in a
competitive business environment which is constantly changing with fast technological
advancements. An entrepreneur is expected to interact with these environmental forces
which required him to be highly skilled in different dimensions like intellectual, attitudinal,
behavioral, technical, and managerial aspects. Entrepreneurs are therefore permanently
challenged to deploy a set of Competencies to succeed in their entrepreneurial endeavors.
Base on the work of Boyatzis (1982), entrepreneurial competencies are defined as
underlying characteristics possessed by a person which result in new venture creation,
survival, and / or growth (Bird, 1995). These characteristics include generic and specific
knowledge, motives, traits, self-images, social roles, and skills that may or may not be
known to the person (Boyatzis, 1982). That is, these characteristics may be even unconscious
attributes of an individual. Some of these competencies are innate while others are acquired
skills in the process of learning and development. In an effort to make difference in terms of
innate and acquired skills. Muzychenko and Saee (2004) differentiate between innate and
acquired aspects of competencies of an individual. The former involve traits, attitudes, self-
image and social roles and are sometimes referred to as “internalized element” (Bartlett and
Ghoshal, 1997) and the latter involve components acquired at work or through theoretical or
practical learning (that is, skills, knowledge, and experience), and they are often referred to
as “externalized element” (Muzychenko and Saee, 2004). The internalized aspect of
37
competencies can be acquired through proper training and education programs and need to
be practiced (Garavan and McGuive, 2001; Man and Lau, 2005). In the context of a small
business enterprise, these competencies are normally studied as characteristics of the
entrepreneur, who owns and actively manages the business (Gibb, 2005; McGregor and
Tweed, 2001). Hence, Stuart and Lindsay (1997) also defined competencies as a skills,
knowledge, and personal characteristics. Entrepreneurial competencies have also been
understood in terms of traits, skills and knowledge (Lau et al, 1999): Newer approaches to
entrepreneurial skills, according to George (2007), have been built upon the technical,
human, and conceptual skill classification, but are highly different. Aliyu (2001) outlined
three domains of managerial skills, purely technical skills, cognitive abilities, and
competencies that demonstrated emotional intelligence.
For the purpose of the present study, entrepreneurial skills are defined as individual
characteristics that includes; Technical, managerial, financial, marketing, and
Communication skills. These skills enable auto technology graduates to achieve and
maintain automobile business successfully.
Technical Skills for Entrepreneurship
Technical skills of today’s auto technology have become a major challenge to the auto
motive technicians. Apparently, it is upon this (technician and entrepreneurial skills) that the
business enterprises depend to a great extent. According to Naraya (2004), Repair and
maintenance of automobiles is a set of preventive, corrective or breakdown rectification
activities. Olaitan, Nwachukwu, Igbo, Onyemachi and Ekong (1999) defined the process of
repairs and maintenance as taking specific approved step and precautions to care for a piece
of equipment, machinery or facility and ensure that it attains its maximum, self-life. Auto
38
Technology graduates must acquire technical, skills to achieve the effectiveness for
maintenance and repairs of automobiles.
However element of the graduates stock of skills and knowledge contribution to their
employability, basic and soft skills, it is important, at this point, to recognize the range of
definitions and models (Pedagy for employability group, 2004; Yorke, 2004, Yorke and
Knight, 2004) of what constitutes graduates employability. The researcher believed that as
the global economy evolves so will these models, and it is essential to continuously ascertain
and articulate employer opinion on what makes a graduate employable; and ensure that Auto
Technology Programs are suitable aligned. The traditional classifying categories for a task
analysis use knowledge and skills (Jonassen, 1999). However, to stay aligned with a goal for
this process to be authentically align with the Career and Technical Education (CTE) areas,
the categories need to present cognitive, psychomotor, and affective as they exist in the real
world, which is often very complex. The latter classification seems to be too inclusive and
limited to the sensitivity of the depth of the authentic ability. Another proposed categorical
system of levels used four targets in a continuum and they are; knowledge, reasoning, skills,
and product (Stiggins, Arter, Chappuis and Chappuis, 2004; Chappius and Chappius, 2002).
However, the letter terms; product does not fit many authentic repair processes, such as those
used in automotive service technology. In a US survey of IT employers, the Boston Area
Advanced Technological Education Connections (BATEC, 2007) group found that
employers placed more emphasis on employability. Skill than technical ones; technical skills
are important, but without employability skills, technical skills are merely commodities.
Changes occasioned by technological advancement obviously demand, a
commensurable skill adjustment (Okorie, 2000). A number of countries, according to
39
Okorie, affect by the impact of new technology clamour that skills are inadequate for future
needs. As a result for future needs, technological innovation in the application of computer to
automobile has brought about the development of computer-controlled panels in almost all
the automotive system either imported or assemble in Nigeria. In the light of these changes,
auto technology program has been designed to meet the training needs of the local labor
market by taking into considerations the skills standard for auto technology or trade. Human
resources and skills development Canada in 2009 outlined some of the essential skills for
success as an automotive technician.
Thus, auto technology graduates must possess technical skills for adequate and timely
maintenance action which will minimize the incidence of failure and increases the reliability
of vehicle engines, machines and equipments through the effective management of
maintenance functions within their organization.
Managerial Skills for Entrepreneurship
Managerial competencies are underlying skills, including work habits and ethics,
essential to the work place and personal growth. These skills are taught with the intention of
providing the entrepreneur with a well-rounded understanding of workplace expectations in
areas not specific to a particular occupation, in an attempt to develop a valuable employee.
Anyakoha (2009) outlined some managerial competencies to include; ability to communicate
effectively, ability to make long and short term planning, ability to manage time, finance and
meet job schedule. Entrepreneur can gain competitive advantage by implementing continual
and on-going innovations and the managerial skills and knowledge that are in the centre of
this process of innovations. Many times these facts are underestimated by small
entrepreneurs and overlooked by support programs for development of this size of
40
entrepreneurship. Development and support programs for entrepreneurs should also focus on
the area of skills and knowledge. Whether these assertions are justified and the neglect of
managerial skills by entrepreneurs affects their success are the questions which we would
like to cover in this study.
Entrepreneurship play significant part in employment and professional training of
young people. Compared to big companies, they employ more women, young people and
part-time employees. Entrepreneurship are closely connected with the region than large
employers and therefore have significant influence on further the region’s development.
Fiscal decentralization of the regions of Nasarawa state creates pressure on municipalities
and Government, who must pay a closer look on actual needs of all employers doing business
in the particular region. Only this ways the Government can secure loyalty of these
employers and support them in their business.
In the transitive economies like Nasarawa State, there is relatively smaller share of
entrepreneurship. Government efforts are trying to speed up the change of the size structure
with various support programs and instruments.
Recently, the most significant changes that influenced the business environment are:
• youth empowerment scheme
• establishment of new tax system – flat tax of 19%
• speeding up of the procedures needed to start business
• change from defined benefit to defined contribution pension plans
• slight improvement of communication with tax offices
The results of empirical studies of small enterprises by Newton (2001), show that
failure and bankruptcy of enterprise is caused more by internal problems inside the enterprise
41
rather than by outside generated problem. Small enterprises do not create enough force to
survive and overcome daily problems in the long run. Same experiences gained by Gerber
(2001) from his own consultancy practice the following entrepreneurial myth: The fatal
assumption is – you understand the technical work of a business, you understand a business
that does that technical work “.Gerber points out to the fact that, small enterprises are mostly
founded by technicians, specialists or professional in certain field. For example, an
accountant or a carpenter “know their onions” but have little information and experience in
the field of management. They can perform their work on professional level, but seldom do
they entrust their enterprise in the hands of manager, or try to acquire this knowledge by
themselves. They run into problems with management of their enterprise because they
concentrate all attention just to their specialized field of expertise. The management and
managerial skills are neglected. Similar results come out of Slovak study (National agency
for development of enterprises, 2005), where the second most significant reason of not
wanting to be in business (right after lack of financial capital) were missing skills and
experience needed for conducting a business. It is also the role of supporting program to
help explain the difference between entrepreneurial and managerial education. The skillful
worker who decides to go into business for him/her can be easily overwhelmed by the both
types of needed skills. That is managerial and financial skills.
Financial Management Skills for Entrepreneurship
Financial as well as non-financial managers can benefits from knowledge finance,
Robert and Ricardo (1996) opined that in most business organization the majority of
managers are not working directly in finance area. Nonetheless the knowledge of finance is
often very useful for non-finance manager. Financial management demands that the
42
enterprise owner/manager must need to plan for all his future need for funds, plan for the
most economical way of acquiring funds from different sources and be able to also plan for
the most efficient way of putting to use acquiring money from friends family members,
banks other sources. Needle (1997) indicated that financial management is concerned with
the raising of capital to finance the organization’s operation and with ensuring that the
company can generate sufficient revenue to cover the cost of raising the finance. The author
further identified personal savings, share issues, bank borrowing, state funding and internally
generated funds (redistribution of profit) as nucleus of financial management.
According to Nieman (2006), financial management is responsible for acquiring the
necessary financial resources to ensure the most beneficial results over both short and the
long term and making sure that the business makes the best use of its financial resources.
Dayananda (2002) add that the financial manager is engaged in two primary tasks, namely
financing and investment decision-making. Gitman (2010) stated that, in addition to
financing and investment decision making, the financial manager must ensure that cash is
managed efficiently so that the business can become profitable. All the primary functions are
interrelated. An investment project, whether of a long-term or short –term nature, cannot be
undertaken without adequate financing.
However, Osuala (1995) is of the view that there is a correlation between inadequate
record and the business organizations of which this constitute a major problem. Financing
management is the systematic recording of financial transactions. It is a service activity, the
function of which is identifying, measuring, recording and communicating quantitative
information, primarily financial in nature, about economic entities Ezeani (2008) sees
financial management as the process of expressing the economic activities of everyday life in
43
money terms, so that we may estimate the costs of creating goods and services, make
decisions about production on the basis of these estimates, compare the actual costs as they
occur with the estimate originally made, and adjust the output and prices of goods and
services accordingly. Ama (1999) as cited by Ezeani (2008) sees financial management as a
set of themes, concepts or (ideas) and techniques by which financial data are processed into
meaningful information for reporting, planning, controlling and decision-making purposes;
or situation according to him may create some difficulties for the entrepreneur, as he may not
come to full appreciation of the meaningful relationship between financial activities and
results. He however, further advised that the entrepreneur should make effort to acquire
knowledge/basic competencies of financial management as success can only come to his/her
business through such efforts. Having basic financial knowledge or skills does not necessary
imply that the proprietor (entrepreneur) should be able to appreciate the contributions that
financial information offers in solving both financial problems that may arise from time to
time. The entrepreneur should be able to prepare and interpret his/her financial statements.
He should be able to keep and maintain records of receipts and payments (cash book),
income and expenditure and a balance sheet for the business.
Agbonifoh (1999) advised that the need of modern business make it essential for all
managers (entrepreneurs) to have a sound appreciation of the financial implications for their
plans and actions. They went further to explain that in the competitive world, the key factors
are costs, prices, turnover and profits. These are factors, which no manager can ignore.
Therefore, it is very important that every auto technology students possess the basic or
fundamental knowledge of financial skills. They should be able to appreciate and interpret
simple financial statements. This will help in reducing the rate at which small-scale business
44
go into liquidation. Having made this distinction, it is possible to draw on recent reviews
such as de Meza et al. (2008), Remund (2010), PACFC (2010), Bank of Zambia (2012) and
OECD (2012) for a list of the core elements that define these concepts Knowledge of
financial concepts. It is important to note that almost all widely used definitions treat
financial education as a process that develops financial capability, not merely literacy
(OECD 2005), even though in practice curricula can be more or less ambitious in scope. In
any case, the assumption is that financial education can achieve significant and persistent
change in the learners’ financial behaviours by raising their levels of financial capability.
Following the 2008–9 financial crises, the continued experience of financial
exclusion in developing countries and the severe credit rationing to enterprise in developed
countries revived interest in how the concept of financial capability might relate to agents in
the business world entrepreneurs, managers, or company directors. From a theoretical
perspective, some complications are bound to arise.
As Bay et al. (in press) explain, the way financial literacy is discussed in the business
world can be very different from the way it is discussed in a pure consumer setting. In the
latter, the aim is to highlight and remedy illiteracy, setting out an implied curriculum; in the
former, the aim is to distinguish between different levels of literacy, setting out criteria for
eligibility. The consumer approach to financial literacy seeks inclusion (for example, turning
individuals into confident and reliable consumers of financial services) while the business
approach seeks exclusion (for example, avoiding majorities of financially ‘illiterate’ directors
on company boards). Perhaps uniquely among the many target groups at which financial
education is aimed, entrepreneurs sit astride this distinction.
45
Financial institutions want entrepreneurs as their customers and governments want
them to be able and willing to access external finance. Yet, at the same time, entrepreneurs
are seen as responsible for the survival of vulnerable entities whose needs they may not fully
understand, and with greater use of external finance comes greater risk. At 8–14% per
annum, business mortality rates are substantial even in the developed world and were still on
the rise until recently (OECD 2013). Entrepreneurs’ lack of financial capability is often
portrayed as part of the reason for the substantial churn in the sector (New Vision 2011),
even though many business exits are arguably not ‘failures.’
Even entrepreneurs with unlimited liability who could, in theory, argue that their
businesses are theirs to make or break, may be putting the livelihoods of employees, family
members, suppliers and customers at risk through their financial decisions; under many
bankruptcy regimes they could do so without internalizing most of the social cost (Metzger
2010). Hence the case for financial education is, if anything, stronger when it comes to
entrepreneurs.
As a result of the differences between consumers and entrepreneurs, notions of financial
capability and literacy as applied to the two groups are also bound to be different. As OECD
(2013) demonstrates, internationally applied curricula overlap substantially and there is broad
consensus that they should include an understanding of financial and risk management,
record keeping and compliance, and of the main finance providers and their requirements. If
just-in-time training and insights are among the keys to successful financial education, then
this begs the question of what the right timing is. In a wide-ranging critique of financial
education, Willis (2008) warns that the search for what the literature refers to as ‘teachable
moments’, when individuals are most open to and confident about learning, is rarely
46
comprehensive enough, with programme designers settling instead for ‘reachable moments,’
such as the point when a loan application is made or a bank account is opened, which do not
produce the same behavioural benefits. The fact that many interventions are sponsored or
otherwise supported by financial institutions compounds this problem. The central role of
financial management in entrepreneurs’ financial capability, the informal or non-commercial
nature of most business financing, plus ACCA’s reading of Cho and Honorati (2013), all
suggest that an alternative approach is needed. For entrepreneurs’ financial education, the
most genuine ‘teachable moments’ may not be linked to financing at all, but to business
planning and the creation of business policies, such as those on credit. This could go some
way towards explaining why generic business education outperforms financial education, or
even the combination of the two. It also suggests that the target outcome of financial
education should not be achieving access to external finance at all.
A ‘Plan First’ approach to financial education would use business planning, as
opposed to financial concepts or financial decisions, as the starting point for financial
education. Professional business advisers would talk entrepreneurs through their intentions
for their businesses, helping them develop a detailed and comprehensive business plan. A
simple system of financial management and controls, based on rules of thumb derived from
the business plan, could then be introduced complete with a schedule for regular management
reporting. This would mirror the process for setting key performance indicators (KPIs) with
which professional business advisers should already be familiar (ACCA 2013).
Entrepreneurs and their advisers would then work together to deduce the business’s actual,
specific financing needs and agree a tailored curriculum explaining how to identify
appropriate sources of financing inside and outside the business. This curriculum would
47
cover not only how the relevant finance providers make their decisions, but also how the
entrepreneurs themselves can evaluate their investment options before allocating funds to
them.
Crucially, a Plan First approach would not assume that external financing, let alone
any individual product, is necessary in the first place. Rather, it would emphasize the fact that
some short-term financing needs can be pre-empted by good financial management, or
fulfilled informally through trade credit arrangements. Similarly, the entrepreneur may need
to turn to friends, family or their own savings for some long-term financing needs. A Plan
First approach would, however, treat suppliers and informal financial providers as rational
decision makers on a par with banks, venture capitalists and the entrepreneurs themselves –
they need to be convinced of the creditworthiness or investment-readiness of the business
and the prospects of individual projects.
As enterprise’ most trusted financial advisers, professional accountants are obvious
partners in the provision of such programmes. Nonetheless, their involvement is often
hindered by the mistaken assumption that they as professionals are not sufficiently embedded
in poorer communities, where the need for support is likely to be greater. More careful
consideration, however, would reveal the opposite. A substantial share of ACCA members,
more than one-third in Africa and about one-quarter in the Caribbean, have experienced
deprivation first-hand.2 In Africa in particular, members are more likely to engage and
advise small businesses on a social basis than in their professional capacity (ACCA 2009).
With appropriate professional input, just-in-time interventions can be used throughout
the lifetime of the business, adapting as the needs of the entrepreneur become more complex.
Box 6.1 presents the findings of ACCA (2013) regarding the business needs driving the
48
evolution of the finance function: the same needs are likely to drive other kinds of
development and specialization as well.
Marketing Skills for Entrepreneurship
Marketing skills is another important and essential skill which depends on the very
success or failure of a business. Marketing is a common phenomenon but it is a very complex
and elusive subject matter. The activities of marketing are so diverse that it is difficult to say
exactly what marketing is. Osuala (1993) defined marketing as the process by which the
productive potentials of the company is used to satisfy individual and social needs of all
kinds.
Ezeani (1999) sees marketing as consisting of all profitable human activities
undertaken by the firm towards the creation of goods and services. Argument among
Nigerian traders is that successful entrepreneurship in trading occupation simply depends on
talent and luck”. They believe that programmed training in marketing skilled is irrelevant for
success in trading activities. This view is rooted in ignorance because education and training
can promote individual initiative and marketing competencies.
However, the auto technology student must acquire the sales and marketing skills that
will enable them to make such vital business decisions as “getting the price right” which is an
important factors in retail marketing. Stanton (2002) stated that sales and marketing skills
will keep the entrepreneur informed, knowledgeable and confident as to determine the most
efficient method of physical distribution of goods and services.
Uche (2006) as quoted by Ademiluyi (2001) opined that the acquisition of marketing
skills offers the entrepreneur the unique strategy for succeeding in business. Therefore, auto
technology graduate is able to offer the right services to his targeted customers. He is able to
49
cost and determine his maintenance and repairs price and which will be acceptable to the
customers, based on their perception of the value and a cost that allows for profit making.
Business related graduates require these marketing skills in order to enable them identify
their potential customers; persuade them to patronize their shops or services. Ademiluyi
(2007) also identified the following marketing skills and competencies, which are needed for
effective entrepreneurship by business related graduates: Salesmanship, Negotiation, Sales
record keeping, Sales promotion, Stock record keeping, Pricing, Advertising channels among
others.
Marketing authorities generally agrees that business organization exists to serve
markets for which they engage in production and distribution of goods and services. Modern
marketing emerged as the concept that business exists to create and serve customers and at
the same time achieving the firms profit objective (Ezeani, 1999). Entrepreneur in business
related areas should therefore organize their resources to concentrate on achieving success in
the market environment as mishandling of negligence can lead to failure.
However, marketing and sales environment is rapidly changing reflecting changes
brought about by Information Communication Technology (ICT). Management at any level
may continually and consistently adapt the organization’s marketing effects to keep pace
with observed changes. Such changes require management and staff training, and
development of effective selling skills through education with the help of ICT. Marketing
education in Nigeria involves acquisition of selling and marketing skills with the help of ICT.
It also deals with developing, training and retraining of markets and sales personnel
(professionals) for the purpose of meeting the changing demands of client and customers in
the market, and excelling in all e-permeated market environment for example e-sales.
