BY WENDY OLUOCH

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STRATEGIC INTERVENTIONS AND PERFORMANCE OF SMALL AND MEDIUM ENTERPRISES IN NAIROBI CITY COUNTY, KENYA: A CASE OF CENTONOMY LIMITED BY WENDY OLUOCH UNITED STATES INTERNATIONAL UNIVERSITY-AFRICA SUMMER 2020

Transcript of BY WENDY OLUOCH

STRATEGIC INTERVENTIONS AND PERFORMANCE OF SMALL

AND MEDIUM ENTERPRISES IN NAIROBI CITY COUNTY,

KENYA: A CASE OF CENTONOMY LIMITED

BY

WENDY OLUOCH

UNITED STATES INTERNATIONAL UNIVERSITY-AFRICA

SUMMER 2020

STRATEGIC INTERVENTIONS AND PERFORMANCE OF SMALL

AND MEDIUM ENTERPRISES IN NAIROBI CITY COUNTY,

KENYA: A CASE OF CENTONOMY LIMITED

BY

WENDY OLUOCH

A Research Project Report Submitted to the Chandaria School of

Business in Partial Fulfillment of the Degree of Master in Business

Administration (MBA)

UNITED STATES INTERNATIONAL UNIVERSITY-AFRICA

SUMMER 2020

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STUDENT’S DECLARATION

I, the undersigned, declare that this is my original work and has not been submitted to any

other college, institution, or university other than the United States International University

in Nairobi for academic credit.

Signed __________________________ Date___________________________

Wendy Oluoch (ID 631678)

This project has been submitted for examination with my approval as the university

appointed supervisor.

Signed___________________________ Date____________________________

Dr. Charity Muraguri

Signed____________________________ Date___________________________

Dean, Chandaria School of Business

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ACKNOWLEDGEMENT

I would first like to thank God for His blessings granted during the entire period while

undertaking this study. A special thank you particularly goes to my Supervisor, Dr. Charity

Muraguri, for her patience, efficiency, and timely review and guidance throughout the

conceptualization of the research to the final preparation of this thesis. Her positive

criticism ensured that I remained within the subject context.

I also wish to thank my parents Mr. and Mrs. Oluoch and my siblings for their valuable

company and moral support throughout the course work to the development of this study.

To you all thank you and may God’s blessings be upon your lives.

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ABSTRACT

The general objective of this study was to establish the effects of strategic interventions

and performance of small and medium enterprises in Nairobi City County, Kenya: a case

of Centonomy Limited. The study was guided by the following specific objectives; to

establish the effects of organization training intervention and SMEs performance, to

investigate the effect of marketing skills intervention and SMEs performance and to

determine the effect of access to finance skills intervention and financial performance of

SMEs.

The study adopted a descriptive research approach. The descriptive survey research design

was used to determine the characteristics of a defined population group. Target population

comprised of 1539 registered SMEs owners found within Nairobi County and trained at

Centonomy Limited. The study sample size was 318 respondents. Eminently,

questionnaires were used for data collection. The Data collected from the questionnaires

was coded using the Computer Statistical Package for Social Sciences (SPSS) software

version 24 programme to enable analysis. Measures of central tendencies including means

and standard deviation were used during analysis. Inferential analysis was likewise used in

the study. Correlation analysis was used to investigate the relationship between the various

causative factors of financial performance of SMEs. Linear regressions analysis including

model summary, ANOVA and regression coefficients were used to observe how each of

the independent variables (Training intervention skills, Marketing intervention skills and

Access to finance skills) influenced financial performance of SMEs. Final analyzed data

was presented using figures and tables.

The study revealed that most members of the organization work and move towards a

desired agreed future, training strategy has helps the firm in foreseeing environmental and

market changes. The study also showed that the firm has a common mental model of its

future state that provides the basis for its actions. The firm is always willing to question its

current thinking and practices. The respondents agreed that their organization actively

encourages employees and customers to give feedback and suggestions for improvements.

Training strategy has increased the firms’ ability to innovate. Organizational knowledge

transfer has improved the performance of the firm. The firm has the tendency to create and

apply knowledge within the organization. Lastly; the firm evaluates its daily operations and

accepts new ideas easily.

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The study showed that organizations have intelligence (information about their strengths,

weaknesses and capabilities) about its competitors. Market orientation is a significant part

of the firms’ culture. Market orientation in the firm has been formalized to exist in the

firm’s rules and regulations. Market orientation has improved the firms’ market share and

profitability. Market orientation has improved customer satisfaction and loyalty to the firm.

The firm creates superior value to its customers through sufficient understanding of their

needs. Customer orientation has helped the firm in developing appropriate service

strategies that meet customer needs and demands. The organization seeks intelligence about

its competitors in order to improve its service delivery. Inter-functional coordination helps

the firm to analyze and use information gained in its decision process.

The study concludes that access to long-term credit with affordable interest rates from

financial institutions has influenced the growth of sales turnover in my business. High cost

of credit from financial institutions has influenced the growth of profit margin in my

business. Lack of credit history for long-term credit from financial institutions has

influenced the growth of asset value in my business. Risk exposures such as interest rates

affect the foreign investors more than local investors. Lack or inadequate collateral for

long-term credit from financial institutions has influenced the growth of asset value in my

business. Lack of awareness of funding opportunities for long-term credit by financial

institutions has influenced the growth of asset value in my business.

Change is inevitable and it is only through training that the SMEs can embrace change. The

study therefore recommends that training should be given priority and conducted in a

modern way. The study also recommends that firms must have the tendency to create and

apply knowledge within the organization and evaluates its daily operations and accepts new

ideas easily.

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TABLE OF CONTENTS

STUDENT’S DECLARATION ........................................................................................ ii

ACKNOWLEDGEMENT ............................................................................................... iii

LIST OF TABLES ......................................................................................................... viii

LIST OF FIGURES .......................................................................................................... ix

LIST OF ABBREVIATIONS ........................................................................................... x

CHAPTER ONE ................................................................................................................ 1

1.0. INTRODUCTION....................................................................................................... 1

1.1. Background of the Study .......................................................................................... 1

1.2 Statement of the Problem ........................................................................................... 5

1.3. General Objective ..................................................................................................... 7

1.4. Specific Objectives ................................................................................................... 7

1.5 Significance of the Study ........................................................................................... 7

1.6 Scope of the Study ..................................................................................................... 8

1.7 Definition of Terms.................................................................................................... 8

1.8 Chapter Summary ...................................................................................................... 9

CHAPTER TWO ............................................................................................................. 10

2.0 LITERATURE REVIEW ......................................................................................... 10

2.1 Introduction .............................................................................................................. 10

2.2 Training Intervention and Performance of SMEs .................................................... 10

2.3. Market intervention and Performance of SMEs ..................................................... 14

2.4 Access to Finance Skills and Performance of SMEs ............................................... 18

2.5 Chapter Summary .................................................................................................... 23

CHAPTER THREE ......................................................................................................... 24