50
The use ICT is relevant and important to e-permeated market since ICT comprise
technologies or electronics as radio, television, videos, computers, sensors, internet, interface
boxes, e-mail, satellite connections, among others. Nation Policy on Education (NPE)’s
vigorous effort to respond to on-going changes in all aspect of life recognized that:
Marketing education involves two main concepts which are marketing and education for
adaptability and creativity. Adaptability refers to the “ability to manage in a complex,
interdependent world. While creative ability refers to the use of imagination to create new
things which involves taking some risk (Tino and Browne, 2010). Marketing education
involves functional literacy which means the ability of salesmen with marketers to separate
meanings and express ideas in various technologies and regard to marketing. It also involves
motivation of learners and customers to learn with the help of ICTs like videos, television
and multimedia computer software.
The international Labour Organization (ILO) defined training in three areas to
include; Basic Education for all, Core work Skill for all, and Life Long learning for all.
Training and retraining of marketing students is unavoidably the only way of tooling and
retooling them as a calculated means of tracing up for the various challenges poses by
dynamism in the 21st century. The illiterate of the 21st century according to Futurist Alvin
Toffer, will not be those who cannot read and write, but those who cannot learn, unlearn and
relearn (Toffler, 1970). Training according to Ebitu (2002), is the systematic development of
the knowledge skills and attitudes required by an individual to perform adequately on a given
task or job”. This training is overwhelmingly necessary because of continuous changes in
technology, machines, equipment, strategies and knowledge.
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Communication Skills for Entrepreneurship
Communication is a matter of effectiveness, which is dependent on the interlocutors’
communication competency. In other words its effectiveness is dependent on one’s
competency in communication. Communication involves intents and efforts from both the
sender of the message and the receiver. It is a process that can be fraught with error such as
with messages muddled that is, mixed up by the sender, or misinterpreted by the recipient,
miscommunication in avoidable. However, if this is not detected, it can cause tremendous
confusion waste efforts and miss opportunities. Thus, communication is essential to effective
team performance and communications for any organization is like blood flow in the human
body.
The most efficient auto technology graduates are who, that understand
communication and they use it in their organizational environment. For coordination between
material and human elements of organization as efficient network, good communication is
essential. Because communication isn’t being connected organization operation will stop.
The context of this study would help auto technology graduates to communicate desirably in
the organization. Therefore, the researcher explains brief skills in communication,
communication process and types of communication. He then discuss communications
planning process, and with expressing Johary window clear vague and dark areas of
communication in organization for entrepreneurs.
Communication is transference and the understanding of meaning. Business
communication is the sending and receiving of verbal and non verbal messages (see fig 2)
Hauna and Wilson (1998) expanded on this definition, indicating business communication is
52
a process of generating, transmitting, receiving, and interpreting messages in interpersonal,
group, public, and mass communication contexts through written and verbal format.
Communication Send Receive
Verbal Verbal indicators you give to others. Verbal indicators that others
give to you
Visual Behavioural indicators such as hand
movements that you give to others.
Behavioural indicators others
give to you.
Fig. 1: Sample Communication Model
Communication skills have great importance in the work area just as they in all areas
of life. It is widely accepted that business management and business educators perceive
communication skills as highly valuable to employee and organizations alike. In business
organizations, numerous sources have reported that communication skills are critical to
career success and a significant contributor to organizational success (Du-Babcock, 2006) in
academia, research has shown faculty and administrators perceive that communication skills
are very important to students’ eventual career success (National Association of colleges and
Employers, 2001; Gray, 2010). Despite the agreement in business regarding the importance
of communication skills, evidence exists that long-term employees and those just entering the
workforce from college still lack this skills. Even though an organization perform its tasks
more efficient than expected, one should know that this success will not continue so long if it
lacks the same efficacy in communication (Zarei Matin, (2010).
The success of communication depends on several factors, transmission of message
by the process of encoding and decoding the message, which may result in short-term
perception, is not adequate for the success of communication. Communication should be in
53
such a way that will give opportunity for the respondent or receiver to tasks decision with
regard to the message he perceived (Master, 2008).
Studies have shown that listening is the most frequent aspect of workplace
communication (Adler and Elmhorst, 1999). Other studies have identified that managers
spend 65-90% of their working day listening to someone, with the percentage of time
increasing with level of managerial responsibility (Kotter, 1982, Nichols & Stevens, 1990).
However, research suggests that misunderstandings are the rule rather than the exception, and
that people generally achieve no more than 25-50% accuracy in interpreting the meaning of
each other’s remarks (Spitzberg, 1994). Becoming fully proficient at listening would
therefore seem to have significant influence on workplace communication and related
effectiveness.
Effective listening is a specific skill that can be consciously developed and practiced
in various workplace situations, whether a meeting, supervision session, telephone
conversation or chance meeting in the corridor. Listening is not simply a matter of hearing.
Listening is an active psychological rather than passive process, which enables us to attach
meaning to all the information we receive. It requires concentration and effort.
As we listen to others we interpret and evaluate the meaning from the verbal and non-
verbal information that we receive. We also plan and rehearse our response in preparing to
execute it. While the processes of evaluation, planning and rehearsal occur subconsciously,
they can therefore interfere with effective listening. It can be important to maintain
awareness of this to ensure that the processes that mediate between listening and speaking do
not actually interfere with the listening process itself.
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Listening Skills
Developing effective listening skills involves two specific steps (Hartley & Bruckman,
2002). These are:
1. To develop the ability to recognize and deal with barriers that prevents you listening
with full attention.
2. To develop and use behaviours which help you to listen. Such behaviours can also
serve to let the other person know that you are giving them your full attention.
Communication Process
Communication is the transmission of meaning from one person to another or too
many people, whether verbally or non-verbally. Nicholson, (1995) noted that
communication from one person to another is commonly depicted as a simple triangle
consisting of the context, the sender, the message, and the receiver. There are also at least
two positions on the role of communication in organisation. One regards communication as a
sub- process which plays an important role in other organsiational process. Communication
serves as a channel for the exercise of leadership or for the maintenance of international
linkages. The other position argues that communication in the process which constitutes the
organisation and its activities (Nicholson, 1995).
Communication is essentially a perceptual process. The sender must encode intended
meaning to create messages. The receiver then decodes the messages to obtain perceived
meaning. Effective communication depends on the sender and the receiver sharing an
understanding of the rules used to encode meaning into messages. Effective communication
according to Storh, (2002) is between individuals (the sender and the receiver) involves many
steps, including encoding, decoding, and feedback. In order for communication to take place,
55
an objective, expressed as a message to be conveyed by some person is required. This
message is encoded in human communication. The channel is the medium through which the
message travels (Vasu, 1998). Communication is about creating and exchanging messages
between senders and receiver channels. As shown in fig 2, the source in human
communication is the person sending the communication.
Fig. 2: Communication as a Process
In the light of the above, communication is a vital function which auto technology students
needs and must be conscious of in an attempt to improve the productivity of organization.
Organizational Communications
All communication is associated with initiating some form of action or behaviour.
Communication is generally one of three types (fig 3). At its simplest level, Top-down
communication is used to instruct, control, and direct impersonally. Top-down
communication is commonly associated with hierarchically structured, centrally driven
organizations in which decisions are taken without too much consultation at the lower
operating levels within the hierarchy. Feedback is not a requirement though team briefings
are usually undertaken by middle managers. In contrast to top-down communication, the
MESSAGE
Receiver
Communication Sender
Communication Sender
Network (channel)
Receiver
56
purpose of two-way communication is to create the conditions under which people freely
contribute move to the achievement of the organisation. Two-way communication is
associated with participatory styles of management, best practice, and the alignment of
project goals and personal goals.
Three-way communication that is downward, upward, and lateral are a feature of
“project organizations” in which people are encouraged to cross barriers to get the
information they need to do the job (Mcmanus, 2006).
Types of Communication Explanation
Downward communication The process is management owned and controlled and is
used to pass information down through the organisation
Downward and upward
communication
A two-way flow of information is exchange between
management and operating staff-ownership of the
process is sometimes shared.
Downward, upward and
lateral communication
There is a free exchange of information across the
organization
Fig. 3: Types of Communication
Formal and Informal Communication
Organizational communications differ in formality. Formal communications are
official, organisation-Sanctioned episodes of information transmission. They can move
upward, downward, or horizontally and often are prearranged and necessary for performing
some task.
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Informal Communication is more unofficial. The grapevine is the social network of
informal communication that helps people interpret the organisation, translates
management’s formal messages into “employee’s language”, and conveys information that
the formal system leaves unsaid. On the other hand, the grapevine can be destructive when
irrelevant or erroneous gossip and rumors proliferate and harm operations (Bateman, 2002).
Communication Planning Process
Communication planning with the proper investment of time, resources, and
collaboration becomes both a problem solving process and a learning process. Perhaps the
greatest payoff that comes from successful use of communication planning is the groundwork
that is laid for future cooperation within the project community.
The European Journal of Humanities and Social Sciences (2011) reported that
communications planning generally involves four phases. Within each phase, it is important
that the auto technology graduates will normally work through several tasks to accomplish
the specific objectives (fig 4). The four phases include the following:
- Assessment of need
- Formulate plan
- Implementation plan
- Feedback
Phase 1: Assessment
The assessment phase is a critical first step in determining the scope of
communications planning. The objectives of an assessment are to identify key
communications issues and which stakeholders will be affected and those that will play a
vital role in the project.
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Fig 4: Overview of Communications Planning.
Phase 2: Formulate Plan.
Once the assessment phase is concluded, the next task is to assimilate the findings
from the assessment and recommend a suitable course of action. There is no precise formula
for determining the right communication plan or whether it is likely to succeed or hit the
right Mark.
However, the European journal of Humanities and social sciences (2011) also has it
that, there are a number of key indicators that contribute to what may be considered best
practice to include:
- Keep the process simple
- Know your audience
- Maintain an overview of the vision
- Define clear roles and responsibilities.
- Set concise deliverables.
- Perform validations at appropriate intervals
- Use appropriate validation criteria
Stake holders
Visions and Goals
Evaluation feedback
Development and Implementation
Communication Planning
59
- Represent your vision by words and deeds.
Phase 3: Implementation
The moment an agreement is reached as to the content of the plan, the work of
implementation and monitoring begins. Although the process often creates a great deal of
good will, the progress can be wiped out by a lack of attention to detail following agreement
to implement plan. McManus et al, (2006) noted that during the implantation phase, the
project manager should support the actions of the implementers and ensure that all actions
are concluded in line with the agreed deliverables.
Communication Styles
People differ in the ways they choose to communicate with others we all know
individuals who rely on face-to-face discussions, and others who utilize e-mail and voicemail
almost exclusively. Developed by Drs. Joseph Luft and Henry Ingham (after whom it was
named), the Johari Window has received widespread use by management trainers as a device
for assessing and categorizing managers’ communication styles. As shown in figure 5, the
Johari window classifies an individual’s tendencies to facilitate or hinder interpersonal
communication along two dimensions: exposure and feedback. Exposure is the extent to
which an individual openly and candidly divulges feelings and information when trying to
communicate.
Feedback is the extent to which an individual successfully elicits exposure from
others. These two dimensions of communication as shown in figure 5, the arenas represent
information that is known to the manager and know to others. In the best of all words, all
communication would be in the arena. A manager would be open and candid in discussions
with others team members, and in turn those other members would be open and candid in
60
discussion with the manager. The more the information falls in arena, the effective the
communication. The second of the Johari window is the blindspot occur when a manager
does not communicate enough, does not listen well when communicating, or antagonizes
others so that they don’t provide the manager with feedback. Components of communication
become hidden when a manager fails (intentionally or unintentionally) to provide
information to others. Hidden information can cause problems, particularly if the manager
incorrectly assumes that event one already knows it. Finally, information may be unknown to
both the manager and others. This information is not internationally being held back, but it
nevertheless remains excommunicated (Stroh, 2002).
Fig. 5: Johari Window of Communication Styles.
Differences in the extent to which managers’ communication skills and abilities result
in arena, blindspot, Hidden, and unknown information give rise to four distinct
communication styles as follow:
Type A communicators are low in both exposure and feedback. Type A managers
would be characterized as uncommunicative, terse, and even aloof or impersonal. Type A
communication results in both hidden information and blind spots.
Type B Communicators are also low in exposure, but they are high in feedback. Type B
managers constantly seek out information, but they rarely provide information in exchange.
Known Unknown
Known to others
Unknown to others
Arena Blindspot
Hidden Unknown
Known
Un known
Low
High
Exposure
Known to staff Unknown to staff
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Type B communication results in hidden information. Mangers low in exposure (Type A or
Type B Communicators) basically don’t trust others with important information. Low-
exposure communication is particularly ineffective when paired with high feedback because
it results in continual requests for information.
Type C communicators are high in exposure but low in feedback. Type C managers are
typically perceived as being auto critic arrogant. They provide lots of information but rarely
request the opinions of others. They are likely to be perceived as not valuing other’s opinions
and perspectives. Type C communication tends to create blindspots.
Type D Communicators are high on both exposure and feedback most of their
information is arena, information, and they tend to communicate effectively (Stroh, et al,
2002).
The communication in organization is so important that it is said, the first and most
important task of managers that they have to expand communications system in the
organizations. Necessary information should be considered before a decision must be taken.
Communication is considered as the blood vessel that brings life flows and lack of
information cause will be disorder of the heart. Therefore without effective communication
tasks of survival in any organization and it will not be possible.
The context of this study investigated all aspects and points to effective
communication in the organization, it gain in conclusion that channels of communication is
one of the most effective way in a relationship, and qualified auto technology students to
pass over all stages of communication skills to meets their performance standard within a
specified plans in their organization.
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Fig. 6: Isuwa, 2015 Schema of Entrepreneurial Skills Possessed by Auto Technology Self
Employed Graduates.
The researcher presented the conceptual framework of the study which is however,
broadly divided into five areas such as: technical skills, managerial skills, financial skills,
marketing skills and community skills. The schema indicated that, the teacher acquires the
skills of the five aspects of business enterprises and effectively orients those skills to the
students. These lead to the students’ effective acquisition of skills by the students positively
affects their wellbeing as individuals in their families in particular and the nation at large,
thus addressing the nation’s sustainable development positively. These aspects of branches
call for many career opportunities in automotive technology as diagnosing, maintaining,
Technical Skills
Financial management
Skills
Marketing Skills
Communication Skills
Graduates of Auto Technology
Employment Opportunities
Auto Technology
Entrepreneurial skills possessed by graduates
Managerial Skills
63
repairing among others. All these recommend business enterprises as a vital tool for
entrepreneurship. It is primarily concerned with assisting the individual to be useful and as
well as improving his/herself in the business world which will in turn lead to the
improvement of the society at large. All these depend on how effective auto technology.
Curriculum is implemented by the auto technology teachers. The relevance of Business
enterprises as a vital tool for entrepreneurship is the focus of this schema with reference to
entrepreneurial skills as a branch of business enterprises.
Theoretical Framework
Leadership Path-Goal Theory
House and Mitchell propounded the path-goal theory which they referred to as
leadership path-goal theory in 1977 which state that “the leader (entrepreneur) should make
desired rewards available (goal) and clarify for the workforce the kinds of behaviour that will
lead to the reward (path)”. Fig 3 displays the key concepts of path-goal theory and illustrates
the relationship between one another.
Characteristics of Group Members
Leadership Style Directive Supportive Participative Achievement-Oriented
Outcomes Productivity Morale
(Contingency Factors)
(Contingency Factors)
Demand of the Task
Fig. 3: Leadership Path-Goal Theory
(Source: House and Mitchell, 1977)
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As the originators of the path-goal theory, House and Mitchell further emphasized the
relationship between styles is one of the important factors that affects organizational
effectiveness. Thus, a specific relationship between the style of leadership and operating
aspect of entrepreneurship will substantially influence its level of effectiveness.
The Leadership Path-Goal Theory proposes four types of leader behaviours as follow:
• Directive Leadership: Characterized by a leader (entrepreneur) who explicates
expectations and provides specific guidance to the employees.
• Supportive Leadership: Characterized by a leader (Entrepreneur) who is
friendly and approachable, and mostly, concerns about the status, well-being, and
personal needs of the employees.
• Participative Leadership: Characterized by a leadership who consults
subordinates (workforce) for asks for their suggestions before making any final
decision.
• Achievement – Oriented Leadership: Characterized by leader (entrepreneur)
who sets challenging goals, prompt followers (workforce) to endeavor, and shows
confidence in their abilities to fill the task.
To achieve the outcomes of productivity and morale, one of the above four leadership styles
will be chosen depending on the characteristics of the situation and the demands of task.
Therefore, the theory is relevant to this study because it is directed on the leadership style
that the students will adapt as they engaged on entrepreneurship after graduation from the
college.
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Socio-Cultural Theory
The Socio cultural theory has a historic view about the act of learning. Williams and
Burden (1997) claim that the theory opposes the idea of the discrete teaching of skills and
argues that meaning should constitute the central aspect of any unit of study. Any unit of
study should be presented in all its complexity rather than skills and knowledge presented in
isolation. The theory emphasizes the importance of what the learner brings to any learning
situation as an active meaning-maker and problem-solver. It acknowledges the dynamic
nature of the interplay between teachers, learners and tasks and provides a view of learning
as arising from interactions with others. Socio cultural theory assumes that learning arises not
through interaction but in interaction.
Learners first succeed in performing a new task with the help of another person and
then internalize this task so that they can perform it on their own. In this way, social
interaction is advocated to mediate learning. The theory goes further to say interactions that
successfully mediate learning area those in which the learners scaffold the new task.
Scaffolding is a concept that derives from cognitive psychology and research. It states
that in a social interaction, a knowledgeable participant can create by means of speech and
supportive conditions in which the student (novice) can participate in and extend current
skills and knowledge to a high level of competence. The theory is relevant to this study
because, entrepreneurial skills in an education context, however, scaffolding provides
assistance as an instructional structure whereby the teacher models the desired learning
strategy or task then gradually shifts responsibility to the graduates.
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Model of Economic Development
A. Schumpeter (1947) has given a model of economic development. According to
Schumpeter, entrepreneurs renew the economic activities by introducing new ideas, new
processes, new products and services for the development of an economy. Schumpeter
defines entrepreneur as someone who establishes a new business to produce a new product or
to make an old product in a new way. In his work, the entrepreneur takes the center stage of
socioeconomic development. He takes the role of socioeconomic leader since he has the
ability to decide, to direct, to push matters through. The Schumpeterian entrepreneur differs
from imitators in applying new methods of production on the market, in opening up new
markets. This creative ability differences gives entrepreneur a chance of accumulation of a
surplus but this eroded as imitators appear in the market using same methods. Thus, the
temporary monopoly profits made by the entrepreneur shows the dynamics of the capitalist
system and also show that each cycle of innovations by entrepreneurs is the main cause of
business cycles. He sharply differentiates himself from Marshallian-Neoclassical theories of
economic development and growth. While, in the Marshallian analysis, small contributions
from a very large number of modest entrepreneurs lead to economic progress, Schumpeter’s
entrepreneur plays the role of a revolutionary in creation of new production functions and
methods. Thus, entrepreneurs create disequilibrium and this creative destruction is possible
only under capitalistic system. In contrast to Marshall, Schumpeter’s analysis progress does
depend on the “great man” and as an innovator, economic and social leader the entrepreneur
by definition is a monopolist. Therefore, this model is based upon experimental psychology
but identifies sociological variables as the determinants of entrepreneurial growth.
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Related Empirical Studies
The need for the review of the empirical studies to this present study cannot be over
stressed. The literature on skill required in entrepreneurship in auto mechanics technology
appears to be scanty despite the relative importance of this aspect to automobile trade.
Anele (1997) carried out a study to identify entrepreneurial competencies needed by
technical college students for self employment. The study was a survey type that covered five
eastern states, which include; Abia, Anambra, Enugu, Ebonyi and Imo. Entrepreneurial
Competencies Questionnaire (ECQ) was used for data collection. The population comprised
514 entrepreneurs in technical occupations, and 388 technical teachers in the state covered by
the study. No sampling was carried out. Mean scores, t-test and analysis of variance
(ANOVA) were used for data analysis. The findings revealed 90 entrepreneurial
competencies needed by technical college students for self-employment. Factors that could
enhance teaching and learning entrepreneurial competencies were also identified. It was
recommended that entrepreneurial competencies identified be incorporated into the technical
college programme so that they can be used to prepare students for self-employment on
graduates. However, the present study differs from the previous study because the study
focuses on entrepreneurial skills posses by auto technology self employed graduates in
Nasarawa State, while the previous study focuses on entrepreneurial competencies needed by
technical college students for self-employment in five states which include; Abia, Anambra,
Enugu, Ebonyi and Imo.
Olaintan and Ede (2009) carried out a study to determine the technical skills
improvement needs of the informally trained auto mechanics in maintaining modern
automobiles. Three research questions were formulated to guide the study. Structured
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questionnaire was used for data collection which was duly validated by experts. The
population for study comprised by 302 registered auto mechanics in the state and purposive
complying techniques was used to select to experienced and 60 less experienced auto-
mechanics from twelve semi urban and urban town in the three senatorial district of the state.
Cronbach Alpha was used to establish the reliability of the instrument. The data collected
were analyzed using the mean and standard deviations for the research questions and the t-
test for hypotheses. The result of the hypothesis showed that the respondents do not differ
significantly in their responses. The findings of the study revealed that the auto mechanics do
not possess the requisite technical skills needed for maintaining modern automobile and
consequently call for skill improvement. The previous study differ from the present study
because the study focuses on the technical skills improvement needs of the informally trained
auto mechanical in maintaining modern automobiles, while the present study focuses on
entrepreneurial skills possessed by auto technology self employed graduates in Nasarawa
state.
Stasz (2001) conducted a study on skills acquisition for improvement of maintenance
needed by automobile technicians in the automobile trade. Four research questions were
developing. The research method, with a population of 79 automobile technicians trained
through the formal vocational institutions and 81 auto mechanics trained through
apprenticeship system drawn from 23 automobile workshops. Instrument for data collection
were face validated by three experts. Cronbach alpha method was used to determine
reliability coefficient of the instrument and 0.81 was obtained. The data collected for the
study was analysis using the mean and one way analysis of variance (ANOVA) and
correlation coefficient. The result of the study revealed that changes in workplace and
69
procedure as a result of technological innovations raises many concerns about the adequacy
of workers skills in that country Stasz carried out his study in far away Tongo (A Country in
the south pacific Ocean). Similarly, the study seek to determine the skills improvement needs
a Nigeria automobile technician will possessed to maintain modern automobiles which
influence the country on a daily basis. However, the previous study was on skill acquisition
for improvement of maintenance needed by automobile technicians in the automobile trades
while the presented study is on entrepreneurial skills possessed by auto technology self
employed graduates in Nasarawa State.
Dangana (2006), carried out a study which examine the technical skills improvement
needs of auto electronic technicians for the maintenance of modern day automobile in
Nigeria State. A survey design was adopted in the study which was carried out in the 25 local
government areas of Niger State. The population consists of 63 auto electronic technical
who received their training through formal education system and 176 who receive theirs
through the informal system, making a total of 239 auto-electronic technicians. A
questionnaire containing 134 items on the technical skills improvement needs of auto
electronic technicians for the maintenance of modern day automobiles was developed and
used for the data collection.
The questionnaire was structured in a five-point liker scale, ranging from Strongly
Agree (SA) to Strongly Disagree (SD), with a mean score of 3.00 as a cutoff point. In
analyzing the data, mean and standard deviation were used to determine the technical skills
improvement needed by auto-electronic technicians as well as the degree of disagreement on
retraining strategies that could be adapted to enhanced professional competences. The t-test
was used to test the null hypotheses at 0.05 level of significance. Findings revealed 10 major
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skills in the electronically principles, 8 practical skills, 11 skills in the knowledge of basic
functions of tools and equipment, 8 safety skills and 3 retraining strategies perceived to be
possessed by the Automotive technicians in order to improve their maintenance skills on
modern day automobile. The two studies are related because their methodologies are the
same. Although the two studies differ because the previous study is on skills improvement
needs of auto electronic technicians while the present study is on skills possessed by auto
technology self employed graduates.
Agbogidi (2007), carried out a research on skills requirement. The purpose was to
identify the entrepreneurial skills required for establishing small and medium scale enterprise
in Delta State with four research questions to determine the required skills for establishing
SMEs. A survey research design was used with a population of 59 respondents was also used
for the study. No sampling was carried out since the number of the respondents was small: a
structured questionnaire was used for data collection. The two studies is related because, they
centered on entrepreneurship practices. The two studies are related because the focus on
entrepreneurial practice skills need for enterprise. However, the two study differ because the
previous study was on entrepreneurial skills required for small and medium scale enterprise
while the present study is on enterprise while the present study is on entrepreneurial skill
possessed by auto-technology self employed graduates.
Anyakoha (1994) cited in Alio (2006) conducted a study on enhancing the
entrepreneurial skills of operators of Home Economic related business and its implication for
entrepreneurship education. The sample of the study consisted of 200 entrepreneurs in
Home Economics in Enugu State. Questionnaire was the instrument used for data collection.
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The data collected was analyzed using mean statistics. The following findings were
made from the research.
� Some entrepreneurial skills were needed by operators of Home Economics related
enterprise.
� The entrepreneurial skill needed included knowledge of factors involved in overhead
control knowledge of inventory control, and turn-over ability manage time and meet
job schedules, acquisition of management and supervisory skills, knowledge of
importance and of job demands at home and family life, maintenance of appropriate
open channels of communication.
The following recommendations based on the findings of the study were made
• That entrepreneurship education should be made part of the Home
Economics Education of various levels of education, since graduates from
programmes often strive for self employment and self reliance.
• That Entrepreneurship education should be encouraged through mass
media.
The two studies are related because they centered on entrepreneurial practice skills.
Although the two studies differ because the previous study was on enhancing the
entrepreneurial skills of operators of Home Economic related business while the present
study is on Entrepreneurial skills possessed by auto technology self employed graduates.
Summary of Review of Related Literature
The related literature was reviewed on concept of entrepreneurship, concept of
technical college, auto technology, concept of skills, entrepreneurial skills required for small
and medium scale enterprises. The review of culture related to this study however, reveals
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that small and medium scale enterprises have made a traveled contribution in the area of
employment, income generation, training and provision of social well being of the people
that government somehow neglected to provide. The small and medium scale enterprises in
auto technology is beset with several problems, most of which revolved around lack of
capital for growth and poor skills requirement to meet up with technological advancement in
the trade.
The review also has it that most technical college graduates do not have the
knowledge and skills that will enable them to take up available job or be self-reliance. Some
of these deficiencies attributing to the failure of the graduates in establishing and sustaining
their enterprises are in the area of managerial, financial marketing, communication and
technical skills. The study also revealed that auto technology’s efficient operations in their
workshops or organizations are hampered as a result of poor level of skills they attained
during their initial training.
From the literature reviewed no study was conducted on the entrepreneurial skills
possessed by auto technology self employed graduates in Nasarawa State. This is the gap the
study is set to fill.
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CHAPTER THREE
METHODOLOGY
This chapter presents the procedure to be adopted for the study under the following
sub-headings: design of the study, area of the study, population for the study, instrument for
data collection, validation of the instrument, reliability of the instrument, method of data
collection and method of data analysis.
Design of the Study
The study was conducted using survey research design. Descriptive research design,
according to Olaitan and Nwoke (1999), is one which the entire population or representative
sample is studied by collecting and analyzing data from the group through the use of
questionnaire. Similarly, Nworgu (2006) defined survey research design as that design that
centers on people, their beliefs, opinion, attitudes and behaviour. Descriptive survey design is
suitable for the study since information will be solicited from the respondents (auto
technology entrepreneurial) and (auto technology employees) on the entrepreneurial skills
possessed by auto technology self employed graduates in the three senatorial zones in
Nasarawa State.
Area of the study
The study was conducted in Nasarawa state of Nigeria. The state is made up of three
senatorial zones namely: Northern, Southern and Western senatorial zones respectively. In
each of these zones, there are relatively few auto technology entrepreneurs who provide
maintenance service and repairs for automobile users in the state.
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Nasarawa state as the area of study was chosen because of its cosmopolitan nature
and location especially with the Federal Capital Territory (FCT) Abuja, which enhances
entrepreneurial activities and the number of vehicles playing the roads. Because of this
characteristic of the state, there is the need for a wide spread of well-trained technical
personnel especially the graduates of auto technology to take up entrepreneurship for
maintenance service and repairs of automobile in the state.
Population for the Study
The population for the study comprised of 110 respondents. This is made up of 30
entrepreneurs and 80 employees drown from 30 registered self employed graduates of auto
technology in the three senatorial zones of Nasarawa State. The population is based on
information collected from Nasarawa state ministry of commerce and industries 2012 (see
Appendix E) for distribution in page 146. The choice of auto technology entrepreneurs and
auto technology employees is based on the fact that students are not knowledgeable about the
skills possessed in auto technology. Hence, the absence of sampling is as a result of size of
the population.
Instrument for Data Collection
The instrument for data collection was a structured questionnaire on Entrepreneurial
Skills possessed by Auto Technology Self Employed Graduates (ESPATSEG). The
questionnaire was developed by the researcher from the available literature on Automotive
Technology and Entrepreneurial skills possessed by Auto Technology self employed
graduates. The questionnaire is divided into six (6) sections (A-F), Section ‘A’ will solicit
information on personal data of the respondents, while section ‘B’ will request information
on technical skills possessed by auto technology graduates for maintenance and repairs of
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automobiles. ‘C’ will seek information on managerial skills possessed by Auto Technology
Self employed graduates for their entrepreneurial development. Thus, section ‘D’ has –items
that deals with the financial skills possessed by Auto Technology self employed graduates
for entrepreneurial development. Section ‘E’ comprised items designed to find out the
marketing skills possessed by Auto Technology self employed graduates for entrepreneurial
development. Section ‘F’ contained items designed to find out communication skills
possessed by Auto Technology self employed graduates for entrepreneurial development.
The response options to the items were base on a five-point rating scale, with numerical
values as follows:
Very Highly Possessed (VHP) = 5
Highly Possessed (HP) = 4
Possessed (P) = 3
Slightly Possessed (SP) = 2
Not Possessed (NP) = 1
Validation of the Instrument
The instrument was subjected to face-validation by three experts. Three of them are
from the Department of Vocational Teacher Education, University of Nigeria, Nsukka. The
experts were requested to assess the items of the instrument in terms of clarity and
appropriateness in addressing the problem of the study and research questions under
investigation. Their corrections, suggestions and recommendations were incorporated in the
final draft of the instrument.
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Reliability of the Instrument
The Cronbach Alpha coefficient method was used to determine the internal consistency of the
instrument. Fifteen (15) copies of the questionnaire was trial tested on five auto technology
entrepreneurs and (10) auto technology employee in Plateau State. An overall reliability of 0.984
which consist 0.911 for section A, 0.976 for section B, 0.954 for section C, 0.973 for section D, and
0.971 for section E. The instrument is highly reliable.
Method of Data Collection
The researcher administered the instrument on the auto technology entrepreneurs and
auto technology employees through personal contact and with the help of three research
assistance. The research assistants were given instruction on how to administer the
questionnaire on the respondents while the researcher supervised the RAs and coordinated
the administration of the instrument. The copies of the questionnaire were collected a few
days later by the research assistants. Through personal administration of the instrument, a
hundred, present return rate was achieved.
Method of Data Analysis
Data collected from the respondents were analyzed using mean to answer research
questions. For decision, items with mean of 3.50 and above were considered as having high
means, which indicate that graduates should possess skills for self-employment. Any item
with mean rating less than 3.50 was considered as low and that the graduates do not possess
skill for self employment. The five hypotheses stated, were tested using t-test at 0.05 level of
significance. Any item whose its t-cal less than t-table was accepted but any item that its t-cal
greater than t-table was rejected. All computation was done using the statistical package for
social science (SPSS), Version 16.
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CHAPTER FOUR
PRESENTATION AND ANALYSIS OF DATA
This chapter presents the analysis of data collected in the course of the study. The
presentation and analysis is organized in tables and is arranged according to research
questions and hypothesis formulated for the study.
Research Question 1
What are the technical skills possessed by auto technology self employed graduates for
entrepreneurial ventures?
Table 1
Mean and standard deviation of responses of Auto technology entrepreneurs and Auto
technology employees on the Technical Skills Possessed by Auto Technology Self Employed
Graduates. N=109
S/N Technical Skills Possessed by Auto Technology Self Employed Graduates MEAN SD Decision
(a) Engine System: 1 Identify and interpret engine concern.
3.9908 1.04965 HP
2 Research applicable vehicle and service information on internal engine operation. 3.5780 1.03900
HP
3 Inspect engine assembly for fuel and oil leaks. 3.5596 1.10077
HP
4 Diagnose engine noises and vibrations. 3.5138 1.11068
HP
5 Perform engine vacuum test. 3.3486 1.14161
AP
6 Perform cylinder power balance test. 3.3853 1.10477
AP
7 Perform cylinder cranking and running compression test. 3.3394 1.26359
AP
8 Install engine covers using gaskets, seals and sealers as required. 3.6330 1.05111
HP
9 Perform common fastener and thread repair on the broken bolt, internal and
external threads. 3.3486 1.10030
AP
10 Inspect, remove and replace engine mounts. 3.5046 1.13549
HP
11 Replace valve stem seals on an assembled engine. 3.5648 1.10456
HP
12 Disassemble engine block; clean and prepare components for inspection and
reasonably. 3.5963 1.05514
HP
(b) Electrical System 13 Identify and interpret electrical/electronic system concern.
3.6789 1.02633 HP
14 Check electrical/electronic circuit wave forms. 3.4722 1.04531
AP
15 Determine repairs for electrical/electronic circuit wave forms. 3.6330 1.01526
HP
16 Perform battery state-of-charge test. 3.6019 .98531
HP
17 Confirm proper battery capacity for vehicle application. 3.6514 1.04860
HP
(c) Braking System 18 Identify and interpret brake system concern.
3.7156 1.10631 HP
19 Enforce pressure concerns in the brake system using hydraulic principles. 3.4587 1.16692
AP
20 Describe the operation of a regenerative braking system. 3.9505 1.05239
HP
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21 Check master cylinder for internal/external leaks. 3.8611 .99961
HP
22 Check brake pad wear indicator system operation 3.8224 1.04442
HP
(d) Transmission System 23 Identify and interpret drive train concern.
3.5185 1.05442 HP
24 Drain and fill manual transmission/transaxle and final drive unit. 3.4167 1.00582
AP
25 Remove and reinstall transmission/transaxle. 3.4444 1.05311
AP
26 Remove and replace transaxle final drive. 3.5278 1.12290
HP
27 Remove and replace drive axle shafts. 3.6019 1.10174
HP
(e) Suspension and Steering System 28 Identify and interpret suspension and steering system concern.
3.5833 1.09481 HP
29 Disable and enable supplemental restrain system (SRS). 3.4167 1.07760
AP
30 Adjust non-rack and pinion worm bearing preload and sector lash. 3.4444 1.06194
AP
31 Remove and replace shock absorbers. 3.5701 1.09124
HP
(f) Fuel and Ignition System 32 Perform test on ignition primary and secondary circuit wiring and solid state
components. 3.5888 1.02748
HP
33 Inspect and test fuel pump control systems for pressure regulation, and volume. 3.4815 1.06325
AP
34 Check fuel for contaminants and quality. 3.4444 1.04419
AP
35 Inspect and test fuel injectors. 3.4722 1.11455
AP
36 Inspect engine assembly for fuel and oil leaks. 3.4352 1.18616
AP
KEY: HP= Highly Possessed; AP= Averagely Possessed
The data in table 1 shows that items 1-4, 8, 10-13, 15-18, 20-23, 26-28, 31 and 32 have their
means above 3.50, and are regarded as Highly Possessed. While items 5-7, 9, 14, 19, 24, 25,
30 and 33-36 have their means to fall within 2.50 and 3.49, and are regarded as Averagely
Possessed.
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Research Question 2
What are the managerial skills possessed by auto technology self employed graduates for
entrepreneurial ventures?
Table 2
Mean and standard deviation of responses of Auto technology entrepreneurs and Auto
technology employees on the Managerial Skills Possessed by Auto Technology Self
Employed Graduates
SN Managerial Skills Possessed by Auto Technology Self Employed Graduates Mean SD Decision 37 Acquire management and supervisory skills
3.6606 1.22641 HP
38 Organize the planning process 3.3945 1.14680
AP
39 Develop detailed project schedules, including task, accountabilities and deadlines 3.2569 1.16590
AP
40 Anticipate problems that may impede work. 3.2222 1.11350
AP
41 Communicate changes and progress within the organization. 3.2477 1.23345
AP
42 Predict future development from own experience without analysis. 3.2294 1.25191
AP
43 Identify the component part of a situation or problem. 3.1376 1.30857
AP
44 Creative ability to search and find new solution to problem. 3.2018 1.26769
AP
45 Recognizes the potential consequences or implications of action, or ideas. 3.1193 1.28902
AP
46 Use graphic illustrations to capture interrelationships and connections. 3.0183 1.19398
AP
47 Reformulates or restates the problem, take a look at it from different angle. 3.2661 1.29559
AP
48 Applies appropriate frameworks, principles, and modules to solve problem. 3.3119 1.19952
AP
49 Manage time and meet job schedules. 3.2385 1.18555
AP
50 Conduct personal evaluation. 3.2430 1.28004
AP
51 Identify the knowledge of the need for employee growth and development. 3.2661 1.22204
AP
52 Identify the factors involved in overhead control 3.1284 1.29172
AP
KEY: HP= Highly Possessed; AP= Averagely Possessed
The data in table 2 shows that item 37 has its mean as 3.6606 which is above 3.50, and is
regarded as Highly Possessed. While items 38-52 have their means to fall within 2.50 and
3.49, and are regarded as Averagely Possessed.
80
Research Question 3
What are the financial skills possessed by auto technology self employed graduates for
entrepreneurial ventures?
Table 3
Mean and standard deviation of responses of Auto technology entrepreneurs and Auto
technology employees on the financial skills Possessed by Auto Technology Self Employed
Graduates
SN Financial Skills Possessed by Auto Technology Self Employed Graduates Mean SD Decision
53 Identify options available for managing cask and liquid assets. 3.7103 1.19756
HP
54 Describe the characteristics and services of financial institutions. 3.5888 1.02748
HP
55 Identify major economic system in the global economy. 3.1308 1.28183
AP
56 Identify investment opportunities. 3.1963 1.33487
AP
57 Explain basic tax concepts and effective tax maximization strategies. 3.1402 1.26229
AP
58 Demonstrate accountability of responsible use of company resources. 3.1215 1.26424
AP
59 Identify major types of employee benefits. 3.3645 1.41016
AP
60 Explain the basic financial markets and investment options. 3.0280 1.26981
AP
61 Explain the contingency planning, including retirement and estate planning. 3.0280 1.29919
AP
62 Compute various financial transactions. 3.0935 1.32133
AP
63 Compare and evaluate consumer credit. 2.9533 1.34854
AP
KEY: HP= Highly Possessed; AP= Averagely Possessed
The data in table 3 shows that items 53 and 54 had their means as 3.7103 and 3.5888
respectively which fell within the 3.50 and 4.49 range, and are regarded as Highly Possessed.
While items 55-63 have their means to fall within 2.50 and 3.49 range, and are regarded as
Averagely Possessed.
81
Research Question 4 What are the marketing skills possessed by auto technology self employed graduates for
entrepreneurial ventures?
Table 4
Mean and standard deviation of responses of Auto technology entrepreneurs and Auto
technology employees on the marketing skills Possessed by Auto Technology Self Employed
Graduates.