3.0 RESEARCH METHODOLOGY ............................................................................. 24

3.1 Introduction .............................................................................................................. 24

3.2 Research Design....................................................................................................... 24

3.3 Population and Sampling Design ............................................................................. 24

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3.4 Data Collection Methods ......................................................................................... 27

3.5 Research Procedures ................................................................................................ 27

3.6 Data Analysis Methods ............................................................................................ 29

3.7 Chapter Summary .................................................................................................... 29

CHAPTER FOUR ............................................................................................................ 30

4.0 RESULTS AND FINDINGS ..................................................................................... 30

4.1 Introduction .............................................................................................................. 30

4.2 Response Rate and Demographic Information ........................................................ 30

4.3 Training Intervention and Performance of SMEs .................................................... 34

4.4 Marketing Skills Intervention and Performance of SMEs ....................................... 37

4.5 Access to Finance Skills and Performance of SMEs ............................................... 41

4.6 Chapter Summary .................................................................................................... 44

CHAPTER FIVE ............................................................................................................. 45

5.0 DISCUSSION, CONCLUSION AND RECOMMENDATION ............................. 45

5.1 Introduction .............................................................................................................. 45

5.2 Summary .................................................................................................................. 45

5.3. Discussions ............................................................................................................. 47

5.4. Conclusion .............................................................................................................. 52

5.5 Recommendations .................................................................................................... 54

REFERENCES ................................................................................................................. 56

APPENDICES .................................................................................................................. 75

Appendix I: Questionnaire ............................................................................................. 75

Appendix II: NACOSTI ................................................................................................. 80

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LIST OF TABLES

Table 4.1: Response ........................................................................................................... 30

Table 4.2: Descriptive on Variables of Training Intervention ........................................... 35

Table 4.3: Correlations analysis for Variable of Training Intervention ............................. 35

Table 4.4: Model Summary for Variable of Training Intervention and SMEs

performance ....................................................................................................................... 36

Table 4.5: ANOVA for Variable of Training Intervention and SMEs .............................. 36

Table 4.6: Coefficients for training intervention and performance of SMEs ................... 37

Table 4.7. Coefficients for training intervention and performance of SMEs ............. Error!

Bookmark not defined.

Table 4.8: Descriptive on Variables of Marketing Skills intervention and SMEs

Performance ....................................................................................................................... 38

Table 4.9: Correlation analysis for Marketing Skills intervention. ................................... 39

Table 4.10: Model Summary for Variable of Marketing Skills intervention and SMEs

performance ....................................................................................................................... 39

Table 4.11: ANOVA for Marketing Skills intervention and SMEs performance ............. 40

Table 4.12: Coefficients for Marketing Skills intervention and SMEs performance ........ 40

Table 4.13: Descriptive on Variables of Access to Finance Skills and SMEs Financial

Performance ....................................................................................................................... 41

Table 4.14: Correlation analysis for access to finance Skills intervention ........................ 42

Table 4.15: ANOVA for Access to Finance Skills and SMEs Financial Performance ..... 43

Table 4.16: Coefficients for Access to Finance Skills and SMEs Financial Performance 44

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LIST OF FIGURES

Figure 4.1: Gender ............................................................................................................. 30

Figure 4.2. Education ......................................................................................................... 31

Figure 4.3: Age .................................................................................................................. 31

Figure 4.4: Years in Business ............................................................................................ 32

Figure 4.5: Nature of Business........................................................................................... 32

Figure 4.6: Number of Employees ..................................................................................... 33

Figure 4.7: Management Level .......................................................................................... 34

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LIST OF ABBREVIATIONS

ANOVA: Analysis of Variance

GDP: Gross Domestic Product

GOK: Government of Kenya

EU: European Union

ILO: International Labor Organization

KEBS: Kenya National Bureau of Statistics

MSE: Micro and Small Enterprises

SME: Small and Medium Enterprises

SMEDAN: Small and Medium Enterprises Development Agency of Nigeria

SPSS: Statistical Package for Social Sciences

TVET: Technical and Vocational Education and Training

UHP: Urban Housing Permits

UK: United Kingdom

US: United States

USIU: United States International University

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CHAPTER ONE

1.0. INTRODUCTION

1.1. Background of the Study

Globalization has brought wild competition to various organizations, remotely. Business

performance has turned into an important problem for researchers and practitioners given

the intense rivalry and often showing signs of change in economic and business situations.

Hence, researchers as well as market experts were concerned with identifying the

precursors of business success. However, research has clearly shown that most SMEs

globally do not participate in strategic decision-taking when making investments (O'Regan,

& Ghobadian, 2012). This is at odds with much of the strategy literature that dictates that

enterprises must actively plan for the future to compete effectively and survive (Noble,

2010).

Accordingly, owner-managers of SMEs have been accused of being strategically short-

sighted and lacking the long-term vision as to where their enterprise will be investing in

(Robson, 2014). The concern is that by neglecting strategic investment decisions, SMEs

might not achieve their full potential for success and growth, and their survival may be

placed at risk (Rhodes & Keogan, 2015). SMEs can be described as small and medium-

sized enterprises or units engaged in small-scale business projects whose turnover rate is

low. People, family, that own small and medium-sized enterprises or a group of people who

have come together, pooled their resources to start the business venture (Sathe, 2015).

Strategic interventions are business policies which are responsible for a company's progress

towards its target. Strategic measures, according to Zhou, Gao, Yang and Zhou (2015), are

the strategic approach the organization follows in developing the right actions to achieve

superior results. Grinstein (2016) states that strategies are composed of three dimensions:

business, learning and capacity to execute them. Those dimensions have a positive effect

on the performance of the company. Guduru and Chandra (2016) describe strategic

interventions as organizational change in different aspects such as employees, technologies,

product and so on by focusing on organization interaction with the external environment.

Organizational success contributes to an organization's overall competitiveness in terms of

stock turnover, consumers, profitability and market share. Organizational performance can

be classified into financial measures and non-financial measures that allow managers to

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make decisions that reflect market conditions, not only on financials but also on other

measures (Atkinson & Brown, 2001).

The current literature shows that several prior studies have used strategic approaches to

describe the success of small and medium-sized enterprises (SMEs) (Worlu, Olokundun,

Akinbode, Augusta & Inelo, 2016). Hakala and Kohtamaki (2011) pointed out that,

combined with other factors; the impact of interventions on results was examined

individually or as a single intervention. Strategic measures have been regarded as important

and specific organizational tools for an organization while offering competitive advantage

when successfully implemented (Hoq & Chauhan, 2011). Worlu et al. (2016) contend that

lack of capital and skills in small and medium-sized companies is an obstruction for them

to develop their own markets and use the expertise, economies of scale and scope for

competitive advantage. Recent research results have concluded that interrelationships

between different strategic approaches offer a sustainable competitive advantage for

organizations and companies that tend to perform better in managing multiple strategic

orientations (Hult, Hurley & Knight, 2004).