SN Marketing Skills Possessed by Auto Technology Self Employed Graduates Mean SD Decision 64 The desire to write market and marketing plan
3.5185 1.17991 HP
65 Conduct a competitive analysis. 3.3241 1.12598
AP
66 Design a management information system. 3.1481 1.16663
AP
67 Develop insights concerning individual and group buying behaviors. 3.1574 1.20871
AP
68 Adapt to business practices and protocol. 3.1667 1.33606
AP
69 Analyze market shares. 3.0000 1.31752
AP
70 Assess market legal environment implications. 3.0093 1.30670
AP
71 Analyze import/export Government regulations. 3.0185 1.33942
AP
72 Analyze human resource task and design that appropriate organization structure. 2.9815 1.23031
AP
73 Satisfy different segments of the market 2.9630 1.32500
AP
74 Evaluate the effectiveness of your marketing activities. 3.2037 1.28077
AP
75 Set overall pricing for markets. 2.9630 1.33903
AP
76 Forecast profits and revenue related to markets. 2.9537 1.31408
AP
77 Use appropriate trade financing programs. 3.1028 1.41378
AP
78 Assess the suitability of products to the markets to devise branding strategies. 2.9537 1.36296
AP
79 Use appropriate market entry alternatives. 3.0648 1.27721
AP
80 Appropriate selections, recruit, compensation, and manage sales force. 3.0370 1.33903
AP
81 Balance between distribution efficiency and distribution effectiveness. 3.1667 1.30778
AP
82 Select appropriate advertising agency. 3.2593 1.27059
AP
83 Select the appropriate distribution channel. 3.0841 1.36756
AP
84 Use different pricing strategies peculiar to different customers. 3.0463 1.26332
AP
KEY: HP= Highly Possessed; AP= Averagely Possessed
The data in table 4 shows that item 64 has its mean as 3.5185 which is above 3.50, and is
regarded as Highly Possessed. While items 65-84 have their means to fall within 2.50 and
3.49, and are regarded as Averagely Possessed.
82
Research Question 5
What are the communication skills possessed by auto technology self employed graduates for
entrepreneurial ventures?
Table 5
Mean and standard deviation of responses of Auto technology entrepreneurs and Auto
technology employees on the Communication skills Possessed by Auto Technology Self
Employed Graduates
SN Communication Skills Possessed by Auto Technology Self Employed Graduates Mean SD Decision 85 Initiating Open discussion
3.5833 1.16109 HP
86 Listen openly to the other person. 3.3796 1.19749
AP
87 Remove distractions. 3.2685 1.19662
AP
88 Be receptive to the other person. 3.2130 1.29738
AP
89 Resolving conflict. 3.1308 1.24449
AP
90 Maintaining an open posture, appropriate/comfortable eye-contact, learning
slightly forward. 2.9167 1.26140
AP
91 Delay evaluation on the information received what you have heard until. 2.8426 1.27640
AP
92 Avoid defensive step. 2.9537 1.43640
AP
93 Relax as any tension or impatience is likely to transmit via-verbal leakage 2.9074 1.32225
AP
94 Using information technology. 2.9815 1.34638
AP
95 Write business correspondence. 2.9444 1.39313
AP
96 Making convincing presentations. 3.0000 1.38078
AP
97 Response through owner’s facial expression or body gestures. 3.0463 1.35608
AP
98 Ask the other person for as much detail. Related to business practices. 3.0463 1.30695
AP
99 Develop the ability to recognize and deal with barriers that prevents listening with
full attention. 3.0000 1.26047
AP
100 Develop and use behaviours that help in listening. 2.7222 1.34535
AP
KEY: HP= Highly Possessed; AP= Averagely Possessed
The data in table 5 shows that item 85 has its mean as 3.5833 which is above 3.50, and is
regarded as Highly Possessed. While items 86-100 have their means to fall within 2.50 and
3.49, and are regarded as Averagely Possessed.
83
Hypothesis 1
There is no significant difference in the mean responses of auto technology entrepreneurs and
auto technology employees on the technical skills possessed by auto technology self
employed graduates for entrepreneurial ventures
Table 6
SN Technical Skills Possessed by Auto
Technology Self Employed Graduates
X1
n1= 30 SD1 X2
n2 = 79 SD2 df T-cal Sig.(2-
tailed Decision
(a) Engine System: 1 Identify and interpret engine concern.
4.2667 .78492 3.8861 1.11422 107 1.706 .091 NS
2 Research applicable vehicle and service
information on internal engine operation. 3.7333 1.01483 3.5190 1.12437 107 .962 .338
NS
3 Inspect engine assembly for fuel and oil leaks. 3.7000 1.02217 3.5063 1.17034 107 .819 .415
NS
4 Diagnose engine noises and vibrations. 3.8667 1.04166 3.3797 1.12854 107 2.075 .040
S
5 Perform engine vacuum test. 3.7333 1.08066 3.2025 1.06049 107 2.207 .029
S
6 Perform cylinder power balance test. 3.6667 .99424 3.2785 1.21644 107 1.651 .102
NS
7 Perform cylinder cranking and running
compression test. 3.5333 1.38298 3.2658 1.13156 107 .987 .326
NS
8 Install engine covers using gaskets, seals and
sealers as required. 4.0333 .92786 3.4810 1.13657 107 2.510 .014
S
9 Perform common fastener and thread repair on
the broken bolt, internal and external threads. 3.7000 .95231 3.2152 1.11291 107 2.086 .039
S
10 Inspect, remove and replace engine mounts. 3.8000 .99655 3.3924 1.13084 107 1.688 .094
NS
11 Replace valve stem seals on an assembled
engine. 4.0690 .88362 3.3797 1.04833 106 2.978 .004
S
12 Disassemble engine block; clean and prepare
components for inspection and reasonably. 3.5667 .89763 3.6076 1.12075 107 -.180 .857
NS
(b) Electrical System 13 Identify and interpret electrical/electronic
system concern. 3.9000 .99481 3.6203 1.03179 107 1.392 .167
NS
14 Check electrical/electronic circuit wave forms. 3.5862 1.08619 3.4231 1.03383 106 .685 .495
NS
15 Determine repairs for electrical/electronic
circuit wave forms. 4.0000 .87099 3.4937 1.03618 107 2.375 .019
S
16 Perform battery state-of-charge test. 4.0667 .90719 3.4304 .96051 106 3.166 .002
S
17 Confirm proper battery capacity for vehicle
application. 3.7333 .94443 3.5949 1.08962 107 .501 .617
NS
(c) Braking System 18 Identify and interpret brake system concern.
3.7692 .95231 3.7692 3.6667 107 -.090 .928 NS
19 Enforce pressure concerns in the brake system
using hydraulic principles. 3.8718 1.06997 3.8718 3.5333 107 .778 .439
NS
20 Describe the operation of a regenerative
braking system. 4.0000 1.33119 4.0000 3.6000 99 -.781 .437
NS
21 Check master cylinder for internal/external
leaks. 3.4051 .94989 3.4051 3.6667 106 -.178 .859
NS
84
22 Check brake pad wear indicator system
operation 3.7215 1.11748 3.7215 3.7667 105 .863 .390
NS
(d) Transmission System 23 Identify and interpret drive train concern.
3.6667 .71116 3.5385 1.13609 106 .905 .368 NS
24 Drain and fill manual transmission/transaxle
and final drive unit. 3.5333 1.10589 3.4744 1.15909 106 .746 .457
NS
25 Remove and reinstall transmission/transaxle. 3.6000 1.16264 3.3846 1.00945 106 .952 .343
NS
26 Remove and replace transaxle final drive. 3.6667 1.02833 3.3718 .96845 106 .796 .428
NS
27 Remove and replace drive axle shafts. 3.7667 1.00630 3.4615 1.15873 106 .964 .337
NS
(e) Suspension and Steering System 28 Identify and interpret suspension and steering
system concern. 3.9000 .95953 3.3846 1.08389 106 1.886 .062
NS
29 Disable and enable supplemental restrain
system (SRS). 3.6667 .84418 3.3462 1.07904 106 1.504 .136
NS
30 Adjust non-rack and pinion worm bearing
preload and sector lash. 3.7000 .98786 3.3205 1.14522 105 1.561 .121
NS
31 Remove and replace shock absorbers. 4.0690 .96106 3.4615 1.12460 105 2.989 .003
S
(f) Fuel and Ignition System 32 Perform test on ignition primary and
secondary circuit wiring and solid state
components.
3.8276 .92848 3.1795 1.20328 105 1.474 .143 NS
33 Inspect and test fuel pump control systems for
pressure regulation, and volume. 3.5000 1.00858 3.2308 1.09216 106 .112 .911
NS
34 Check fuel for contaminants and quality. 3.7000 .98786 3.3462 1.05470 106 1.589 .115
NS
35 Inspect and test fuel injectors. 4.1000 .92289 3.4744 1.08979 106 3.859 .000
S
36 Inspect engine assembly for fuel and oil leaks. 4.1000 .84486 3.5000 1.05375 106 3.837 .000
S
Key: NS= Not Significant; S= Significant; df= Degree of freedom; t cal= calculated values of t-test SPSS; SD1= Standard Deviation of Auto Technology Entrepreneurs SD2 Standard Deviation of Auto Technology Employees; X1= Mean of Auto Technology Entrepreneurs; X2= Mean of Auto Technology Employees; n1= Number of Auto Technology Entrepreneurs; n2= Number of Auto Technology Entrepreneurs; Level of Significance= 0.05
Table 6 revealed that items 1, 2, 3, 6, 7, 10, 12-14, 17-30, and 32-34 have their
calculated probability (Sig. 2 tailed) values to be greater than 0.05 showing that there is no
significant difference in the mean responses of auto technology entrepreneurs and auto
technology employees on the technical skills possessed by auto technology self employed
graduates for entrepreneurial ventures. However, items 4, 5, 8, 9, 11, 15, 16, 31, 35 and 36
have their calculated probability (Sig. 2 tailed) values to be less than 0.05 showing that there
is significant difference in the mean responses of auto technology entrepreneurs and auto
technology employees on the technical skills possessed by auto technology self employed
graduates for entrepreneurial ventures for these items.
85
Hypothesis 2
There is no significant difference in the mean responses of auto technology entrepreneurs and
auto technology employees on the managerial skills possessed by auto technology self
employed graduates for entrepreneurial ventures
Table 7
SN Managerial Skills Possessed by Auto Technology Self Employed Graduates
X1
n1 = 30 SD1 X2
n2= 79 SD2 df T-cal Sig.(2-
tailed Decision
37 Acquire management and supervisory skills 3.6333 1.21721 2.9873 1.34444 107 -.142 .887
NS
38 Organize the planning process 3.3667 1.32570 3.2278 1.29049 107 -.155 .877
NS
39 Develop detailed project schedules, including
task, accountabilities and deadlines 3.2333 1.19434 3.0633 1.26432 105 -.129 .897
NS
40 Anticipate problems that may impede work. 3.1034 1.20549 3.1772 1.20639 107 -.670 .504
NS
41 Communicate changes and progress within the
organization. 3.3000 1.39333 3.3165 1.21470 107 .272 .786
NS
42 Predict future development from own
experience without analysis. 3.1333 1.43198 3.1392 1.28835 107 -.492 .624
NS
43 Identify the component part of a situation or
problem. 3.3333 1.49328 2.9747 1.18727 107 .962 .338
NS
44 Creative ability to search and find new
solution to problem. 3.1000 1.26899 2.9873 1.25569 107 -.515 .608
NS
45 Recognizes the potential consequences or
implications of action, or ideas. 3.4667 1.33218 3.2405 1.27315 107 1.750 .083
NS
46 Use graphic illustrations to capture
interrelationships and connections. 3.1333 1.22428 3.0633 1.23352 107 .618 .538
NS
47 Reformulates or restates the problem, take a
look at it from different angle. 3.6000 1.27577 3.2658 1.18439 107 1.672 .097
NS
48 Applies appropriate frameworks, principles,
and modules to solve problem. 3.3000 1.17884 3.2278 1.17615 107 -.064 .949
NS
49 Manage time and meet job schedules. 3.4000 1.13259 3.2658 1.08260 106 .875 .383
NS
50 Conduct personal evaluation. 3.7500 1.20570 3.2658 1.16254 107 2.499 .014
S
51 Identify the knowledge of the need for
employee growth and development. 3.3667 1.03335 3.4051 1.08035 107 .528 .599
NS
52 Identify the factors involved in overhead
control 3.5000 1.07479 3.6709 1.23747 107 1.872 .064
NS
Key: NS= Not Significant; S= Significant; df= Degree of freedom; t cal= calculated values of t-test SPSS; SD1= Standard Deviation of Auto Technology Entrepreneurs SD2 Standard Deviation of Auto Technology Employees; X1= Mean of Auto Technology Entrepreneurs; X2= Mean of Auto Technology Employees; n1= Number of Auto Technology Entrepreneurs; n2= Number of Auto Technology Entrepreneurs; Level of Significance= 0.05
86
Table 7 shows that items 37-49, 51 and 52 have their calculated probability (Sig. 2 tailed)
values to be greater than 0.05 showing that there is no significant difference in the mean
responses of auto technology entrepreneurs and auto technology employees on the
managerial skills possessed by auto technology self employed graduates for entrepreneurial
ventures. However, item 50 has its calculated probability (Sig. 2 tailed) values to be less than
0.05 showing that there is significant difference in the mean responses of auto technology
entrepreneurs and auto technology employees on the managerial skills possessed by auto
technology self employed graduates for entrepreneurial ventures for the item.
Hypothesis 3
There is no significant difference in the mean responses of auto technology entrepreneurs and
auto technology employees on the financial management skills possessed by auto technology
self employed graduates for entrepreneurial ventures.
Table 8
SN Financial Skills Possessed by Auto
Technology Self Employed Graduates
X1 n1= 30
SD1 X2
n2=79 SD2 df T-cal Sig.(2-
tailed Decision
53 Identify options available for managing cask
and liquid assets. 3.8333 1.11675 2.8961 1.28334 105 .662 .485
NS
54 Describe the characteristics and services of
financial institutions. 3.7333 .82768 2.9610 1.22948 105 1.020 .097
NS
55 Identify major economic system in the global
economy. 3.3333 1.18419 3.0390 1.25070 105 .500 .890
NS
56 Identify investment opportunities. 3.3000 1.46570 2.9610 1.22948 105 .645 .384
NS
57 Explain basic tax concepts and effective tax
maximization strategies. 3.2667 1.28475 3.2208 1.35359 105 1.256 .091
NS
58 Demonstrate accountability of responsible use
of company resources. 3.3667 1.24522 3.0260 1.26672 105 1.704 .212
NS
59 Identify major types of employee benefits. 3.7333 1.50707 3.0909 1.25846 105 .873 .520
NS
60 Explain the basic financial markets and
investment options. 3.2000 1.37465 3.1558 1.28826 105 -.139 .618
NS
61 Explain the contingency planning, including
retirement and estate planning. 3.0000 1.43839 3.0519 1.31686 105 1.675 .310
NS
62 Compute various financial transactions. 3.4333 1.50134 3.5325 1.09526 105 .701 .366
NS
63 Compare and evaluate consumer credit. 3.1000 1.51658 3.6623 1.23129 105 .662 .510
NS
Key: NS= Not Significant; S= Significant; df= Degree of freedom; t cal= calculated values of t-test SPSS; SD1= Standard Deviation of Auto Technology Entrepreneurs SD2 Standard Deviation of Auto Technology Employees; X1= Mean of Auto Technology Entrepreneurs; X2= Mean of Auto Technology Employees; n1= Number of Auto Technology Entrepreneurs; n2= Number of Auto Technology Entrepreneurs; Level of Significance= 0.05
87
Table 8 shows that all the items have their calculated probability (Sig. 2 tailed) values to be
greater than 0.05 showing that there is no significant difference in the mean responses of auto
technology entrepreneurs and auto technology employees on the financial skills possessed by
auto technology self employed graduates for entrepreneurial ventures.
Hypothesis 4
There is no significant difference in the mean responses of auto technology entrepreneurs and
auto technology employees on the marketing skills possessed by auto technology self
employed graduates for entrepreneurial ventures.
Table 9
SN Marketing Skills Possessed by Auto Technology Self Employed Graduates
X1
n1 =30 SD1 X2
n2= 79 SD2 df T-cal Sig.(2-
tailed Decision
64 The desire to write market and marketing plan 3.5000 1.16708 3.0256 1.26875 106 -.101 .920
NS
65 Conduct a competitive analysis. 3.6667 1.18419 2.8846 1.28912 105 1.988 .049
S
66 Design a management information system. 3.4667 1.04166 3.2564 1.30370 106 1.777 .078
NS
67 Develop insights concerning individual and
group buying behaviors. 3.1333 1.25212 3.1538 1.33948 106 -.128 .899
NS
68 Adapt to business practices and protocol. 3.3000 1.41787 2.8077 1.28990 106 .641 .523
NS
69 Analyze market shares. 3.3103 1.33907 2.9487 1.27816 106 1.494 .138
NS
70 Assess market legal environment implications. 3.0667 1.31131 2.7564 1.34054 106 .282 .778
NS
71 Analyze import/export Government
regulations. 3.2333 1.38174 2.9351 1.37972 105 1.034 .303
NS
72 Analyze human resource task and design that
appropriate organization structure. 3.0333 1.27261 2.8718 1.33250 106 .270 .787
NS
73 Satisfy different segments of the market 3.1000 1.37339 2.7949 1.31286 106 .665 .508
NS
74 Evaluate the effectiveness of your marketing
activities. 3.4333 1.22287 3.1154 1.29916 106 1.157 .250
NS
75 Set overall pricing for markets. 3.4000 1.32873 2.9615 1.31115 106 2.138 .035
S
76 Forecast profits and revenue related to
markets. 3.1667 1.26173 2.9359 1.22148 106 1.045 .298
NS
77 Use appropriate trade financing programs. 3.5333 1.43198 2.9870 1.32253 106 1.994 .049
S
78 Assess the suitability of products to the
markets to devise branding strategies. 3.4667 1.30604 2.8846 1.31283 105 2.484 .015
S
79 Use appropriate market entry alternatives. 3.3667 1.24522 3.1154 1.29916 105 1.533 .128
NS
80 Appropriate selection, recruit, compensation,
and manage sales force. 3.6333 1.29943 3.1667 1.30912 106 2.973 .004
S
81 Balance between distribution efficiency and
distribution effectiveness. 3.2000 1.24291 3.0256 1.19975 106 .164 .870
NS
82 Select appropriate advertising agency. 3.2667 1.20153 3.1923 1.19495 106 .037 .970
NS
88
83 Select the appropriate distribution channel. 3.6207 1.44948 3.5256 1.08182 106 2.537 .013
S
84 Use different pricing strategies peculiar to
different customers. 3.1000 1.26899 3.0256 1.19223 106 .273 .786
NS
Key: NS= Not Significant; S= Significant; df= Degree of freedom; t cal= calculated values of t-test SPSS; SD1= Standard Deviation of Auto Technology Entrepreneurs SD2 Standard Deviation of Auto Technology Employees; X1= Mean of Auto Technology Entrepreneurs; X2= Mean of Auto Technology Employees; n1= Number of Auto Technology Entrepreneurs; n2= Number of Auto Technology Entrepreneurs; Level of Significance= 0.05
Table 9 revealed that items 64, 66-74, 76, 79, 81, 82 and 84 have their calculated probability
(Sig. 2 tailed) values to be greater than 0.05 showing there is no significant difference in the
mean responses of auto technology entrepreneurs and auto technology employees on the
marketing skills possessed by auto technology self employed graduates for entrepreneurial
ventures. However, items 65, 75, 77, 78, 80 and 83 have their calculated probability (Sig. 2
tailed) values to be less than 0.05 showing that there is significant difference in the mean
responses of auto technology entrepreneurs and auto technology employees on the marketing
skills possessed by auto technology self employed graduates for entrepreneurial ventures for
these items
Hypothesis 5
There is no significant difference in the mean responses of auto technology entrepreneurs and
auto technology employees on the communication skills possessed by auto technology self
employed graduates for entrepreneurial ventures.
Table 10
SN Communication Skills Possessed by Auto
Technology Self Employed Graduates
X1 n1= 30
SD1 X2
n2= 9 SD2 df T-cal Sig.(2-
tailed Decision
85 Initiating Open discussion 3.5172 1.15328 2.6962 1.37145 106 -.357 .722
NS
86 Listen openly to the other person. 3.6552 1.26140 2.9241 1.21710 106 1.456 .148
NS
87 Remove distractions. 3.2759 1.19213 2.9873 1.29589 106 .038 .969
NS
88 Be receptive to the other person. 3.3793 1.34732 3.1139 1.33961 106 .806 .422
NS
89 Resolving conflict. 3.2143 1.28689 2.8987 1.33585 106 .411 .682
NS
90 Maintaining an open posture,
appropriate/comfortable eye-contact, learning
slightly forward.
3.1034 1.31868 2.8481 1.36897 106 .932 .354 NS
91 Delay evaluation on the information received
what you have heard until. 3.0345 1.37536 2.9241 1.38464 106 .946 .013
S
92 Avoid defensive step. 3.5172 1.35279 2.7975 1.31441 106 2.532 .155
NS
93 Relax as any tension or impatience is likely to
transmit via-verbal leakage 3.2069 1.31961 2.7468 1.41845 106 1.433 .467
NS
89
94 Using information technology. 3.1379 1.24568 2.7722 1.23982 106 .730 .237
NS
95 Write business correspondence. 3.2069 1.44863 2.8481 1.24126 106 1.188 .210
NS
96 Making convincing presentations. 3.2759 1.48556 3.1013 1.23615 105 1.261 .395
NS
97 Response through owner’s facial expression or
body gestures. 2.8621 1.40723 3.1519 1.28191 106 -.854 .442
NS
98 Ask the other person for as much detail.
Related to business practices. 3.2069 1.34641 3.2658 1.20585 106 .772 .304
NS
99 Develop the ability to recognize and deal with
barriers that prevents listening with full
attention.
3.2069 1.37267 3.2785 1.16505 106 1.034 .742 NS
100 Develop and use behaviours that help in
listening. 2.7931 1.29227 3.6076 1.17034 106 .330 .722
NS
Key: NS= Not Significant; S= Significant; df= Degree of freedom; t cal= calculated values of t-test SPSS; SD1= Standard Deviation of Auto Technology Entrepreneurs SD2 Standard Deviation of Auto Technology Employees; X1= Mean of Auto Technology Entrepreneurs; X2= Mean of Auto Technology Employees; n1= Number of Auto Technology Entrepreneurs; n2= Number of Auto Technology Entrepreneurs; Level of Significance= 0.05
Table 10 shows that items 85-90 and 92-100 have their calculated probability (Sig. 2 tailed)
values to be greater than 0.05 showing that there is no significant difference in the mean
responses of auto technology entrepreneurs and auto technology employees on the
communication skills possessed by auto technology self employed graduates for
entrepreneurial ventures. However, item 91 has its calculated probability (Sig. 2 tailed)
values to be less than 0.05 showing that there is no significant difference in the mean
responses of auto technology entrepreneurs and auto technology employees on the
communication skills possessed by auto technology self employed graduates for
entrepreneurial ventures for the item.
Findings of the study
The following findings emerged from the study with respect to the research questions and
hypothesis tested.
1. Technical Skills Possessed by Auto Technology Self Employed Graduates
(a) Engine System:
i. Identify and interpret engine concern.
ii. Research applicable vehicle and service information on internal engine operation.
iii. Inspect engine assembly for fuel and oil leaks.
iv. Diagnose engine noises and vibrations.
90
v. Perform engine vacuum test.
vi. Perform cylinder power balance test.
vii. Perform cylinder cranking and running compression test.
viii. Install engine covers using gaskets, seals and sealers as required.
ix. Perform common fastener and thread repair on the broken bolt, internal and external
threads.
x. Inspect, remove and replace engine mounts.
xi. Replace valve stem seals on an assembled engine.
xii. Disassemble engine block; clean and prepare components for inspection and
reasonably.
(b) Electrical System
i. Identify and interpret electrical/electronic system concern.
ii. Check electrical/electronic circuit wave forms.
iii. Determine repairs for electrical/electronic circuit wave forms.
iv. Perform battery state-of-charge test.
v. Confirm proper battery capacity for vehicle application.
(c) Braking System
i. Identify and interpret brake system concern.
ii. Enforce pressure concerns in the brake system using hydraulic principles.
iii. Describe the operation of a regenerative braking system.
iv. Check master cylinder for internal/external leaks.
v. Check brake pad wear indicator system operation
(d) Transmission System
i. Identify and interpret drive train concern.
ii. Drain and fill manual transmission/transaxle and final drive unit.
iii. Remove and reinstall transmission/transaxle.
iv. Remove and replace transaxle final drive.
v. Remove and replace drive axle shafts.
91
(e) Suspension and Steering System
i. Identify and interpret suspension and steering system concern.
ii. Disable and enable supplemental restraint system (SRS).
iii. Adjust non-rack and pinion worm bearing preload and sector lash.
iv. Remove and replace shock absorbers.
(f) Fuel and Ignition System
i. Perform test on ignition primary and secondary circuit wiring and solid state
components.
ii. Inspect and test fuel pump control systems for pressure regulation, and volume.
iii. Check fuel for contaminants and quality.
iv. Inspect and test fuel injectors.
v. Inspect engine assembly for fuel and oil leaks.
2. Managerial Skills Possessed by Auto Technology Self Employed Graduates
i. Acquire management and supervisory skills
ii. Organize the planning process
iii. Develop detailed project schedules, including task, accountabilities and deadlines
iv. Anticipate problems that may impede work.
v. Communicate changes and progress within the organization.
vi. Predict future development from own experience without analysis.
vii. Identify the component part of a situation or problem.
viii. Creative ability to search and find new solution to problem.
ix. Recognizes the potential consequences or implications of action, or ideas.
x. Use graphic illustrations to capture interrelationships and connections.
xi. Reformulates or restates the problem, take a look at it from different angle.
xii. Applies appropriate frameworks, principles, and modules to solve problem.
xiii. Manage time and meet job schedules.
xiv. Conduct personal evaluation.
xv. Identify the knowledge of the need for employee growth and development.
xvi. Identify the factors involved in overhead control
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3. Financial Management Skills Possessed by Auto Technology Self Employed
Graduates
i. Identify options available for managing cask and liquid assets.
ii. Describe the characteristics and services of financial institutions.
iii. Identify major economic system in the global economy.
iv. Identify investment opportunities.
v. Explain basic tax concepts and effective tax maximization strategies.
vi. Demonstrate accountability of responsible use of company resources.
vii. Identify major types of employee benefits.
viii. Explain the basic financial markets and investment options.
ix. Explain the contingency planning, including retirement and estate planning.
x. Compute various financial transactions.
xi. Compare and evaluate consumer credit.
4. Marketing Skills Possessed by Auto Technology Self Employed Graduates
i. The desire to write market and marketing plan
ii. Conduct a competitive analysis.
iii. Design a management information system.
iv. Develop insights concerning individual and group buying behaviors.
v. Adapt to business practices and protocol.
vi. Analyze market shares.
vii. Assess market legal environment implications.
viii. Analyze import/export Government regulations.
ix. Analyze human resource task and design that appropriate organization structure.
x. Satisfy different segments of the market
xi. Evaluate the effectiveness of your marketing activities.
xii. Set overall pricing for markets.
xiii. Forecast profits and revenue related to markets.
xiv. Use appropriate trade financing programs.
xv. Assess the suitability of products to the markets to devise branding strategies.
xvi. Use appropriate market entry alternatives.
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xvii. Appropriate selection, recruit, compensation, and manage sales force.
xviii. Balance between distribution efficiency and distribution effectiveness.
xix. Select appropriate advertising agency.
xx. Select the appropriate distribution channel.
xxi. Use different pricing strategies peculiar to different customers.
5. Communication Skills Possessed by Auto Technology Self Employed Graduates
i. Initiating Open discussion
ii. Listen openly to the other person.
iii. Remove distractions.
iv. Be receptive to the other person.
v. Resolving conflict.
vi. Maintaining an open posture, appropriate/comfortable eye-contact, learning slightly
forward.
vii. Delay evaluation on the information received what you have heard until.
viii. Avoid defensive step.
ix. Relax as any tension or impatience is likely to transmit via-verbal leakage
x. Using information technology.
xi. Write business correspondence.
xii. Making convincing presentations.
xiii. Response through owner’s facial expression or body gestures.
xiv. Ask the other person for as much detail. Related to business practices.
xv. Develop the ability to recognize and deal with barriers that prevents listening with
full attention.
xvi. Develop and use behaviors that help in listening.
Hypothesis
1. It was found that there is no significant difference in the mean responses of auto
technology entrepreneurs and auto technology employees on 26 (1, 2, 3, 6, 7, 10, 12-
14, 17-30, and 32-34) items of technical skills possessed by auto technology self
employed graduates for entrepreneurial ventures. However, significant difference
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existed in the mean responses of auto technology entrepreneurs and auto technology
employees on 10 (4, 5, 8, 9, 11, 15, 16, 31, 35 and 36) items of technical skills
possessed by auto technology self employed graduates for entrepreneurial ventures.
Therefore the null hypothesis of no significant difference was upheld for the 26 items
because their calculated probability values were more than the stated 0.05 level of
significance. The null hypothesis of no significant difference was not upheld for the
10 items as their calculated probability values were less than the stated 0.05 level of
significance.
2. It was found that there is no significant difference in the mean responses of auto
technology entrepreneurs and auto technology employees on 15 (37-49, 51 and 52)
items of the managerial skills possessed by auto technology self employed graduates
for entrepreneurial ventures. However, significant difference existed in the mean
responses of auto technology entrepreneurs and auto technology employees on 1 (50)
item of managerial skills possessed by auto technology self employed graduates for
entrepreneurial ventures. Therefore the null hypothesis of no significant difference
was upheld for the 15 items because their calculated probability values were more
than the stated 0.05 level of significance. The null hypothesis of no significant
difference was not upheld for the 1 item as their calculated probability values were
less than the stated 0.05 level of significance.
3. It was found that there is no significant difference in the mean responses of auto
technology entrepreneurs and auto technology employees on all the 11 (53-63) items
of the financial skills possessed by auto technology self employed graduates for
entrepreneurial ventures. Therefore the null hypothesis of no significant difference
was upheld for these 11 items because their calculated probability values were more
than the stated 0.05 level of significance.
4. It was found that there is no significant difference in the mean responses of auto
technology entrepreneurs and auto technology employees on 15 (64, 66-74, 76, 79,
81, 82 and 84) items of the marketing skills possessed by auto technology self
employed graduates for entrepreneurial ventures. However, significant difference
existed in the mean responses of auto technology entrepreneurs and auto technology
employees on 6 (65, 75, 77, 78, 80 and 83) items of marketing skills possessed by
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auto technology self employed graduates for entrepreneurial ventures. Therefore the
null hypothesis of no significant difference was upheld for the 15 items because their
calculated probability values were more than the stated 0.05 level of significance. The
null hypothesis of no significant difference was not upheld for the 6 items as their
calculated probability values were less than the stated 0.05 level of significance.
5. It was found that there is no significant difference in the mean responses of auto
technology entrepreneurs and auto technology employees on 15 (85-90 and 92-100)
items of the communication skills possessed by auto technology self employed
graduates for entrepreneurial ventures. However, significant difference existed in the
mean responses of auto technology entrepreneurs and auto technology employees on
1 (91) item of communication skills possessed by auto technology self employed
graduates for entrepreneurial ventures. Therefore the null hypothesis of no significant
difference was upheld for the 15 items because their calculated probability values
were more than the stated 0.05 level of significance. The null hypothesis of no
significant difference was not upheld for the 1 item as their calculated probability
values were less than the stated 0.05 level of significance.
Discussion of the Findings
The findings of the study were organized and discussed according to the research
questions answered and null hypothesis tested.
Research Question 1
The result revealed that Technical Skills Possessed by Auto Technology Self Employed
Graduates is all the 36 skill components shown in table 1 above. . This is in line with
Katz,(2000) which stated that technical skills include competencies in a specialized area,
analytical ability, and the ability to use appropriate tools and techniques. Also this is in line
with Human resources and skills development Canada in 2009 who outlined some of the
essential skills for success as an automotive technician.
Hypothesis One (Ho1)
The result of the analysis of hypothesis revealed that there is no significant difference in the
mean responses of auto technology entrepreneurs and auto technology employees on 26
items of technical skills possessed by auto technology self employed graduates for
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entrepreneurial ventures. However, significant difference existed in the mean responses of
auto technology entrepreneurs and auto technology employees on 10 items of technical skills
possessed by auto technology self employed graduates for entrepreneurial ventures.
Therefore the null hypothesis of no significant difference was upheld for the 26 items but
was not upheld for the 10 items. These also agree with the opinion of Human resources and
skills development Canada (2009) who outlined some of the essential skills for success as an
automotive technician.
Research Question 2
The result revealed that all the 16 Managerial Skills components shown in table 2 above are
possessed by Auto Technology Self Employed Graduates. This is in line with Anyakoha
(2009) who outlined some managerial competencies as: ability to communicate effectively
using oral and written skills; knowledge of methods for conducting effective meeting; ability
to make long and short term planning; acquisition of management and supervisory skills
among others.
Hypothesis Two (Ho2)
The result of the analysis of hypothesis revealed that there is no significant difference in the
mean responses of auto technology entrepreneurs and auto technology employees on 15
items of managerial skills possessed by auto technology self employed graduates for
entrepreneurial ventures. However, significant difference existed in the mean responses of
auto technology entrepreneurs and auto technology employees on 1 item of managerial skills
possessed by auto technology self employed graduates for entrepreneurial ventures.
Therefore the null hypothesis of no significant difference was upheld for the 15 items but
was not upheld for the 1 item. These also agree with the opinion of Anyakoha (2009) who
outlined some managerial competencies as: ability to communicate effectively using oral and
written skills; knowledge of methods for conducting effective meeting; ability to make long
and short term planning; acquisition of management and supervisory skills among others.
Research Question 3
The result revealed that all the 11 Financial management Skills components shown in table 3
above are possessed by Auto Technology Self Employed Graduates. This is in line with
description of the responsibilities of a financial manager as put forward by Nieman (2006),
who opined that financial manager is responsible for acquiring the necessary financial
97
resources to ensure the most beneficial results over both short and the long term and making
sure that the business makes the best use of its financial resources. Gitman (2010) stated that,
in addition to financing and investment decision making, the financial manager must ensure
that cash is managed efficiently so that the business can become profitable.
Hypothesis Three (Ho3)
The result of the analysis of hypothesis revealed that there is no significant difference in the
mean responses of auto technology entrepreneurs and auto technology employees on all the
11 items of the financial management skills possessed by auto technology self employed
graduates for entrepreneurial ventures. Therefore the null hypothesis of no significant
difference was upheld for these 11 items. This supports the broad consensus of OECD (2013)
financial education curricular should include an understanding of financial and risk
management, record keeping and compliance, and of the main finance providers and their
requirements. Proper possession of these skills components aligns with the definition of
financial management as defined by Ezeani (2008) which sees financial management as a set
of themes, concepts or (ideas) and techniques by which financial data are processed into
meaningful information for reporting, planning, controlling and decision-making purposes.
Research Question 4
The result revealed that all the 21 Marketing Skills components shown in table 4 above are
possessed by Auto Technology Self Employed Graduates. This is in line with Ademiluyi
(2007) also identified the following marketing skills and competencies, which are needed for
effective entrepreneurship by business related graduates: Salesmanship, Negotiation, Sales
record keeping, Sales promotion, Stock record keeping, Pricing, Advertising channels among
others.
Hypothesis Four (Ho4)
The result of the analysis of hypothesis revealed that there is no significant difference in the
mean responses of auto technology entrepreneurs and auto technology employees on 15
items of managerial skills possessed by auto technology self employed graduates for
entrepreneurial ventures. However, significant difference existed in the mean responses of
auto technology entrepreneurs and auto technology employees on 6 items of managerial
skills possessed by auto technology self employed graduates for entrepreneurial ventures.
Therefore the null hypothesis of no significant difference was upheld for the 15 items but
98
was not upheld for the 6 items. These also agree with the opinion of Kotler (2006) who stated
that identifying the customer’s needs and sustaining the customer’s satisfaction is the
beginning of every business through communication skills in marketing operation. Also in
line with the words of Ademiluyi (2007) who identifies marketing skills and competencies
that are required for effective entrepreneurship by business related graduates to include;
salesmanship, stock record keeping, among others
Research Question 5
The result revealed that all the 16 Communication Skills components shown in table 4 above
are possessed by Auto Technology Self Employed Graduates. This is in line with the words
of Hartley & Bruckman, (2002) who identified two specific steps involved in developing
effective listening skills to include: to develop the ability to recognize and deal with barriers
that prevents you listening with full attention: and to develop and use behaviours which help
you to listen. Such behaviours can also serve to let the other person know that you are giving
them your full attention.
Hypothesis Five (Ho5)
The result of the analysis of hypothesis revealed that there is no significant difference in the
mean responses of auto technology entrepreneurs and auto technology employees on 15
items of communication skills possessed by auto technology self employed graduates for
entrepreneurial ventures. However, significant difference existed in the mean responses of
auto technology entrepreneurs and auto technology employees on 1 item of communication
skills possessed by auto technology self employed graduates for entrepreneurial ventures.
Therefore the null hypothesis of no significant difference was upheld for the 15 items but
was not upheld for the 1 item. These also agree with the opinion of Hartley & Bruckman,
(2002) who identified two specific steps involved in developing effective listening skills to
include: to develop the ability to recognize and deal with barriers that prevents you listening
with full attention: and to develop and use behaviors which help you to listen. Such behaviors
can also serve to let the other person know that you are giving them your full attention.
99
CHAPTER FIVE
Summary, Conclusion and Recommendations
This chapter contains the re-statement of the problem, summary of procedure used,
and the major findings of the study, implications of the study, conclusion, recommendations
and suggestions for further study.
Re-statement of the problem
Important measures has been employed by the past administrations in Nasarawa state
in areas like; fiscal incentive, grants, bilateral and multilateral support to aid educational
institutions in the state especially in technical and entrepreneurial development. However,
auto technology graduates from technical colleges who are expected to have possessed the
entrepreneurial skills for self-employment and join the team of entrepreneurs in the country
for economic growth and industrial development do not seem to possess the entrepreneurial
skills. The graduates are in most case rejected by employers because they do not possess the
entrepreneurial skills.
The graduates, who are mostly teenagers, leave to different parts of this country for
menial jobs particularly as bus conductors, commercial motorcyclist and hawkers, farmers
among others. This has further increased the youth negative behavior in the state as most
anti-social acts including thuggery, militancy, restiveness, and ethnic political clashes. The
graduates would have established in entrepreneurial ventures and do better if they had been
taught the entrepreneurial skills in the school. Hence, there is need for auto technology
graduates to possess the entrepreneurial skills for self employment in Nasarawa state.
99
100
Specifically, the study determine:
• Technical skills possessed by auto technology self-employed graduates for
entrepreneurial ventures
• Managerial skills possessed by auto technology self-employed graduates for
entrepreneurial ventures
• Financial management skills possessed by auto technology self-employed graduates
for entrepreneurial ventures
• Marketing skills possessed by auto technology self employed graduates for
entrepreneurial ventures
• Communication skills possessed by auto technology self-employed graduates for
entrepreneurial ventures.
Summary of procedures used
The study adopted survey research design. The population for the study consist 110
respondents which include 30 auto technology entrepreneurs and 80 auto technology
employees drawn from 30 registered small scale auto technology self employed graduates in
the three senatorial zones of Nasarawa state. The entire population was involved in the study.
A structured questionnaire consisting 100 items was developed and used for data collection.
The questionnaire was face-validation by three experts. Three of them are from
Department of Vocational Teacher Education, University of Nigeria, Nsukka. The experts
were requested to assess the items of the instrument in terms of clarity and appropriateness in
addressing the problem of the study and research questions under investigation. The expert’s
corrections, suggestions and recommendations were incorporated in the final draft of the
instrument. Crombach alpha method was used to estimate the reliability coefficient of the
101
instrument. A total of 110 copies of the questionnaire were administered on the respondent
by the researcher with the aid of three trained research assistants. The completed
questionnaires were collected after the interval of one week. The data collected were
analyzed using mean for answering the five research questions while t-test statistic was use to
test the five null hypotheses at 0.05 level of significance.