Experiences from developing countries indicate that the role of small and medium-sized

enterprises in the economy has increased in recent years and that the majority of enterprises

have been ranked more than 95 per cent in the SME group (Ayyagari et al., 2011).

Especially after the recent economic crisis that started in 2008, experience has shown that

small and medium-sized businesses have been able to adapt to the crisis challenges faster

and more flexibly than large companies have and indeed have succeeded in surviving and

prospering. Keeping this in mind, many developed countries have developed various kinds

of non-financial and monetary incentive frameworks designed to enhance the weight of

SMEs in different sectors. An economist, Bayramov, Hasanov, Aghayarli, Kadyrov,

Aghahasanli and Isayev (2017) studied small businesses in the US and Europe and noticed

a growing increase in their value since the 1980s. US General Motors, for example, uses

around 37,000 SMEs for subassembly and other facilities. Such activities are practiced not

only by American, but also by European firms, with one Italian firm, Benetton, conducting

around 95 per cent of production by subcontracting to SMEs (Bayramov et al., 2017).

Lukacs (2015) argued that SMEs are the foundation of the British economy as a whole,

responsible for more than half of United Kingdom (UK) trade turnover. The share of SMEs

in total companies in Romania is 99.47 percent and 98 percent of these SMEs are private

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owners (Statistical Yearbook, 2015). SMEs benefit not only individual European countries

but the economy of the European Union (EU) as a whole; SMEs in Europe are the first to

produce income, creativity, jobs and entrepreneurial skills. According to the Annual Report

on the situation of SMEs in the EU in 2012, out of the 20 million businesses that were

currently registered in the EU, more than 99.8% were SMEs and a vast majority of which,

92% to be exact, consisted of enterprises having less than 10 employees (Bayramov et al.,

2017).

In advanced industrialized countries, SMEs embody an integral source of economic growth,

dynamism and flexibility, just as they do in developing ones, while playing an important

role in the development. In a study that took into account 132 countries, 125 million SMEs

and 71.2 per cent (89 million) of them were located in developing countries (Kushnir,

Mirmulstein & Ramalho, 2015). Among many factors, SMEs are of vital significance to

emerging economies. First, they can deliver economic benefits beyond the boundaries of

the individual enterprise; namely, they promote experimentation, learning and adaptability.

These skills are especially important for countries, which were formerly part of centrally

planned systems. Additionally, SMEs decrease the erosion of human capital by opening

new alternative employment opportunities for relatively skilled, unemployed workers

((Bayramov et al., 2017).

Ninety percent of businesses are independent ventures in developing countries such as

Indonesia, the Philippines, Thailand, Hong Kong, Japan, Korea, India and Sri Lanka; in

addition, small businesses provide jobs for 98 percent of those working in Indonesia, 78

percent in Thailand, 81 percent in Japan and 87 percent in Bangladesh. Not only in Asia,

but also in developing African countries, the activities of SMEs are critical, especially for

promoting economic development, job creation and poverty eradication (Aryeetey &

Fenny, 2007). The performance of SMEs in Africa currently falls below the desired. SMEs

in Africa’s contribution to the respective national Gross Domestic Product (GDP) is

contended to be weak for different reasons. It includes lack of foundation / money-related

funding for organizations operating within the various segments; restricted use of

advancement to operations within the section, and unfavorable competition from local

businesses and organizations (Ndumanya, 2013).

Fabricating efficient technique is therefore vital to every small and medium-sized company,

because it empowers it to gain and retain an upper hand (Bangudu, 2013). Consequently,

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to survive, firms require a mix of different systems that are suitable for fast natural changes;

thus, scientists have utilized different variables to speak to a company’s key exercises that

are alluded to as key orientation (Weinzimmer, Robin & Michel, 2012).

If SMEs are crucial to job creation and economic development on the African continent has

long been debated (Muathe, Wawire & Ofafa, 2013). For countries such as South Africa,

there is a high unemployment rate of about 40 percent; however, for South Africa, 90

percent of all formal enterprises are SMEs (Ayandibu & Houghton, 2017). The SME

market is one of South Africa's major contributors to the economy (Watson, 2013). In

Ghana, small and medium-sized enterprises insinuated that they have 6 to 97 specialists

and have no more than Ghana Cedi (2.5 billion) of settled assets (despite zone and

structures). In Cameroon, SMEs are described as firms that have turnover estimation of no

less than 1 billion Cameroon Franc. In Nigeria SMEs are depicted as the business that

utilization under 200 workers and have under 500 million Naira worth of complete

resources, aside from land and building (SMEDAN, 2012).

As regards East African countries such as Uganda, Tanzania and Rwanda, the lack of

strategic access to venture capital participation, technical know-how and commercial

linkages are among the broader challenges facing developed SMEs. Martin (2014) observes

that the secret of success to winning in the new economy is to manage cultural diversity

with information, intelligence, and a critical and demanding attitude, patience and, above

all, a great deal of respect for and understanding of others' culture. However, despite this

growth in Microfinance, recent studies like that of Bowen and Makarius (2009) shows that

over 50% SMEs continue to have a deteriorating performance with 3 in every 5 SMEs

falling within the months of establishment.

The importance of Kenya's SME sector was first recognized in the 1972 report of the

International Labor Organization (ILO) (Muathe, 2010). According to International Trade

Centre (2019) the SME subsector plays a significant role in the economic structure of

Kenya, where nearly 80 percent of Kenya's total labor force has been employed by the

sector. Although the SMEs subsector accounts for nearly 80 per cent of jobs, it only

contributes to around 20 per cent of the country’s GDP. This implies dismal subsector

performance despite its potential contribution to employment, income and equity as was

asserted in the International Labor Organization (ILO) report in 1972. The paltry

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performance of the SMEs in Kenya is linked to several constraints among which the

regulatory and institutional framework is alleged to be one of the factors (Karami, 2015).

Attempts to tackle SME growth in Kenya can be expressed in the current 2010 Kenya

constitution, where devolution was incorporated as a key tool in promoting initiatives for

Local Economic Development (Benneworth & Roberts, 2012; Tawane & Muathe, 2019).

It is anticipated that the devolution instruments will impact the main drivers of the SME-

related economy which needs a local based SME policy embedded in the devolution

structure. Yet the policy structure for fostering SMEs' local economic growth has long been

tied to broader national policies, with little focus on state-led development strategies (GOK,

2014).

The Centonomy Entrepreneur is an online 14 week program that helps small and medium-

sized businesses creates a great business. The system ensures that big business is not

characterized purely by their scale, market, or popularity, but by the effect they have on the

creator, staff, consumers, and society as well as the culture they create; where people work

because they like, not because they need to. In fact, Centonomy Limited helps small and

medium-sized businesses significantly generate wealth by providing the proper structures

and turning innovations into great resources, goods and services.