Major findings
Base on the data collected and analyzed, the following are the major findings of
which auto technology self employed graduates should possess for entrepreneurial ventures.
1. Thirty six technical skills to be possessed by auto technology self employed graduates
for entrepreneurial ventures.
2. Sixteen managerial skills to be possessed by auto technology elf employed graduates
for entrepreneurial ventures
3. Eleven financial management skills to be possessed by auto technology self employed
graduates for entrepreneurial ventures
4. Twenty one marketing skills to be possessed by auto technology self employed
graduates for entrepreneurial ventures
5. Sixteen communication skills to be possessed by auto technology self employed
graduates for entrepreneurial ventures
6. There was no significant difference in the mean responses of auto technology
entrepreneurs and auto technology employees on the technical skills possessed by
auto technology self employed graduates for entrepreneurial ventures.
102
7. There was no significant difference in the mean responses of auto technology
entrepreneurs and auto technology employees on the managerial skills possessed by
auto technology self-employed graduates for entrepreneurial ventures.
8. There was no significant difference in the mean response of auto technology
entrepreneurs and auto technology employees on the financial management skills
possessed by auto technology self employed graduates for entrepreneurial ventures
9. There was no significant difference in the mean responses of auto technology
entrepreneurs and auto technology employees on the marketing skills possessed by
auto technology self employed graduates for entrepreneurial ventures.
10. There was no significant difference in the mean responses of auto technology
entrepreneurs and auto technology employees on the communication skills possessed
by auto technology self employed graduates for entrepreneurial ventures.
Implication of the study
The findings of this study had implication for graduates of auto technology from
technical colleges, technical teachers and the government. Graduates of auto technology will
have confidence on the training received on entrepreneurial skills and the use of these skills
to improve their performance effectively in business operation.
Teacher of auto technology will found it necessary to learn more on the wider range
of skills required for teaching the students, the auto technology and entrepreneurial concept
especially for entrepreneurial development since these types of skills are not incorporated in
the curriculum. In addition, the teachers will now educate their students on various
entrepreneurial skills as; technical skills, managerial skills, financial skills, marketing skills
and communication skill for entrepreneurial ventures.
103
The government through her National Board for Technical Education (NBTE) as
regulatory body in curriculum development would use the findings from the study to in-
corporate suitable programmes/modules that can enhance entrepreneurial skills for self-
reliance in the country.
Conclusion
Base on the findings of the study, the following conclusions were drawn:
There are many unemployed graduates of auto technology from technical colleges
due to lack of technical and entrepreneurial skills which cover skills in technical, managerial,
financial, and marketing and communication. The study was carried out and found that the
graduates required these skills for self-employment in Nasarawa state.
Recommendations
Base on the findings of the study, the following recommendations were made:
1. All the skills identified in this study should be packaged and use to retain the
graduates of auto technology as prospective entrepreneurs in the country.
2. There should be regular seminar, workshops and conferences for teachers, students
and the general public to strengthen and refocus on entrepreneurial education.
3. Youth should be introduced to entrepreneurial activities at their early stage to enable
them grow alongside with it in and out-of-school programmes.
4. Entrepreneurship subjects should be introduced as one of the compulsory subjects in
all secondary schools in the country. Through this methods students who transcend
into technical institutions to the university level, would have become conversant with
the tenets of entrepreneurial demands.
104
5. Government should increase the budget for the implementation of this policy on
mandatory entrepreneurship education and the budgeted sum should be released in
order to actualize the purpose of the funding.
6. Government should provide initial capital in for of soft loan with little or no interest
to the prospective graduates who intend floating their entrepreneurship.
Suggestions for further study
The following are suggested for further studies:
1. Skills improvement needs of technical teachers for effective teaching of auto
technology repairs and maintenance work to student of technical colleges in
Nasarawa state.
2. Entrepreneurial skills possessed by auto technology self-employed graduates in other
states of the federation.
3. Entrepreneurial competencies require by technologist for success in small scale
automobile maintenance industry in Nasarawa state.
105
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APPENDIX “A” Department of Vocational Teacher Education Faculty of Education University of Nigeria, Nsukka. 12 May, 2015.
Prof./Dr..Mr./Mrs.
-----------------------
-----------------------
Sir,
REQUEST FOR VALIDATION OF INSTRUMENT
I am a postgraduate student of the above named institution; I am carrying out a project
research titled: Entrepreneurial skills possessed by Auto Technology Self Employed
Graduates in Nasarawa State.
I humbly request you to carefully examine the instrument in terms of relevance of the content
and clarity of the instrument.
Yours faithfully,
Isuwa Yakubu Kpanja
Name of Expert…………………
Sign……………………………..
Date……………………………
112
APPENDIX “B”
Department of Vocational Teacher Education Faculty of Education University of Nigeria, Nsukka. 12 May, 2015
Dear Respondents,
Questionnaire on Entrepreneurial Skills Possessed by Auto Technology Self Employed Graduates in Nasarawa State
I am a Postgraduate student of the above named institution, currently carrying out a study on
the topic stated above.
You have been identified as one who could provide useful information needed to the
successful conduct of this study. I will appreciation if the questionnaire will be completed by
you and return it to it bearer.
You are assured that your responses shall be treated with utmost confidence and will be used
strictly for the intended purpose.
Yours faithfully,
Isuwa, Yakubu Kpanja
113
APPENDIX “C”
SECTION A
QUESTIONNAIRE
DEPARTMENT OF VOCATIONAL TEACHER EDUCATION
SCHOOL OF POSTGRADUATE STUDIES
UNIVERSITY OF NIGERIA, NSUKKA
Entrepreneurial Skills Possessed by Auto Technology Self Employed Graduates in
Nasarawa State
SECTION A: Personal Data
Instrument: Check (√) against the box or fill the gap-as applicable to you.
Status
i. Auto Technology Entrepreneurs ( )
ii. Auto Technology Employees ( )
Instruction: Please, thick (√) in the appropriate column or space provided, be assured that
information provided are for research purpose only and will be treated with strict confidence.
KEY:
Very Highly Possessed (VHP) - 5 Points
Highly Possessed (HP) - 4 Points
Possessed (P) - 3 Points
Slightly Possessed (SP) - 2 Points
Not Possessed (NP) - 1 Point
114
SECTION “B”
S/N Technical Skills Possessed by Auto Technology
Self Employed Graduates
VHP HP P SP NP
(a) Engine System:
1. Identify and interpret engine concern.
2. Research applicable vehicle and service information
on internal engine operation.
3. Inspect engine assembly for fuel and oil leaks.
4. Diagnose engine noises and vibrations.
5. Perform engine vacuum test.
6. Perform cylinder power balance test.
7. Perform cylinder cranking and running compression
test.
8. Install engine covers using gaskets, seals and sealers
as required.
9. Perform common fastener and thread repair on the
broken bolt, internal and external threads.
10. Inspect, remove and replace engine mounts.
11. Replace valve stem seals on an assembled engine.
12. Disassemble engine block; clean and prepare
components for inspection and reasonably.
b) Electrical System
13. Identify and interpret electrical/electronic system
concern.
14. Check electrical/electronic circuit wave forms.
15. Determine repairs for electrical/electronic circuit
wave forms.
16. Perform battery state-of-charge test.
17. Confirm proper battery capacity for vehicle
application.
c) Braking System
18. Identify and interpret brake system concern.
19. Enforce pressure concerns in the brake system using
hydraulic principles.
115
20. Describe the operation of a regenerative braking
system.
21. Check master cylinder for internal/external leaks.
22. Check brake pad wear indicator system operation
d) Transmission System
23. Identify and interpret drive train concern.
24. Drain and fill manual transmission/transaxle and final
drive unit.
25. Remove and reinstall transmission/transaxle.
26. Remove and replace transaxle final drive.
27. Remove and replace drive axle shafts.
E) Suspension and Steering System
28. Identify and interpret suspension and steering system
concern.
29. Disable and enable supplemental restraint system
(SRS).
30. Adjust non-rack and pinion worm bearing preload
and sector lash.
31. Remove and replace shock absorbers.
f) Fuel and Ignition System
32. Perform test on ignition primary and secondary
circuit wiring and solid state components.
33. Inspect and test fuel pump control systems for
pressure regulation, and volume.
34. Check fuel for contaminants and quality.
35. Inspect and test fuel injectors.
36. Inspect engine assembly for fuel and oil leaks.
116
SECTION “C”
S/N Managerial Skills Possessed by Auto Technology Self Employed Graduates
VHP HP P SP NP
37. Acquire management and supervisory skills
38. Organize the planning process
39. Develop detailed project schedules, including task,
accountabilities and deadlines
40. Anticipate problems that may impede work.
41. Communicate changes and progress within the
organization.
42. Predict future development from own experience without
analysis.
43. Identify the component part of a situation or problem.
44. Creative ability to search and find new solution to
problem.
45. Recognizes the potential consequences or implications of
action, or ideas.
46. Use graphic illustrations to capture interrelationships and
connections.
47. Reformulates or restates the problem, take a look at it
from different angle.
48. Applies appropriate frameworks, principles, and modules
to solve problem.
49. Manage time and meet job schedules.
50. Conduct personal evaluation.
51. Identify the knowledge of the need for employee growth
and development.
52. Identify the factors involved in overhead control
117
SECTION “D”
S/N Financial Management Skills Possessed by Auto
Technology Self Employed Graduates
VHP HP P SP NP
53. Identify options available for managing cask and liquid
assets.
54. Describe the characteristics and services of financial
institutions.
55. Identify major economic system in the global economy.
56. Identify investment opportunities.
57. Explain basic tax concepts and effective tax
maximization strategies.
58. Demonstrate accountability of responsible use of
company resources.
59. Identify major types of employee benefits.
60. Explain the basic financial markets and investment
options.
61. Explain the contingency planning, including retirement
and estate planning.
62. Compute various financial transactions.
63. Compare and evaluate consumer credit.
118
SECITON “E”
S/N Marketing Skills Possessed by Auto Technology Self Employed Graduates
VHP HP P SP NP
64. The desire to write market and marketing plan
65. Conduct a competitive analysis.
66. Design a management information system.
67. Develop insights concerning individual and group buying
behaviors.
68. Adapt to business practices and protocol.
69. Analyze market shares.
70. Assess market legal environment implications.
71. Analyze import/export Government regulations.
72. Analyze human resource task and design that appropriate
organization structure.
73. Satisfy different segments of the market
74. Evaluate the effectiveness of your marketing activities.
75. Set overall pricing for markets.
76. Forecast profits and revenue related to markets.
77. Use appropriate trade financing programs.
78. Assess the suitability of products to the markets to devise
branding strategies.
79. Use appropriate market entry alternatives.
80. Appropriate selections, recruit, compensation, and
manage sales force.
81. Balance between distribution efficiency and distribution
effectiveness.
82. Select appropriate advertising agency.
83. Select the appropriate distribution channel.
84. Use different pricing strategies peculiar to different
customers.
119
SECTION “F”
S/N Communication Skills Possessed by Auto Technology Self Employed Graduates
VHP HP P SP NP
85. Initiating Open discussion
86. Listen openly to the other person.
87. Remove distractions.
88. Be receptive to the other person.
89. Resolving conflict.
90. Maintaining an open posture, appropriate/comfortable
eye-contact, learning slightly forward.
91. Delay evaluation on the information received what you
have heard until.
92. Avoid defensive step.
93. Relax as any tension or impatience is likely to transmit
via-verbal leakage
94. Using information technology.
95. Write business correspondence.
96. Making convincing presentations.
97. Response through owner’s facial expression or body
gestures.
98. Ask the other person for as much detail. Related to
business practices.
99. Develop the ability to recognize and deal with barriers
that prevents listening with full attention.
100. Develop and use behaviors that help in listening.
120
APPENDIX “D” RESULT OF THE ANALYSIS USING SPSS
RQ1
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
ITEM1 109 1.00 5.00 3.9908 1.04965
ITEM2 109 1.00 5.00 3.5780 1.03900
ITEM3 109 1.00 5.00 3.5596 1.10077
ITEM4 109 1.00 5.00 3.5138 1.11068
ITEM5 109 1.00 5.00 3.3486 1.14161
ITEM6 109 1.00 5.00 3.3853 1.10477
ITEM7 109 1.00 5.00 3.3394 1.26359
ITEM8 109 1.00 5.00 3.6330 1.05111
ITEM9 109 1.00 5.00 3.3486 1.10030
ITEM10 109 1.00 5.00 3.5046 1.13549
ITEM11 108 1.00 5.00 3.5648 1.10456
ITEM12 109 1.00 5.00 3.5963 1.05514
ITEM13 109 1.00 5.00 3.6789 1.02633
ITEM14 108 1.00 5.00 3.4722 1.04531
ITEM15 109 1.00 5.00 3.6330 1.01526
ITEM16 108 1.00 5.00 3.6019 .98531
ITEM17 109 1.00 5.00 3.6514 1.04860
ITEM18 109 1.00 5.00 3.7156 1.10631
ITEM19 109 1.00 5.00 3.4587 1.16692
ITEM20 101 1.00 5.00 3.9505 1.05239
ITEM21 108 1.00 5.00 3.8611 .99961
ITEM22 107 1.00 5.00 3.8224 1.04442
ITEM23 108 1.00 5.00 3.5185 1.05442
ITEM24 108 1.00 5.00 3.4167 1.00582
ITEM25 108 1.00 5.00 3.4444 1.05311
ITEM26 108 1.00 5.00 3.5278 1.12290
ITEM27 108 1.00 5.00 3.6019 1.10174
ITEM28 108 1.00 5.00 3.5833 1.09481
ITEM29 108 1.00 5.00 3.4167 1.07760
ITEM30 108 1.00 5.00 3.4444 1.06194
ITEM31 107 1.00 5.00 3.5701 1.09124
ITEM32 107 1.00 5.00 3.5888 1.02748
ITEM33 108 1.00 5.00 3.4815 1.06325
ITEM34 108 1.00 5.00 3.4444 1.04419
ITEM35 108 1.00 5.00 3.4722 1.11455
ITEM36 108 1.00 5.00 3.4352 1.18616
Valid N (listwise) 96
121
RQ2 Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
ITEM37 109 1.00 5.00 3.6606 1.22641
ITEM38 109 1.00 5.00 3.3945 1.14680
ITEM39 109 1.00 5.00 3.2569 1.16590
ITEM40 108 1.00 5.00 3.2222 1.11350
ITEM41 109 1.00 5.00 3.2477 1.23345
ITEM42 109 1.00 5.00 3.2294 1.25191
ITEM43 109 1.00 5.00 3.1376 1.30857
ITEM44 109 1.00 5.00 3.2018 1.26769
ITEM45 109 1.00 5.00 3.1193 1.28902
ITEM46 109 1.00 5.00 3.0183 1.19398
ITEM47 109 1.00 5.00 3.2661 1.29559
ITEM48 109 1.00 5.00 3.3119 1.19952
ITEM49 109 1.00 5.00 3.2385 1.18555
ITEM50 107 1.00 5.00 3.2430 1.28004
ITEM51 109 1.00 5.00 3.2661 1.22204
ITEM52 109 1.00 5.00 3.1284 1.29172
Valid N (listwise) 106
RQ3
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
ITEM53 107 1.00 5.00 3.7103 1.19756
ITEM54 107 1.00 5.00 3.5888 1.02748
ITEM55 107 1.00 5.00 3.1308 1.28183
ITEM56 107 1.00 5.00 3.1963 1.33487
ITEM57 107 1.00 5.00 3.1402 1.26229
ITEM58 107 1.00 5.00 3.1215 1.26424
ITEM59 107 1.00 5.00 3.3645 1.41016
ITEM60 107 1.00 5.00 3.0280 1.26981
ITEM61 107 1.00 5.00 3.0280 1.29919
ITEM62 107 1.00 5.00 3.0935 1.32133
ITEM63 107 1.00 5.00 2.9533 1.34854
Valid N (listwise) 107
122
RQ4 Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
ITEM64 108 1.00 5.00 3.5185 1.17991
ITEM65 108 1.00 5.00 3.3241 1.12598
ITEM66 108 1.00 5.00 3.1481 1.16663
ITEM67 108 1.00 5.00 3.1574 1.20871
ITEM68 108 1.00 5.00 3.1667 1.33606
ITEM69 107 1.00 5.00 3.0000 1.31752
ITEM70 107 1.00 5.00 3.0093 1.30670
ITEM71 108 1.00 5.00 3.0185 1.33942
ITEM72 108 1.00 5.00 2.9815 1.23031
ITEM73 108 1.00 5.00 2.9630 1.32500
ITEM74 108 1.00 5.00 3.2037 1.28077
ITEM75 108 1.00 5.00 2.9630 1.33903
ITEM76 108 1.00 5.00 2.9537 1.31408
ITEM77 107 1.00 5.00 3.1028 1.41378
ITEM78 108 1.00 5.00 2.9537 1.36296
ITEM79 108 1.00 5.00 3.0648 1.27721
ITEM80 108 1.00 5.00 3.0370 1.33903
ITEM81 108 1.00 5.00 3.1667 1.30778
ITEM82 108 1.00 5.00 3.2593 1.27059
ITEM83 107 1.00 5.00 3.0841 1.36756
ITEM84 108 1.00 5.00 3.0463 1.26332
Valid N (listwise) 105
RQ5
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
ITEM85 108 1.00 5.00 3.5833 1.16109
ITEM86 108 1.00 5.00 3.3796 1.19749
ITEM87 108 1.00 5.00 3.2685 1.19662
ITEM88 108 1.00 5.00 3.2130 1.29738
ITEM89 107 1.00 5.00 3.1308 1.24449
ITEM90 108 1.00 5.00 2.9167 1.26140
ITEM91 108 1.00 5.00 2.8426 1.27640
ITEM92 108 1.00 5.00 2.9537 1.43640
ITEM93 108 1.00 5.00 2.9074 1.32225
ITEM94 108 1.00 5.00 2.9815 1.34638
ITEM95 108 1.00 5.00 2.9444 1.39313
ITEM96 108 1.00 5.00 3.0000 1.38078
ITEM97 108 1.00 5.00 3.0463 1.35608
ITEM98 108 1.00 5.00 3.0463 1.30695
ITEM99 108 1.00 5.00 3.0000 1.26047
ITEM100 108 1.00 5.00 2.7222 1.34535
Valid N (listwise) 107
123
t-test Ho1
Group Statistics
respodendents group N Mean Std. Deviation Std. Error Mean
ITEM1 Auto Technology Entrepreneurs 30 4.2667 .78492 .14331
Tuto Technology Employees 79 3.8861 1.12075 .12609
ITEM2 Auto Technology Entrepreneurs 30 3.7333 1.01483 .18528
Tuto Technology Employees 79 3.5190 1.04833 .11795
ITEM3 Auto Technology Entrepreneurs 30 3.7000 1.02217 .18662
Tuto Technology Employees 79 3.5063 1.13084 .12723
ITEM4 Auto Technology Entrepreneurs 30 3.8667 1.04166 .19018
Tuto Technology Employees 79 3.3797 1.11291 .12521
ITEM5 Auto Technology Entrepreneurs 30 3.7333 1.08066 .19730
Tuto Technology Employees 79 3.2025 1.13657 .12787
ITEM6 Auto Technology Entrepreneurs 30 3.6667 .99424 .18152
Tuto Technology Employees 79 3.2785 1.13156 .12731
ITEM7 Auto Technology Entrepreneurs 30 3.5333 1.38298 .25250
Tuto Technology Employees 79 3.2658 1.21644 .13686
ITEM8 Auto Technology Entrepreneurs 30 4.0333 .92786 .16940
Tuto Technology Employees 79 3.4810 1.06049 .11931
ITEM9 Auto Technology Entrepreneurs 30 3.7000 .95231 .17387
Tuto Technology Employees 79 3.2152 1.12854 .12697
ITEM10 Auto Technology Entrepreneurs 30 3.8000 .99655 .18194
Tuto Technology Employees 79 3.3924 1.17034 .13167
ITEM11 Auto Technology Entrepreneurs 29 4.0690 .88362 .16408
Tuto Technology Employees 79 3.3797 1.12437 .12650
ITEM12 Auto Technology Entrepreneurs 30 3.5667 .89763 .16388
Tuto Technology Employees 79 3.6076 1.11422 .12536
ITEM13 Auto Technology Entrepreneurs 30 3.9000 .99481 .18163
Tuto Technology Employees 79 3.5949 1.03179 .11609
ITEM14 Auto Technology Entrepreneurs 29 3.5862 1.08619 .20170
Tuto Technology Employees 79 3.4304 1.03383 .11632
ITEM15 Auto Technology Entrepreneurs 30 4.0000 .87099 .15902
Tuto Technology Employees 79 3.4937 1.03618 .11658
ITEM16 Auto Technology Entrepreneurs 30 4.0667 .90719 .16563
Tuto Technology Employees 78 3.4231 .96051 .10876
ITEM17 Auto Technology Entrepreneurs 30 3.7333 .94443 .17243
Tuto Technology Employees 79 3.6203 1.08962 .12259
ITEM18 Auto Technology Entrepreneurs 30 3.7000 .95231 .17387
Tuto Technology Employees 79 3.7215 1.16505 .13108
ITEM19 Auto Technology Entrepreneurs 30 3.6000 1.06997 .19535
Tuto Technology Employees 79 3.4051 1.20383 .13544
ITEM20 Auto Technology Entrepreneurs 27 3.8148 1.33119 .25619
Tuto Technology Employees 74 4.0000 .93633 .10885
124
ITEM21 Auto Technology Entrepreneurs 30 3.8333 .94989 .17343
Tuto Technology Employees 78 3.8718 1.02386 .11593
ITEM22 Auto Technology Entrepreneurs 29 3.9655 1.11748 .20751
Tuto Technology Employees 78 3.7692 1.01831 .11530
ITEM23 Auto Technology Entrepreneurs 30 3.6667 .71116 .12984
Tuto Technology Employees 78 3.4615 1.15873 .13120
ITEM24 Auto Technology Entrepreneurs 30 3.5333 1.10589 .20191
Tuto Technology Employees 78 3.3718 .96845 .10966
ITEM25 Auto Technology Entrepreneurs 30 3.6000 1.16264 .21227
Tuto Technology Employees 78 3.3846 1.00945 .11430
ITEM26 Auto Technology Entrepreneurs 30 3.6667 1.02833 .18775
Tuto Technology Employees 78 3.4744 1.15909 .13124
ITEM27 Auto Technology Entrepreneurs 30 3.7667 1.00630 .18372
Tuto Technology Employees 78 3.5385 1.13609 .12864
ITEM28 Auto Technology Entrepreneurs 30 3.9000 .95953 .17518
Tuto Technology Employees 78 3.4615 1.12460 .12734
ITEM29 Auto Technology Entrepreneurs 30 3.6667 .84418 .15413
Tuto Technology Employees 78 3.3205 1.14522 .12967
ITEM30 Auto Technology Entrepreneurs 30 3.7000 .98786 .18036
Tuto Technology Employees 78 3.3462 1.07904 .12218
ITEM31 Auto Technology Entrepreneurs 29 4.0690 .96106 .17847
Tuto Technology Employees 78 3.3846 1.08389 .12273
ITEM32 Auto Technology Entrepreneurs 29 3.8276 .92848 .17241
Tuto Technology Employees 78 3.5000 1.05375 .11931
ITEM33 Auto Technology Entrepreneurs 30 3.5000 1.00858 .18414
Tuto Technology Employees 78 3.4744 1.08979 .12339
ITEM34 Auto Technology Entrepreneurs 30 3.7000 .98786 .18036
Tuto Technology Employees 78 3.3462 1.05470 .11942
ITEM35 Auto Technology Entrepreneurs 30 4.1000 .92289 .16850
Tuto Technology Employees 78 3.2308 1.09216 .12366
ITEM36 Auto Technology Entrepreneurs 30 4.1000 .84486 .15425
Tuto Technology Employees 78 3.1795 1.20328 .13624
125
Independent Samples Test
Levene's Test for Equality of Variances t-test for Equality of Means
95% Confidence Interval of the Difference
F Sig. T df Sig. (2-tailed)
Mean Difference
Std. Error Difference Lower Upper
ITEM1 Equal variances assumed
2.410 .124 1.706 107 .091 .38059 .22314 -.06176 .82294
Equal variances not assumed 1.994 74.651 .050 .38059 .19088 .00030 .76088
ITEM2 Equal variances assumed
.222 .639 .962 107 .338 .21435 .22290 -.22752 .65621
Equal variances not assumed .976 53.970 .333 .21435 .21964 -.22601 .65470
ITEM3 Equal variances assumed
.482 .489 .819 107 .415 .19367 .23643 -.27502 .66236
Equal variances not assumed .857 57.596 .395 .19367 .22587 -.25851 .64586
ITEM4 Equal variances assumed
.118 .732 2.075 107 .040 .48692 .23463 .02180 .95204
Equal variances not assumed 2.138 55.699 .037 .48692 .22770 .03073 .94311
ITEM5 Equal variances assumed
.002 .961 2.207 107 .029 .53080 .24055 .05393 1.00767
Equal variances not assumed 2.258 54.880 .028 .53080 .23511 .05960 1.00201
ITEM6 Equal variances assumed
.288 .593 1.651 107 .102 .38819 .23505 -.07778 .85415
Equal variances not assumed 1.751 59.219 .085 .38819 .22172 -.05543 .83180
ITEM7 Equal variances assumed
1.175 .281 .987 107 .326 .26751 .27102 -.26975 .80477
Equal variances not assumed .931 47.034 .356 .26751 .28720 -.31026 .84528
126
ITEM8 Equal variances assumed
1.566 .214 2.510 107 .014 .55232 .22008 .11603 .98861
Equal variances not assumed 2.666 59.468 .010 .55232 .20720 .13778 .96687
ITEM9 Equal variances assumed
.434 .512 2.086 107 .039 .48481 .23239 .02413 .94549
Equal variances not assumed 2.252 61.659 .028 .48481 .21529 .05440 .91522
ITEM10 Equal variances assumed
1.728 .191 1.688 107 .094 .40759 .24145 -.07106 .88625
Equal variances not assumed 1.815 61.101 .074 .40759 .22459 -.04149 .85668
ITEM11 Equal variances assumed
3.615 .060 2.978 106 .004 .68922 .23146 .23032 1.14812
Equal variances not assumed 3.327 63.166 .001 .68922 .20719 .27521 1.10323
ITEM12 Equal variances assumed
2.212 .140 -.180 107 .857 -.04093 .22730 -.49153 .40967
Equal variances not assumed -.198 64.637 .843 -.04093 .20633 -.45305 .37119
ITEM13 Equal variances assumed
.108 .743 1.392 107 .167 .30506 .21915 -.12938 .73951
Equal variances not assumed 1.415 54.171 .163 .30506 .21556 -.12707 .73720
ITEM14 Equal variances assumed
.066 .798 .685 106 .495 .15583 .22752 -.29526 .60691
Equal variances not assumed .669 47.821 .507 .15583 .23283 -.31236 .62402
ITEM15 Equal variances assumed
3.389 .068 2.375 107 .019 .50633 .21320 .08369 .92897
Equal variances not assumed 2.568 61.901 .013 .50633 .19718 .11217 .90049
ITEM16 Equal variances assumed
.202 .654 3.166 106 .002 .64359 .20328 .24057 1.04661
Equal variances not assumed 3.248 55.512 .002 .64359 .19814 .24658 1.04060
127
ITEM17 Equal variances assumed
.795 .374 .501 107 .617 .11308 .22566 -.33427 .56043
Equal variances not assumed .534 60.025 .595 .11308 .21157 -.31011 .53627
ITEM18 Equal variances assumed
1.219 .272 -.090 107 .928 -.02152 .23835 -.49402 .45099
Equal variances not assumed -.099 63.685 .922 -.02152 .21774 -.45655 .41351
ITEM19 Equal variances assumed
.979 .325 .778 107 .439 .19494 .25071 -.30207 .69195
Equal variances not assumed .820 58.552 .416 .19494 .23771 -.28079 .67067
ITEM20 Equal variances assumed
5.144 .025 -.781 99 .437 -.18519 .23708 -.65560 .28523
Equal variances not assumed -.665 35.818 .510 -.18519 .27835 -.74981 .37944
ITEM21 Equal variances assumed
.249 .619 -.178 106 .859 -.03846 .21573 -.46617 .38924
Equal variances not assumed -.184 56.461 .854 -.03846 .20861 -.45627 .37935
ITEM22 Equal variances assumed
.374 .542 .863 105 .390 .19629 .22743 -.25466 .64723
Equal variances not assumed .827 46.351 .413 .19629 .23739 -.28146 .67404
ITEM23 Equal variances assumed
7.783 .006 .905 106 .368 .20513 .22672 -.24436 .65462
Equal variances not assumed 1.111 85.058 .270 .20513 .18459 -.16187 .57213
ITEM24 Equal variances assumed
.776 .380 .746 106 .457 .16154 .21653 -.26776 .59084
Equal variances not assumed .703 47.088 .485 .16154 .22976 -.30066 .62374
ITEM25 Equal variances assumed
1.600 .209 .952 106 .343 .21538 .22634 -.23336 .66413
Equal variances not assumed .893 46.773 .376 .21538 .24108 -.26968 .70044
128
ITEM26 Equal variances assumed
.841 .361 .796 106 .428 .19231 .24165 -.28679 .67141
Equal variances not assumed .840 58.963 .405 .19231 .22907 -.26607 .65068
ITEM27 Equal variances assumed
.060 .807 .964 106 .337 .22821 .23677 -.24121 .69762
Equal variances not assumed 1.017 59.057 .313 .22821 .22428 -.22057 .67698
ITEM28 Equal variances assumed
3.389 .068 1.886 106 .062 .43846 .23244 -.02237 .89930
Equal variances not assumed 2.025 61.295 .047 .43846 .21657 .00544 .87149
ITEM29 Equal variances assumed
4.396 .038 1.504 106 .136 .34615 .23015 -.11014 .80245
Equal variances not assumed 1.719 71.157 .090 .34615 .20142 -.05545 .74775
ITEM30 Equal variances assumed
.433 .512 1.561 106 .121 .35385 .22662 -.09546 .80315
Equal variances not assumed 1.624 57.187 .110 .35385 .21784 -.08235 .79004
ITEM31 Equal variances assumed
2.382 .126 2.989 105 .003 .68435 .22892 .23044 1.13826
Equal variances not assumed 3.160 56.176 .003 .68435 .21659 .25050 1.11820
ITEM32 Equal variances assumed
.993 .321 1.474 105 .143 .32759 .22224 -.11308 .76826
Equal variances not assumed 1.562 56.525 .124 .32759 .20967 -.09235 .74752
ITEM33 Equal variances assumed
.752 .388 .112 106 .911 .02564 .22948 -.42933 .48061
Equal variances not assumed .116 56.594 .908 .02564 .22166 -.41830 .46958
ITEM34 Equal variances assumed
.020 .888 1.589 106 .115 .35385 .22275 -.08778 .79547
Equal variances not assumed 1.636 55.952 .107 .35385 .21631 -.07948 .78718
129
ITEM35 Equal variances assumed
.448 .505 3.859 106 .000 .86923 .22527 .42261 1.31585
Equal variances not assumed 4.159 61.892 .000 .86923 .20901 .45142 1.28704
ITEM36 Equal variances assumed
4.298 .041 3.837 106 .000 .92051 .23991 .44487 1.39615
Equal variances not assumed 4.473 74.763 .000 .92051 .20581 .51051 1.33052
130
t-test Ho2
Group Statistics
respodendents group N Mean Std. Deviation Std. Error Mean
ITEM37 Auto Technology Entrepreneurs 30 3.6333 1.21721 .22223
Tuto Technology Employees 79 3.6709 1.23747 .13923
ITEM38 Auto Technology Entrepreneurs 30 3.3667 1.32570 .24204
Tuto Technology Employees 79 3.4051 1.08035 .12155
ITEM39 Auto Technology Entrepreneurs 30 3.2333 1.19434 .21805
Tuto Technology Employees 79 3.2658 1.16254 .13080
ITEM40 Auto Technology Entrepreneurs 29 3.1034 1.20549 .22385
Tuto Technology Employees 79 3.2658 1.08260 .12180
ITEM41 Auto Technology Entrepreneurs 30 3.3000 1.39333 .25439
Tuto Technology Employees 79 3.2278 1.17615 .13233
ITEM42 Auto Technology Entrepreneurs 30 3.1333 1.43198 .26144
Tuto Technology Employees 79 3.2658 1.18439 .13325
ITEM43 Auto Technology Entrepreneurs 30 3.3333 1.49328 .27263
Tuto Technology Employees 79 3.0633 1.23352 .13878
ITEM44 Auto Technology Entrepreneurs 30 3.1000 1.26899 .23169
Tuto Technology Employees 79 3.2405 1.27315 .14324
ITEM45 Auto Technology Entrepreneurs 30 3.4667 1.33218 .24322
Tuto Technology Employees 79 2.9873 1.25569 .14128
ITEM46 Auto Technology Entrepreneurs 30 3.1333 1.22428 .22352
Tuto Technology Employees 79 2.9747 1.18727 .13358
ITEM47 Auto Technology Entrepreneurs 30 3.6000 1.27577 .23292
Tuto Technology Employees 79 3.1392 1.28835 .14495
ITEM48 Auto Technology Entrepreneurs 30 3.3000 1.17884 .21523
Tuto Technology Employees 79 3.3165 1.21470 .13666
ITEM49 Auto Technology Entrepreneurs 30 3.4000 1.13259 .20678
Tuto Technology Employees 79 3.1772 1.20639 .13573
ITEM50 Auto Technology Entrepreneurs 28 3.7500 1.20570 .22786
Tuto Technology Employees 79 3.0633 1.26432 .14225
ITEM51 Auto Technology Entrepreneurs 30 3.3667 1.03335 .18866
Tuto Technology Employees 79 3.2278 1.29049 .14519
ITEM52 Auto Technology Entrepreneurs 30 3.5000 1.07479 .19623
Tuto Technology Employees 79 2.9873 1.34444 .15126
131
Independent Samples Test
Levene's Test for Equality of Variances t-test for Equality of Means
F Sig. t df Sig. (2-tailed) Mean Difference
ITEM37 Equal variances assumed .192 .662 -.142 107 .887 -.03755
Equal variances not assumed -.143 53.186 .887 -.03755
ITEM38 Equal variances assumed 3.257 .074 -.155 107 .877 -.03840
Equal variances not assumed -.142 44.421 .888 -.03840
ITEM39 Equal variances assumed .019 .892 -.129 107 .897 -.03249
Equal variances not assumed -.128 51.160 .899 -.03249
ITEM40 Equal variances assumed .005 .946 -.670 106 .504 -.16237
Equal variances not assumed -.637 45.599 .527 -.16237
ITEM41 Equal variances assumed 2.102 .150 .272 107 .786 .07215
Equal variances not assumed .252 45.577 .802 .07215
ITEM42 Equal variances assumed 1.436 .233 -.492 107 .624 -.13249
Equal variances not assumed -.451 44.898 .654 -.13249
ITEM43 Equal variances assumed 3.730 .056 .962 107 .338 .27004
Equal variances not assumed .883 44.857 .382 .27004
ITEM44 Equal variances assumed .073 .788 -.515 107 .608 -.14051
Equal variances not assumed -.516 52.552 .608 -.14051
ITEM45 Equal variances assumed .744 .390 1.750 107 .083 .47932
Equal variances not assumed 1.704 49.764 .095 .47932
ITEM46 Equal variances assumed .200 .656 .618 107 .538 .15865
Equal variances not assumed .609 50.995 .545 .15865
ITEM47 Equal variances assumed .052 .820 1.672 107 .097 .46076
Equal variances not assumed 1.680 52.864 .099 .46076
ITEM48 Equal variances assumed .109 .741 -.064 107 .949 -.01646
132
Equal variances not assumed -.065 53.846 .949 -.01646
ITEM49 Equal variances assumed .011 .918 .875 107 .383 .22278
Equal variances not assumed .901 55.539 .372 .22278
ITEM50 Equal variances assumed .001 .979 2.499 105 .014 .68671
Equal variances not assumed 2.557 49.542 .014 .68671
ITEM51 Equal variances assumed 3.518 .063 .528 107 .599 .13882
Equal variances not assumed .583 65.041 .562 .13882
ITEM52 Equal variances assumed 2.465 .119 1.872 107 .064 .51266
Equal variances not assumed 2.069 65.150 .043 .51266
133
Independent Samples Test
t-test for Equality of Means
95% Confidence Interval of the Difference
Std. Error Difference Lower Upper
ITEM37 Equal variances assumed .26421 -.56132 .48622
Equal variances not assumed .26224 -.56350 .48839
ITEM38 Equal variances assumed .24706 -.52816 .45137
Equal variances not assumed .27084 -.58410 .50731
ITEM39 Equal variances assumed .25118 -.53043 .46545
Equal variances not assumed .25427 -.54293 .47795
ITEM40 Equal variances assumed .24239 -.64293 .31818
Equal variances not assumed .25485 -.67547 .35072
ITEM41 Equal variances assumed .26566 -.45450 .59880
Equal variances not assumed .28675 -.50518 .64949
ITEM42 Equal variances assumed .26943 -.66660 .40162
Equal variances not assumed .29344 -.72355 .45857
ITEM43 Equal variances assumed .28073 -.28647 .82656
Equal variances not assumed .30592 -.34618 .88626
ITEM44 Equal variances assumed .27279 -.68129 .40027
Equal variances not assumed .27239 -.68696 .40595
ITEM45 Equal variances assumed .27383 -.06352 1.02217
Equal variances not assumed .28128 -.08570 1.04435
ITEM46 Equal variances assumed .25679 -.35041 .66771
Equal variances not assumed .26039 -.36411 .68141
ITEM47 Equal variances assumed .27557 -.08552 1.00704
Equal variances not assumed .27434 -.08953 1.01105
ITEM48 Equal variances assumed .25844 -.52878 .49587
Equal variances not assumed .25495 -.52763 .49472
ITEM49 Equal variances assumed .25453 -.28178 .72735
Equal variances not assumed .24735 -.27280 .71837
ITEM50 Equal variances assumed .27481 .14180 1.23161
Equal variances not assumed .26861 .14706 1.22635
ITEM51 Equal variances assumed .26295 -.38246 .66009
Equal variances not assumed .23806 -.33662 .61426
ITEM52 Equal variances assumed .27386 -.03024 1.05555