1.2 Statement of the Problem

Problems related to SME development are diverse. As a result, owner managers are

increasingly venturing into SMEs as sole proprietors or partners to diversify risk, build

business synergies and shape alliances that can support and lobby government for a better

market climate (ILO, 2015). In Kenya, small and medium-sized enterprises are constantly

burdened by the lack of easily available credit, restricted exposure to international markets,

lack of added value to their goods and lack of entrepreneurial skills to profitably expand

their companies. As a result, small and medium-sized companies in Kenya were reduced to

becoming active in the informal sector. According to Ramsden (2013), SMEs thrive in an

environment that supports business growth, where the regulatory regime is transparent and

decisions are made consistently to favor growth.

According to the Kenya National Bureau of Statistics (KNBS) (2013), during the first two

years of service three out of every five SMEs in Kenya shut down. Along with other private

and public organizations, the government has recognized that the country's economic

development is crucial when investing in the SME market. As a result, these bodies have

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consistently encouraged people to be creative and set up small businesses in a step towards

job creation opportunities. It will curb the high unemployment rates and feed inventive and

imaginative SME owner managers. Research studies have been conducted to combat the

situation, with a focus on SME growth. Lerner, Brush and Hisrich (1997) conducted a study

to determine the individual factors that affect the success of micro and small enterprises

(MSEs) owned by females. The research classified factors affecting SMEs performance

into five perspectives. These include goals and priorities, entrepreneurial socialization,

connection to the network, human resources and environmental factors. The results of this

study showed very little correlation between individual factors and MSE efficiency. The

research recommended the need for a broad study to be undertaken in future on the

influence of financial access, entrepreneurial competencies, and strategic positioning as the

ideal growth factors of SMEs instead of SMEs.

Kinyua (2014) conducted another study to establish factors affecting the performance of

micro, small and medium-sized enterprises (SMEs) in Nakuru town's Jua Kali sector. The

study findings were on performance and included factors such as management skills,

macro-environment, and access to knowledge on the sector. The research focused not on

SMEs but rather on SMEs. The analysis did not concentrate on policy but dwelt on results

instead. The researcher proposed that more work on SME intervention approaches, rather

than MSEs, should be carried out. The researcher challenged future scholars to dwell their

research on growth factors influencing SMEs such as financial resources access,

entrepreneurial competence and positioning as a strategy in order to obtain credible and

conclusive findings.

Mugo (2014) explores the factors affecting women entrepreneurs in the development of

SMEs in the city of Nairobi. The study revealed variables such as lack of entrepreneurial

training and education, outdated technology, lack of finance, lack of proper management

of resources and lack of adequate management skills. The study outlined lack of finance as

the main problem affecting the growth of SMEs among women entrepreneurs. The study

focused on women-owned businesses rather than generally looking at all entrepreneurs

regardless of gender. The study greatly recommended the need for future researchers and

academicians to conduct further studies on critical factors influencing the growth of SMEs

in Kenya such as positioning, credit access, and entrepreneurial competencies in order to

obtain conclusive findings.

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The strategic interventions inside SMEs are little known. Past work on strategic

interventions has concentrated on major multinational corporations (Beaver, 2013). Such

mechanisms are often complex, involve numerous players and sometimes arise from

politics (Kelmar & Noy, 2010). Although strategic interventions have been well established

in large companies around the world, academic researchers have not thoroughly examined

the impact of strategic interventions on SME results. Hence, it is on this background that

the study aimed to fill the gap in literature by providing new empirical evidence on the

effects of strategic interventions in the performance of SMEs in Kenya with specific

consideration of Centonomy Limited.

1.3. General Objective

The general objective of the study was to investigate strategic interventions and

performance of small and medium enterprises in Nairobi City County, Kenya: a case of

Centonomy Limited.

1.4. Specific Objectives

1.4.1. To establish the effect of organization training intervention and performance of

SMEs

1.4.2. To investigate the effect of marketing skills intervention and performance of SMEs

1.4.3. To determine the effect of access to finance skills intervention and performance of

SMEs

1.5 Significance of the Study

1.5.1 SMEs Owners/Managers

The study results would include an in-depth analysis of the effect of strategic intervention

on the performance of SMEs at Centonomy Entrepreneur in Kenya, thereby giving SME

owners a better understanding of how these factors affect their companies. It will allow

these owners / managers to improve the performance of their businesses by leveraging on

entrepreneurial orientation, market orientation and learning orientation.

1.5.2. Government of Kenya

The Kenyan Ministry of Trade operates many loan programs designed to support the

country's SMEs. Therefore, the target group for their schemes is not usually trained in

business, this study may be important to them as it provides them with information on how

to manage the different SMEs. It also provides them with a training tool to promote how

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they can operate their company in a more efficient way for their beneficiaries. In exchange,

this may help them achieve a lower default rate for the companies they lend loans to. In

addition, the study can assist the ministry in developing policies that can help it run SMEs

in the country. There has been very little research in this area of strategic planning, yet it

may positively influence many businesses.

1.5.3 Scholars

This study serves as a reference tool for researchers interested in the implementation of

strategic management process in SMEs, not only in Nairobi but also in other African

countries. There has been little research and literature on strategic interventions as a

concept of management in Kenya and especially in regards to SMEs.

1.6 Scope of the Study

The scope of this study covered only SMEs operating in Nairobi City County, Kenya and

its environs with specific case of business owners who have gone through the Centonomy

Entrepreneur training program. The study targeted both small and medium enterprises in

the financial, manufacturing, service and technology industries. The study used the cross-

sectional study. This means that the researcher recorded information about their subjects

without manipulating the study environment. The research was carried out as from July

2020 to September 2020.

The researcher encountered some limitations in the course of the research in terms of data

access limitations where the information held by some business owners was considered

sensitive and was not easily available. This was mitigated by assuring the respondents of

anonymity and confidentiality, together with an official letter from the institution United

States International University – Africa (USIU-A), which affirmed the purpose of the study.

1.7 Definition of Terms

1.7.1 Small and Medium Enterprises (SMEs)

These SMEs or units engage in small-scale business ventures of which their turnover rate

is small. An individual, family or group of people who have come together pooled their

resources to start the business venture may own small and medium sized enterprises. Small

and medium-sized enterprises' capital base is limited due to their inability to access funding

from financial institutions that put in place a strict regulation that shut down most SMEs

(Noble, 2010; Muathe, 2010).

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1.7.2 Strategy

These are approaches, tactics, process adjustments and realignment of organizational

objectives that are intended to give an organization a competitive edge in the market

(Lynch, 2017).

1.7.3 Training Strategy

Training strategy scale measures the tendency or habit of seeking to increase one’s

knowledge and skills; toward valuing the learning process as a means to accomplish

mastery over a task; toward being interested in challenging activities; and toward using

information seeking as a personal strategy when problem solving (Keskin, 2012).

1.7.4 Market Strategy

Market strategy is a company philosophy focused on discovering and meeting the needs

and desires of its customers through its product mix (Jaworski & Kohli, 1993).

1.7.5 Organizational Performance

The organizational performance concerns the accepted metrics in determining the health

and responsiveness of a hotel with respect to customer service delivery, financial status,

and regulatory compliance (Robson, 2014).

1.8 Chapter Summary

Chapter one presents the background information on strategic interventions on SMEs. The

chapter also outlined the specific objectives of this research, the significance of the study,

importance and the scope of the study as well as the working definitions of specific terms

used in the project. Chapter two focusses on the literature review of the study. Chapter three

discusses the research methodology. The chapter delves into the research design, the target

population of the study, the sampling design as well as the data collection procedure and

data analysis techniques. Chapter four delves with the analysis of the findings and Chapter

discusses the results, relevant conclusions and recommendations.

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CHAPTER TWO

2.0 LITERATURE REVIEW

2.1 Introduction

This chapter gives the various relevant literature reviews that have been done by scholars

and academicians in line with strategic interventions and performance of small and medium

enterprises in Nairobi City County, Kenya and across other countries in the world. Each of

the factors elaborated on represents a specific objective of the study. It borrows heavily

from past similar studies that have been conducted in various countries in the recent past.

2.2 Training Intervention and Performance of SMEs

Several studies indicate that the organizational training approach impacts company results

positively and substantially (Baker & Sinkula, 2015; Martinette & Obenchain-Leeson,

2015). Some studies show the indirect effects on business performance of an organization's

training strategy. Calantone, Cavusgil and Zhao (2015) argue that the organization-training

approach directly and indirectly improves organizational efficiency through its impact on

competitive advantage. Innovativeness mediates the relationship between the plan and

success for organizational training (Nybakk, 2014).

Mungai (2012) states that the success of entrepreneurs’ development and management in

any enterprise depends on its capacity to develop human resources through training, ability

to start a business, create jobs, products and services that can compete in the global market.

Manimala and Kumar (2012), state that strengthening the internal capabilities of SMEs has

become a top priority nowadays and is positioned as an alternative or supplementary

strategy for SME development. Training is recognized as an important tool for developing

the internal capabilities of SMEs. A study by Afolabi (2012) found a very strong

relationship between training in business and the help it could have in the success of SMEs.

Some qualitative and quantitative research, such as (Phromket, 2014; Vij & Sharma, 2014)

show that the training strategy for organizations promotes creativity that improves results.

Similarly, preceding studies concentrate on one step of the organizational training strategy

or one form of innovation, primarily product or process innovation (Boh & Wong, 2013).

Vij and Sharma (2014), for example, consider a positive relationship between information

gain and product innovation. Ranyane (2014) in a study of a relationship between business

performance and level of training in 70 micro-enterprises in Nigeria, revealed that 49% of

the 51% of participants who had received training in their areas of business were doing well

11

in business, while 60% of the participants who were not trained reported that their

businesses were poorly performing. While the above-mentioned studies concentrate on

different aspects of the relationship between organizational learning and creativity, the

majority of them consider a positive relationship.

2.2.1 Commitment to Training

Organizations' contribution to training is the sum that an organization finds training worthy

of, and thereby aims not only to facilitate the learning process but also to build and improve

an organizational learning environment (Pearce & Ensley, 2014). In reality, training is

taken as an essential expenditure for some organizations which is required for

organizational maintenance (Sales & Savage, 2015). Therefore, the more important that an

organization views training as, the more likely it would be for that organization to have

access to this phase (Pearce & Ensley, 2014).

Through expertise and ability to consider and anticipate consumer desires, the organization

dedicated to training does not in any way miss the opportunities generated on the market.

Therefore, the company dedicated to learning will improve its potential to innovate due to

its dedication to innovation and its willingness to deliver and use technology in innovation,

thereby being more capable of innovation compared with its rivals (Pearce & Ensley, 2014).

2.2.2 Shared Vision

Shared vision in training helps to keep all staff focused on one target. One can describe

shared vision simply as the answer to the question "What do we want to create?” Just as

the pictures and images that people hold in their minds are personal dreams, so is mutual

perception of the images that workers carry in their mind. Such pictures create a sense of

uniformity. Shared vision is a mechanism which the team members form and shape

(Phromket, 2014). The most important goal of the leaders of the twentieth century is seen

as common vision. Pearce and Ensley (2014) describe shared vision as a specific mental

model of the team's future state, or its tasks, which provides the basis for team action.

Another definition indicates that mutual vision is the concepts, vocabulary, culture, and

norms common to group members and organizational units, which regulates members' acts,

decisions, which behaviors (Colakoglu, 2012). Organizations that are guided by a shared

vision focuses the energies of organizational members on creating superior value for

customers (Slater & Narver, 1995)

12

Shared vision is based on the idea that an organization’s goal and destiny are unique. A

declaration of purpose articulates its goal and offers a beacon of guidance for strategic

action (Nybakk, 2012). However, frequently a typical vision is based on head of

unexplored, unstated suppositions about the present and what's to come. If company leaders

can't focus on present reality, they can't transition to a desirable future. Sales and Savage

(2015) state that a shared vision is frequently built on top of unexplored, unarticulated

assumptions about the present and the future. If members of an organization cannot agree

on current reality, they cannot move towards a desired future (Sales & Savage, 2015).

According to Phromket (2014), mutual vision can only be created if the world is accurately

understood and the person correctly perceives his own consciousness and the knowledge

of others. It is harder to create shared vision in public institutions than in private institutions.

The reasons for these are factors such as the difficulty of predicting the aims of the

governments, the differences among the governments in terms of obtaining using political

power and the conflict among political parties (Boh & Wong, 2013).

2.2.3 Open-Mindedness

Open-mindedness refers to the objective appraisal of the everyday activities of the

organization, and the adoption of new ideas. In other words, processes by which

organization begins to remove existing knowledge or repetitive hypotheses and habits

(Eshlaghy & Maatofi, 2015). It is because the current information can act as a fundamental

obstacle to holding organization away from the vision and processes needed for innovation

and transformation (Laverie, Madhavaram & McDonald, 2016). In other words, preceding

instruction stops new learning happening in the company. Therefore, as far as innovation

is concerned, firms are unable to get prominent unless they follow this attitude, although

they may seek for other methods for maintenance (Vij & Sharma, 2014).

Therefore, open-mindedness is the willingness to actively search for evidence against one's

favored beliefs, plans, or objectives, and to weigh such evidence fairly when available.

While common approaches to problems and their solutions may have been effective in the

past, in the future they may not be as important. Open-mindedness promotes a desire to

challenge existing thought and action, receptiveness to new possibilities, exchange of ideas

and considering different viewpoints (Martinette & Obenchain-Leeson, 2012). Therefore,

fostering a culture of open-mindedness is more likely to lead to challenging long-held

practices and beliefs, and promoting sharing of strategic knowledge among decision-

makers (Day, 1994). Martinette and Obenchain-Leeson (2012) who state that Open-

13

mindedness encourages a willingness to question current thinking and practice,

receptiveness to emerging possibilities, the sharing of ideas and the consideration of

differing perspectives Therefore, the creation of an open-mindedness culture is more likely

to result in the questioning of long-held practices and beliefs and encourage the sharing of

strategic information among decision-makers.