Equal variances not assumed .24776 .01787 1.00745
134
t-test Ho3 Group Statistics
respodendents group N Mean Std. Deviation Std. Error Mean
ITEM53 Auto Technology Entrepreneurs 30 3.8333 1.11675 .20389
Tuto Technology Employees 77 3.6623 1.23129 .14032
ITEM54 Auto Technology Entrepreneurs 30 3.7333 .82768 .15111
Tuto Technology Employees 77 3.5325 1.09526 .12482
ITEM55 Auto Technology Entrepreneurs 30 3.3333 1.18419 .21620
Tuto Technology Employees 77 3.0519 1.31686 .15007
ITEM56 Auto Technology Entrepreneurs 30 3.3000 1.46570 .26760
Tuto Technology Employees 77 3.1558 1.28826 .14681
ITEM57 Auto Technology Entrepreneurs 30 3.2667 1.28475 .23456
Tuto Technology Employees 77 3.0909 1.25846 .14342
ITEM58 Auto Technology Entrepreneurs 30 3.3667 1.24522 .22735
Tuto Technology Employees 77 3.0260 1.26672 .14436
ITEM59 Auto Technology Entrepreneurs 30 3.7333 1.50707 .27515
Tuto Technology Employees 77 3.2208 1.35359 .15426
ITEM60 Auto Technology Entrepreneurs 30 3.2000 1.37465 .25098
Tuto Technology Employees 77 2.9610 1.22948 .14011
ITEM61 Auto Technology Entrepreneurs 30 3.0000 1.43839 .26261
Tuto Technology Employees 77 3.0390 1.25070 .14253
ITEM62 Auto Technology Entrepreneurs 30 3.4333 1.50134 .27411
Tuto Technology Employees 77 2.9610 1.22948 .14011
ITEM63 Auto Technology Entrepreneurs 30 3.1000 1.51658 .27689
Tuto Technology Employees 77 2.8961 1.28334 .14625
Independent Samples Test
Levene's Test for Equality of Variances t-test for Equality of Means
F Sig. t df
ITEM53 Equal variances assumed 1.141 .288 .662 105
Equal variances not assumed .691 58.010
ITEM54 Equal variances assumed 4.557 .035 .908 105
Equal variances not assumed 1.025 69.690
ITEM55 Equal variances assumed .471 .494 1.020 105
Equal variances not assumed 1.069 58.495
ITEM56 Equal variances assumed 2.645 .107 .500 105
Equal variances not assumed .472 47.444
ITEM57 Equal variances assumed .085 .771 .645 105
Equal variances not assumed .639 51.964
ITEM58 Equal variances assumed .291 .591 1.256 105
135
Equal variances not assumed 1.265 53.764
ITEM59 Equal variances assumed 1.192 .277 1.704 105
Equal variances not assumed 1.625 48.274
ITEM60 Equal variances assumed .784 .378 .873 105
Equal variances not assumed .831 48.110
ITEM61 Equal variances assumed .569 .452 -.139 105
Equal variances not assumed -.130 47.044
ITEM62 Equal variances assumed 4.320 .040 1.675 105
Equal variances not assumed 1.534 44.963
ITEM63 Equal variances assumed 2.294 .133 .701 105
Equal variances not assumed .651 46.070
Independent Samples Test
t-test for Equality of Means
Sig. (2-tailed) Mean Difference
Std. Error Difference
ITEM53 Equal variances assumed .510 .17100 .25843
Equal variances not assumed .492 .17100 .24751
ITEM54 Equal variances assumed .366 .20087 .22132
Equal variances not assumed .309 .20087 .19600
ITEM55 Equal variances assumed .310 .28139 .27583
Equal variances not assumed .289 .28139 .26318
ITEM56 Equal variances assumed .618 .14416 .28831
Equal variances not assumed .639 .14416 .30523
ITEM57 Equal variances assumed .520 .17576 .27242
Equal variances not assumed .525 .17576 .27493
ITEM58 Equal variances assumed .212 .34069 .27136
Equal variances not assumed .211 .34069 .26930
ITEM59 Equal variances assumed .091 .51255 .30081
Equal variances not assumed .111 .51255 .31544
ITEM60 Equal variances assumed .384 .23896 .27360
Equal variances not assumed .410 .23896 .28744
ITEM61 Equal variances assumed .890 -.03896 .28092
Equal variances not assumed .897 -.03896 .29880
ITEM62 Equal variances assumed .097 .47229 .28199
Equal variances not assumed .132 .47229 .30784
ITEM63 Equal variances assumed .485 .20390 .29093
Equal variances not assumed .518 .20390 .31314
136
Independent Samples Test
t-test for Equality of Means
95% Confidence Interval of the Difference
Lower Upper
ITEM53 Equal variances assumed -.34142 .68341
Equal variances not assumed -.32444 .66643
ITEM54 Equal variances assumed -.23797 .63970
Equal variances not assumed -.19007 .59180
ITEM55 Equal variances assumed -.26553 .82830
Equal variances not assumed -.24533 .80810
ITEM56 Equal variances assumed -.42752 .71583
Equal variances not assumed -.46973 .75804
ITEM57 Equal variances assumed -.36441 .71592
Equal variances not assumed -.37594 .72746
ITEM58 Equal variances assumed -.19736 .87874
Equal variances not assumed -.19928 .88067
ITEM59 Equal variances assumed -.08389 1.10900
Equal variances not assumed -.12159 1.14670
ITEM60 Equal variances assumed -.30353 .78145
Equal variances not assumed -.33894 .81686
ITEM61 Equal variances assumed -.59596 .51804
Equal variances not assumed -.64005 .56213
ITEM62 Equal variances assumed -.08683 1.03142
Equal variances not assumed -.14774 1.09233
ITEM63 Equal variances assumed -.37297 .78076
Equal variances not assumed -.42639 .83419
t-test Ho4
Group Statistics
respodendents group N Mean Std. Deviation Std. Error Mean
ITEM64 Auto Technology Entrepreneurs 30 3.5000 1.16708 .21308
Tuto Technology Employees 78 3.5256 1.19223 .13499
ITEM65 Auto Technology Entrepreneurs 30 3.6667 1.18419 .21620
Tuto Technology Employees 78 3.1923 1.08182 .12249
ITEM66 Auto Technology Entrepreneurs 30 3.4667 1.04166 .19018
Tuto Technology Employees 78 3.0256 1.19495 .13530
ITEM67 Auto Technology Entrepreneurs 30 3.1333 1.25212 .22861
Tuto Technology Employees 78 3.1667 1.19975 .13584
ITEM68 Auto Technology Entrepreneurs 30 3.3000 1.41787 .25887
Tuto Technology Employees 78 3.1154 1.30912 .14823
ITEM69 Auto Technology Entrepreneurs 29 3.3103 1.33907 .24866
Tuto Technology Employees 78 2.8846 1.29916 .14710
137
ITEM70 Auto Technology Entrepreneurs 30 3.0667 1.31131 .23941
Tuto Technology Employees 77 2.9870 1.31283 .14961
ITEM71 Auto Technology Entrepreneurs 30 3.2333 1.38174 .25227
Tuto Technology Employees 78 2.9359 1.32253 .14975
ITEM72 Auto Technology Entrepreneurs 30 3.0333 1.27261 .23235
Tuto Technology Employees 78 2.9615 1.22148 .13831
ITEM73 Auto Technology Entrepreneurs 30 3.1000 1.37339 .25075
Tuto Technology Employees 78 2.9103 1.31115 .14846
ITEM74 Auto Technology Entrepreneurs 30 3.4333 1.22287 .22326
Tuto Technology Employees 78 3.1154 1.29916 .14710
ITEM75 Auto Technology Entrepreneurs 30 3.4000 1.32873 .24259
Tuto Technology Employees 78 2.7949 1.31286 .14865
ITEM76 Auto Technology Entrepreneurs 30 3.1667 1.26173 .23036
Tuto Technology Employees 78 2.8718 1.33250 .15088
ITEM77 Auto Technology Entrepreneurs 30 3.5333 1.43198 .26144
Tuto Technology Employees 77 2.9351 1.37972 .15723
ITEM78 Auto Technology Entrepreneurs 30 3.4667 1.30604 .23845
Tuto Technology Employees 78 2.7564 1.34054 .15179
ITEM79 Auto Technology Entrepreneurs 30 3.3667 1.24522 .22735
Tuto Technology Employees 78 2.9487 1.27816 .14472
ITEM80 Auto Technology Entrepreneurs 30 3.6333 1.29943 .23724
Tuto Technology Employees 78 2.8077 1.28990 .14605
ITEM81 Auto Technology Entrepreneurs 30 3.2000 1.24291 .22692
Tuto Technology Employees 78 3.1538 1.33948 .15167
ITEM82 Auto Technology Entrepreneurs 30 3.2667 1.20153 .21937
Tuto Technology Employees 78 3.2564 1.30370 .14761
ITEM83 Auto Technology Entrepreneurs 29 3.6207 1.44948 .26916
Tuto Technology Employees 78 2.8846 1.28912 .14596
ITEM84 Auto Technology Entrepreneurs 30 3.1000 1.26899 .23169
Tuto Technology Employees 78 3.0256 1.26875 .14366
138
Independent Samples Test
Levene's Test for Equality of Variances t-test for Equality of Means
95% Confidence Interval of the Difference
F Sig. T df Sig. (2-tailed)
Mean Difference
Std. Error Difference Lower Upper
ITEM64 Equal variances assumed
.084 .773 -.101 106 .920 -.02564 .25467 -.53054 .47926
Equal variances not assumed -.102 53.694 .919 -.02564 .25224 -.53142 .48014
ITEM65 Equal variances assumed
1.084 .300 1.988 106 .049 .47436 .23863 .00125 .94747
Equal variances not assumed 1.909 48.715 .062 .47436 .24849 -.02508 .97379
ITEM66 Equal variances assumed
.385 .536 1.777 106 .078 .44103 .24814 -.05094 .93299
Equal variances not assumed 1.890 59.997 .064 .44103 .23340 -.02584 .90789
ITEM67 Equal variances assumed
.317 .574 -.128 106 .899 -.03333 .26087 -.55054 .48387
Equal variances not assumed -.125 50.715 .901 -.03333 .26592 -.56727 .50060
ITEM68 Equal variances assumed
1.201 .276 .641 106 .523 .18462 .28782 -.38602 .75525
Equal variances not assumed .619 49.145 .539 .18462 .29830 -.41480 .78403
ITEM69 Equal variances assumed
.109 .742 1.494 105 .138 .42573 .28490 -.13917 .99063
Equal variances not assumed 1.474 48.852 .147 .42573 .28891 -.15490 1.00636
ITEM70 Equal variances assumed
.000 .989 .282 105 .778 .07965 .28246 -.48041 .63972
Equal variances not assumed .282 52.989 .779 .07965 .28231 -.48660 .64591
139
ITEM71 Equal variances assumed
.303 .583 1.034 106 .303 .29744 .28766 -.27288 .86775
Equal variances not assumed 1.014 50.668 .315 .29744 .29337 -.29162 .88649
ITEM72 Equal variances assumed
.489 .486 .270 106 .787 .07179 .26547 -.45452 .59811
Equal variances not assumed .266 50.790 .792 .07179 .27039 -.47110 .61469
ITEM73 Equal variances assumed
.056 .814 .665 106 .508 .18974 .28540 -.37609 .75558
Equal variances not assumed .651 50.555 .518 .18974 .29140 -.39539 .77488
ITEM74 Equal variances assumed
.277 .600 1.157 106 .250 .31795 .27472 -.22670 .86260
Equal variances not assumed 1.189 55.690 .239 .31795 .26737 -.21772 .85362
ITEM75 Equal variances assumed
.129 .721 2.138 106 .035 .60513 .28298 .04408 1.16617
Equal variances not assumed 2.127 52.100 .038 .60513 .28451 .03424 1.17602
ITEM76 Equal variances assumed
.715 .400 1.045 106 .298 .29487 .28219 -.26459 .85434
Equal variances not assumed 1.071 55.379 .289 .29487 .27537 -.25690 .84664
ITEM77 Equal variances assumed
.234 .630 1.994 105 .049 .59827 .30009 .00324 1.19330
Equal variances not assumed 1.961 51.215 .055 .59827 .30508 -.01415 1.21068
ITEM78 Equal variances assumed
.317 .575 2.484 106 .015 .71026 .28599 .14326 1.27725
Equal variances not assumed 2.513 53.928 .015 .71026 .28266 .14354 1.27697
ITEM79 Equal variances assumed
.018 .894 1.533 106 .128 .41795 .27268 -.12266 .95855
Equal variances not assumed 1.551 53.930 .127 .41795 .26950 -.12238 .95828
140
ITEM80 Equal variances assumed
.005 .941 2.973 106 .004 .82564 .27768 .27512 1.37616
Equal variances not assumed 2.964 52.317 .005 .82564 .27859 .26668 1.38460
ITEM81 Equal variances assumed
.726 .396 .164 106 .870 .04615 .28224 -.51342 .60573
Equal variances not assumed .169 56.453 .866 .04615 .27294 -.50052 .59282
ITEM82 Equal variances assumed
1.296 .257 .037 106 .970 .01026 .27425 -.53347 .55398
Equal variances not assumed .039 56.821 .969 .01026 .26441 -.51925 .53976
ITEM83 Equal variances assumed
1.990 .161 2.537 105 .013 .73607 .29009 .16089 1.31126
Equal variances not assumed 2.404 45.461 .020 .73607 .30619 .11954 1.35260
ITEM84 Equal variances assumed
.210 .648 .273 106 .786 .07436 .27259 -.46607 .61479
Equal variances not assumed .273 52.654 .786 .07436 .27261 -.47251 .62123
141
t-test Ho5
Group Statistics
respodendents group N Mean Std. Deviation Std. Error Mean
ITEM85 Auto Technology Entrepreneurs 29 3.5172 1.15328 .21416
Tuto Technology Employees 79 3.6076 1.17034 .13167
ITEM86 Auto Technology Entrepreneurs 29 3.6552 1.26140 .23424
Tuto Technology Employees 79 3.2785 1.16505 .13108
ITEM87 Auto Technology Entrepreneurs 29 3.2759 1.19213 .22137
Tuto Technology Employees 79 3.2658 1.20585 .13567
ITEM88 Auto Technology Entrepreneurs 29 3.3793 1.34732 .25019
Tuto Technology Employees 79 3.1519 1.28191 .14423
ITEM89 Auto Technology Entrepreneurs 28 3.2143 1.28689 .24320
Tuto Technology Employees 79 3.1013 1.23615 .13908
ITEM90 Auto Technology Entrepreneurs 29 3.1034 1.31868 .24487
Tuto Technology Employees 79 2.8481 1.24126 .13965
ITEM91 Auto Technology Entrepreneurs 29 3.0345 1.37536 .25540
Tuto Technology Employees 79 2.7722 1.23982 .13949
ITEM92 Auto Technology Entrepreneurs 29 3.5172 1.35279 .25121
Tuto Technology Employees 79 2.7468 1.41845 .15959
ITEM93 Auto Technology Entrepreneurs 29 3.2069 1.31961 .24505
Tuto Technology Employees 79 2.7975 1.31441 .14788
ITEM94 Auto Technology Entrepreneurs 29 3.1379 1.24568 .23132
Tuto Technology Employees 79 2.9241 1.38464 .15578
ITEM95 Auto Technology Entrepreneurs 29 3.2069 1.44863 .26900
Tuto Technology Employees 79 2.8481 1.36897 .15402
ITEM96 Auto Technology Entrepreneurs 29 3.2759 1.48556 .27586
Tuto Technology Employees 79 2.8987 1.33585 .15029
ITEM97 Auto Technology Entrepreneurs 29 2.8621 1.40723 .26132
Tuto Technology Employees 79 3.1139 1.33961 .15072
ITEM98 Auto Technology Entrepreneurs 29 3.2069 1.34641 .25002
Tuto Technology Employees 79 2.9873 1.29589 .14580
ITEM99 Auto Technology Entrepreneurs 29 3.2069 1.37267 .25490
Tuto Technology Employees 79 2.9241 1.21710 .13693
ITEM100 Auto Technology Entrepreneurs 29 2.7931 1.29227 .23997
Tuto Technology Employees 79 2.6962 1.37145 .15430
142
Independent Samples Test
Levene's Test for Equality of Variances t-test for Equality of Means
F Sig. t Df Sig. (2-tailed) Mean Difference
ITEM85 Equal variances assumed .001 .975 -.357 106 .722 -.09035
Equal variances not assumed -.359 50.576 .721 -.09035
ITEM86 Equal variances assumed .278 .599 1.456 106 .148 .37669
Equal variances not assumed 1.403 46.641 .167 .37669
ITEM87 Equal variances assumed .123 .726 .038 106 .969 .01004
Equal variances not assumed .039 50.429 .969 .01004
ITEM88 Equal variances assumed .074 .786 .806 106 .422 .22741
Equal variances not assumed .787 47.806 .435 .22741
ITEM89 Equal variances assumed .011 .917 .411 105 .682 .11302
Equal variances not assumed .403 45.850 .689 .11302
ITEM90 Equal variances assumed .010 .919 .932 106 .354 .25535
Equal variances not assumed .906 47.377 .370 .25535
ITEM91 Equal variances assumed .032 .859 .946 106 .346 .26233
Equal variances not assumed .901 45.736 .372 .26233
ITEM92 Equal variances assumed .146 .703 2.532 106 .013 .77041
Equal variances not assumed 2.589 52.114 .012 .77041
ITEM93 Equal variances assumed .015 .902 1.433 106 .155 .40943
Equal variances not assumed 1.431 49.741 .159 .40943
ITEM94 Equal variances assumed .717 .399 .730 106 .467 .21388
Equal variances not assumed .767 55.091 .446 .21388
ITEM95 Equal variances assumed .511 .476 1.188 106 .237 .35880
Equal variances not assumed 1.157 47.534 .253 .35880
ITEM96 Equal variances assumed 1.843 .177 1.261 106 .210 .37713
143
Equal variances not assumed 1.200 45.646 .236 .37713
ITEM97 Equal variances assumed .096 .757 -.854 106 .395 -.25186
Equal variances not assumed -.835 47.827 .408 -.25186
ITEM98 Equal variances assumed .414 .522 .772 106 .442 .21955
Equal variances not assumed .759 48.277 .452 .21955
ITEM99 Equal variances assumed .903 .344 1.034 106 .304 .28285
Equal variances not assumed .978 45.144 .334 .28285
ITEM100 Equal variances assumed 1.385 .242 .330 106 .742 .09690
Equal variances not assumed .340 52.706 .735 .09690
144
Independent Samples Test
t-test for Equality of Means
95% Confidence Interval of the Difference
Std. Error Difference Lower Upper
ITEM85 Equal variances assumed .25313 -.59221 .41150
Equal variances not assumed .25140 -.59516 .41445
ITEM86 Equal variances assumed .25865 -.13610 .88948
Equal variances not assumed .26842 -.16341 .91679
ITEM87 Equal variances assumed .26103 -.50748 .52756
Equal variances not assumed .25964 -.51135 .53143
ITEM88 Equal variances assumed .28215 -.33198 .78680
Equal variances not assumed .28879 -.35329 .80811
ITEM89 Equal variances assumed .27479 -.43184 .65788
Equal variances not assumed .28016 -.45096 .67700
ITEM90 Equal variances assumed .27404 -.28797 .79866
Equal variances not assumed .28190 -.31164 .82233
ITEM91 Equal variances assumed .27727 -.28738 .81204
Equal variances not assumed .29101 -.32353 .84819
ITEM92 Equal variances assumed .30427 .16715 1.37366
Equal variances not assumed .29761 .17323 1.36758
ITEM93 Equal variances assumed .28568 -.15697 .97582
Equal variances not assumed .28621 -.16552 .98438
ITEM94 Equal variances assumed .29297 -.36695 .79471
Equal variances not assumed .27888 -.34500 .77276
ITEM95 Equal variances assumed .30189 -.23974 .95733
Equal variances not assumed .30998 -.26461 .98220
ITEM96 Equal variances assumed .29897 -.21561 .96986
Equal variances not assumed .31415 -.25535 1.00961
ITEM97 Equal variances assumed .29480 -.83633 .33262
Equal variances not assumed .30167 -.85845 .35474
ITEM98 Equal variances assumed .28430 -.34410 .78321
Equal variances not assumed .28943 -.36229 .80140
ITEM99 Equal variances assumed .27358 -.25956 .82525
Equal variances not assumed .28935 -.29989 .86558
ITEM100 Equal variances assumed .29333 -.48465 .67845
Equal variances not assumed .28529 -.47540 .66920
145
APPENDIX “E” Population Distribution of Auto Technology Entrepreneurs and Auto Technology
Employees of Self Employed Graduates in Nasarawa State.
S/NO Senatorial zone No of Entrepreneurs No of Employees Total
1 Nasarawa North 8 20 28
2 Nasarawa West 10 25 35
3 Nasarawa South 12 35 47
Total 30 80 110
Source: Nasarawa State Ministry of Commerce and Industries 2012.