The philosophy of open-mindedness has at its heart an effort to re-orientate organizational

beliefs, expectations and/or attitudes by modifying cognitive constructs (Nybakk, 2012),

conceptual models (Day, 2015), dominant logics, and key behavior-guiding assumptions.

If so, the culture's contribution is linked to its ability to prepare ground for the emergence

of new knowledge (Laverie, Madhavaram & McDonald, 2016).

2.2.4 Organizational Knowledge Sharing

Organizational knowledge transfer refers to the mechanism by which organizational actors

- teams, groups, or organizations - share, obtain, and are informed by others' experience

and expertise (Sales & Savage, 2015). Because the transition of organizational information

involves the incorporation of distinct information, it expresses itself through changes in the

knowledge bases or recipient output (Ajmal, Keka & Takala 2014). The transition of

organizational knowledge from internal as well as external sources has significant

consequences for organizational efficiency and innovation. Prior research supports a

positive relationship between organizational knowledge transfer and performance (Lien,

Hung & McLean, 2014). Transferring knowledge contributes to the development of

organizational capabilities that are difficult to imitate, and subsequently leads to enhanced

performance (Sales & Savage, 2015). Management involves employees frequently to

discuss new developments and they realize the importance of accepting diverse viewpoints

(Ajmal, Keka & Takala, 2014).

Keskin (2012) found that the output improved as the joint venture partners gained and

assimilated new external expertise. Likewise, companies that can learn about consumers,

rivals, and regulators have a greater chance of sensing and tailoring their goods and services

to changing needs (Day, 2015). Therefore the transition of organizational information was

correlated with higher levels of efficiency.

Organizational knowledge transfer helps a company to produce fresh ideas for the creation

of new goods (Pearce & Ensley, 2014), as it promotes the combination of current and newly

acquired expertise and enhances the capacity of a unit to create new ties and connections.

14

Moreover, the accumulation of knowledge not only allows the efficient use of related

knowledge but also allows organizations to better understand and assess the nature and

commercial potential of technological advances (Chaveerug & Ussahawanitchakit, 2016).

Prior work indicates therefore that the diffusion of organizational expertise enhances

innovativeness.

2.3. Market intervention and Performance of SMEs

A dominant position among experts in market strategy is that the degree of market strategy

of the company has a positive impact on business performance (Rojas-Mendez, Kara &

Spillan, 2012), especially on revenue, market share and profitability. Recent studies have

offered empirical evidence for positive business strategy implementation impacts on

perceived customer service, consumer retention and loyalty, as well as employees (Dauda,

2016). Business strategy is also essential to the success of a company as it promotes and

facilitates the production of new products to meet current and potential customer needs.

Nonetheless, a number of authors on the concept have questioned the existence of a positive

relationship between market intervention and business performance. Olavarrieta and

Friedmann (2016) findings showed that there was no relation between market intervention

and a firm’s actual market share. This was also supported by Greenley (2015) that found

existence of no relationship between market intervention and business performance.

Therefore, a related empirical study should be conducted in Kenya to validate the

aforementioned correlations between market intervention and business performance.

2.3.1 Customer Orientation

Day (2015) defines customer orientation as superior comprehensive and customer

satisfaction skills. Transforms marketing into a powerful strategic arsenal, transforming

corporate principles, opinions, expectations, and premises to a two-way customer-company

relationship. Customer orientation has to do with the culture of placing customer’s interest

first and requires a thorough understanding of client needs so as to fashion products or

services of superior value (Lansiluoto, Joensuu‐Salo, Varamaki, Viljamaa & Sorama,

2019). Slater and Narver (1990) describe consumer orientation as an adequate awareness

of one's target customers in order to constantly establish superior value for them. However,

it also allows a seller to consider the entire value chain of a customer, not just as it is today,

but also as it may change over time, subject to fluctuations within the internal market.

Customer orientation is greatly important to make the firms effort to understand the market

15

place, develop appropriate product, and service strategies to meet customer needs and

demands that interpret into performance (Langerak, Hultink & Robben, 2014).

Therefore, to achieve the highest level of performance and to maintain firms’ long term

capacity and create a mutually beneficial relationship with the customer, market orientation

should be at the heart of organization. Customer orientation is commonly seen as an aspect

of firm’s strategic means of delivering desires value to clients (Zhou et al., 2015). The main

aim of customer orientation is to lay a solid foundation of gaining information concerning

current and future clients for strategic actions based on sufficient information provided by

customer (Slater & Narver, 1990). Customer orientation must therefore not be relegated to

the background since it will help in delivering value to customers Benson, Saraph and

Schroeder (2016) found out a relationship between market orientation and market

performance. Asikhia (2010) found a significant and positive relationship between

customer orientation and SMEs performance in Nigeria.

Deshpandé, Farley and Webster, (1993) emphasized on the significance of Customer

orientation as a driver of long-term profits for organizations. Customer orientation is a

salient strategy for small firms as a medium of competitive advantage to make them

separable from bigger firms (Brockman, Jones & Becherer, 2012). SMEs firms tend to be

closer to their customers to meet-up their demands and can easily process the customer

intelligence data because of their spatial proximity (Maurya, Mishra, Anand & Kumar,

2015). Pekovic and Rolland (2012) found positive impact of sales people customer

orientation on organizational performance.

Miller (2015) also indicated that designing and enforcing customer orientation would be

the driving force for corporate market place. This position is supported by Verhoef and

Leeflang (2017) who confirm a significant relationship between a firm's customer

orientation and its financial and market performances. Thus, it is believed that a customer-

oriented company places the customer at the center of the operation and sees the customer

as having their reason to be in business and as such goods and services to meet their

customer's needs (Hurley & Hult, 2016). Customers are also likely to tend to support the

product or service that is borne out of their needs interpreting into sales growth and

performance of the firm (Boso & Cadogan, 2015).

16

2.3.2 Competitor Orientation

Businesses need to recognize vulnerabilities and strengths as well as rivals' capacities and

practices in order to understand their market share. Slater and Narver (2015) who state that

for businesses to realize its market share, it is required of to know weaknesses and strength

as well as capabilities and activities of competitors. Data obtained about rivals lets the

company reposition its bid to plan for the entity's potential survival (Slater & Narver, 2015).

Competitor orientation as part of the market strategy is seen as an organizational strategy

that ends up creating business behavior that improves on the products that they deliver to

clients. It's important to know that rivals are going to sit up worried but are competing for

the same category of customers. Businesses must therefore seek intelligence about their

competitors in order to improve on their service delivery (Tomaskova, 2014). Those

contenders of the business are viewed as ventures that are giving substitute item by serving

similar need of clients (Kotler, 2009)

Competitor-oriented company is a company which regulates practices and activities used

to influence competitors' behavior and reactions (Miller, 2015). In such a case, an

organization that has taken competitor orientation focuses its energy on more critical

aspects of competitor and consumer trends, and tries to identify measures that can be

implemented against them. Often businesses are designed based on their strategic strengths

and weaknesses and a study of rival approaches (Hurley & Hult, 2016). If a company has

competitor focus, the management is continually re-evaluating their competitors ' strengths

and weaknesses. They revise regularly their capabilities to others in terms of skills and

knowledge based on people, technical and physical systems, managerial systems,

organizational structures, values and cultural norms (Bircall & Tovstiga, 2005).

The aim of competitor orientation is to provide a strong basis of intelligence for strategic

action with regard to current and future competitors. Such business competitors are seen as

companies which provide substitute products by serving the same consumer needs (Tse,

Leo, Yau, Lee & Chow, 2013). The present and potential rivals are located in companies

with an unusual or non-peculiar model for production technology. These called for an

insight into what rivals are doing to help influence the dynamics of the firm's operations

(Tay & Tay, 2014). Successful firms after some time are the ones that take part in more

elevated levels of innovative movement (Hussain et al., 2015), firms that attempt to bring

out more innovations are more likely to succeed (Boso & Cadogan, 2013), innovativeness

is a source of competitive advantage (Agrawal et al. 2003), and innovation and corporate

17

entrepreneurship leads to superior performance (Agrawal et al. 2003). Competitor-

orientation breeds innovation and new products (Augusto & Colho, 2009).

2.3.3 Inter-Functional Coordination

Inter-functional cooperation refers to the degree to which the different functions

/departments within the organization cooperate (Tay & Tay, 2014). It is the integration of

all the organizational and operational functions of consumer and business knowledge to

create value for the customer. When there exists a coordinated maximization of the firm’s

resources that aims at performing better in the eyes of the customer, it is seen as the

organization practicing inter-functional coordination (Boso & Cadogan, 2013). There is

subsequently a need to between practical facilitate the exercises that are worried about the

everyday administration of the business so as to help acknowledged to possibilities of the

business in augmenting its performance.

Tse et al. (2013) claim that inter-functional collaboration is the sharing of customer and

competitor knowledge across all parts of staff and organizations in order to provide a clear

interpretation of the customer's needs and desires, and to prepare to address competition.

They divided inter-functional coordination into four parts: functional integration into

strategy, shared information among functions, distribution of knowledge and coordination

between all units to establish value for the customer (Tse et al., 2013). Therefore, inter-

functional cooperation can be seen as the harmonization of all internal roles and processes

within a company. It consists of two parts: Business culture and management of

information (Tay & Tay, 2014).

Slater and Narver (1995) recognized inter-functional collaboration as an obstacle to

business strategy execution. The obstacles relevant to organizational culture are those of

systemic, institutional, administrative, and contact. Within an organization it is critical to

have no flaws in a program, structure, procedure or communication. Certain obstacles such

as unnecessary centralization, formalization or departmentalization can also arise (Hurley

& Hult, 2016). The second inter-functional communication barrier is related to the

communication of the information. Gaining knowledge, evaluating it, and then using the

findings in a company's decision process is critical (Tomaskova & Kopfova, 2014).

Inter-functional coordination is targeted at the internal context; however, inter-functional

coordination effects are also related to the local, external and branch system (Tay & Tay,

2014). Management has strong effect on inter-functional cooperation and staff according

18

to Tomaskova and Kopfova (2014). Improving management style leads to better co-

ordination between roles. Improvements in internal procedures become noticeable within a

limited period of time. Employees will detect changes very quickly. Branch and external

environmental changes require more time (Tomaskova & Kopfova, 2014).

Inter-functional collaboration acknowledges that the attitude of employees towards internal

and external customers is important to all departments as well as to employees. Coordinated

resource management is closely linked to client and rival, as they facilitate department-

wide customer engagement (Slater & Narver, 1990). Therefore, the activities related to the

day-to-day management of the business need to be inter-coordinated in order to help realize

the business' potential in maximizing its performance (Langerak, Hultink & Robben, 2014).

2.4 Access to Finance Skills and Performance of SMEs

This section addresses the access to finance and its influence on the financial performance

of SMEs. Family, friends and close business associates have been one of the primary

sources of capital. They have played a critical role in ensuring entrepreneurs can start and

even expand their companies. This is the principal financial source in Kenya and other

developing countries (Mwarari & Ngugi, 2013). The range of capital is raising options from

family and friends ranges from business founders tapping their own credit worthiness or

resources (savings, home equity or credit cards) to relatives or a trusted business partner

stepping up with the seed money needed to start the business. Generally, this type of capital

tends to be for lower financial value in terms of and usually taken in form of equity or part

ownership rather than a debt due to the uncertainty of growth of the business (Wolf, 2015).

2.4.1 Access to Business Capital

Business capital is the prerequisite for development, while growing its quality and

competitiveness is a critical factor in ensuring growth for SMEs and the rates of poverty

(Msoka, 2013). Even where microfinance institutions have come in to tackle the issue of

credit access, they have focused heavily on poverty reduction, instead of SME creation and

growth. Therefore their loan sizes appeared to be too small for growth support (Stevenson

& St-Onge, 2015). On the subject of supporting and investing in innovation, in addition to

the challenges mentioned, SMEs are starved for finance to support innovation even when

they have sound business and expansion plans worthy of investment, as they are considered

risky because their innovative business ideas have not been tried and tested (Kiraka, Kobia

& Katwalo, 2015).

19

Therefore, small and medium-sized companies find themselves in a vicious cycle of

delivering what is already on the market and unable to develop and expand to realize their

full potential because they lack both capital and business support resources to move into

unexplored business concepts (Aikaeli, 2014). Different financial sources as well as other

types of support are required for potential owner managers to create and expand start-up

SMEs and not just the current SMEs to turn them into tomorrow's biggest company

(Nieman, 2014). These budding entrepreneurs will thrive in the business environment by

coming up with innovative ideas to improve products and services to reach an increasingly

demanding market instead of relocating past business models (Kiraka, Kobia & Katwalo,

2015).

The new Global Financial Development Report from the World Bank (World Bank, 2015)

once again stressed the scarcity of both financial resources and business-related expertise

as primary impediments to firm development in developing countries. Failure to access

credit, however, is a major challenge for those SMEs who wish to extend their operating

activities (Gichuki, Njeru, & Tirimba, 2014). The reasons for this are well known, including

high cost of repayment, strict collateral requirements, unwillingness of people to act as

guarantors, high credit facilities’ processing fees and short repayment period. Therefore, it

is recommended that financial institutions set more flexible, affordable and attractive

requirements in financing micro and small enterprises (Gichuki, Njeru, & Tirimba, 2014).

2.4.2 Access to the Cost of Credit

There is still inadequate access to structured sources of finance for a large part of the

world’s population, and the prevalence of capital market imperfections and corresponding

lack of access to financial resources has often been highlighted as a major impediment to

firm growth in developing countries. The World Bank informal enterprise surveys, for

example, reveal that lack of access to finance is perceived as the most pressing obstacle

facing small firms in developing countries (World Bank, 2015). A couple of academic

studies report high returns on grants of cash or in-kind capital among small enterprise

owners in developing countries that are typically well above prevailing market interest rates

(Prediger & Gut, 2014).

Furthermore, the relatively higher cost of financial institutions processing credit implies

that lending to SMEs is not generally for banks (Matfobhi & Ruffing, 2013). Many SMEs

are faced with the challenge of having adequate protection in terms of credit-access

20

properties. Banks prefer urban housing permits (UHP) to support concrete or deposit

systems which are substantial as loan collateral. Mong’are (2017) states that most small

and medium-sized enterprises rely on informal financial support sources for credit. Around

82 per cent of small and medium-sized companies depend on family, personal savings and

even friends for financial help to expand their businesses. Grimm and Paffhausen (2014)

note that programmatic initiatives targeting small and medium-sized enterprises may

include measures to improve access to finance through the provision of micro-credit,

advisory services and business skills training, while policy interventions concentrate on

improving the environment conditions for small and medium-sized enterprises and may

include labor market regulations and property rights compliance or credit information.

Drever (2015) argued that financial difficulties (lack of funds) limited the creation and

growth of small businesses, as many of them were unable to access the same forms of

growth financing frequently available to big business. Empirical evidence shows the

importance of internal finance for SME growth, pointing to a positive relationship between

growth and internal finance in various economies, namely Germany, the USA Portugal and

Spain (Serrasqueiro, Nunes, Leitão & Armada, 2010). In situations of insufficient internal

finance, it is necessary to make external finance available so as to promote investment by

enterprises and ultimately growth. However, insufficiency of internal finance can be a

problem, given the greater difficulties faced by SMEs in accessing external finance

(Becchetti & Trovato, 2002).

However, interventions may also target the (potential) labor force through programs such

as technical vocational education and training (TVET) or the job service. It is worth noting

that small and medium-sized enterprises in Kenya are having trouble rising because of lack

of financial access. They rarely succeed past the start-up stage in terms of growth with past

statistics indicating that three out five fail within the first few months (Bowen, Morara &

Mureithi, 2009). The research carried out by Hallberg (2014) and Mead and Liedholm

(2013) shows that financial accessibility is instrumental to the growth and development of

SMEs. In terms of credit, these SMEs have little or no alternative to financial accessibility

other than the ability to rely on their retained earnings to finance their business investments.

Given the financial difficulties currently facing SMEs operating in Kenya, these SMEs are

finding alternative sources of funds to support themselves in the SME sector (Memba &

Gakure, 2013).

21

In Kenya a number of studies were carried out focused on the growth of SMEs. Namusonge

(2013) discussed the growth-oriented elements of SMEs in Nairobi. The main determinants

in the research included management experience, training and schooling as well as the

psychology of small and medium-sized business owners. The study concluded that the

availability and form of finance are critical elements contributing to SME growth. Owner

manager attributes also have an impact on SME production. The researcher failed to

highlight the basic indicators of SME growth according to this report.

Another study by Wanjau, Gakure, Magutu and Kahiri (2013) on the role of quality in SME

growth has clarified that quality adoption influences SME growth. Mungah (2014) further

indicated that determinants of growth of manufacturing SMEs in Kenya pointed out that

interest rates, fuel prices, business skills and political uncertainty were main factors that

were found to affect growth of SMEs in large companies. The problem retains recognized

significance, most notably because it is a global trend that small businesses experience

financial institutions' constraints on credit access (Baas & Schrooten, 2015).

Small businesses are more opaque in terms of information and therefore have less access

to external financing compared to large enterprises which are more open in terms of

information; financial institutions are unable to solve asymmetric knowledge problems and

sufficiently finance small enterprise expansion (Hartarska & Gonzalez-Vega, 2016).

For business growth the availability of sufficient economic resources is critical. This helps

small and medium-sized companies to obtain the requisite skills and capital to bring their

entrepreneurial ideas into practice, become profitable and develop survival strategies under

difficult circumstances as well as expand (Mong’are, 2017). The findings obtained by

Cooley, Quadrini and Quadrini (2004) indicate that the development of new small

businesses is hindered by financial constraints and a lack of diverse capital.

2.4.3 Advancing Credit through Financial Institutions

Approximately 45 percent of lending institutions, such as banks, continue to be very

restrictive and risk-averse, thereby avoiding SMEs, which are considered extremely risky

without collateral or with a credible and meaningful achievement, record (Mong’are, 2017).

Majority of SMEs, which typically have the opportunity to raise funds, considering capital

costs too high (Rwigema & Venter, 2014). Finance availability defines a company's

capacity in a number of ways, especially in technology choice, market access, and access

to vital resources, which in turn greatly influences a company's viability, and performance.

22

Raising capital for company start-ups or business operations appears to be one of the

primary challenges that any owner manager in the SME sector is facing. According to

Mong’are (2017) the inability to access credit for long-term growth is considered one of

the key difficulties preventing SMEs from expanding and rising.

Banerjee and Duflo (2014) conducted a review of loan details collected in detail from a

bank in India from 253 SME borrowers both before and after they became newly qualified

for the scheme. In particular, the program's size concept was updated in 1998 which

allowed a new category of medium-sized businesses the opportunity to receive loans at

subsidized interest rates. Of course, these companies began borrowing under this preferred

scheme, but instead of merely substituting subsidized credit for costlier funding, they

increased their revenues in proportion to the additional sources of loans, implying that these

companies had previously had to be credit constraints.

This means that SMEs cannot receive credit loans from other alternative financial sources.

This shows that inability to access credit is a critical issue for developing countries to build

and expand SMEs. A significant number of SMEs in Kenya continue to rely on self-

financing in terms of their retained earnings in comparison to the considerable difficulties

associated with accessing alternative loan facilities. Hallberg's (2014) study explains that

accessibility to credit is a cardinal element in SME creation and growth. The implication,

therefore, is conclusive that a large number of SMEs are not able to meet the operational

needs of their enterprise due to inadequate credit accessibility from financial institutions.

This indicates that there exists a financial gap for SMEs starting up or wishing to expand

(Drever, 2015).

Tracy and Tracy (2007) state that sources of debt capital include banks, leasing companies,

government-backed programs (microfinance within the context of our country), asset-based

lenders, factoring companies. Some type of lender is readily available on the market for

almost any debt-based necessity. Similar to private outlets, these entities continue to search

for a similar collection of characteristics when expanding debt-shaped capital. Some type

of insurance, such as an asset or personal guarantee, must be present, and debt suppliers

prefer to look for more secure market situations where a company has been in operation for

an extended period of time and has an established record of achievement. Nonetheless, the

majority of Kenya's SMEs are experiencing difficulty getting credit from the formal

monetary foundations since they need appropriate budgetary records. Most organizations

23

regularly keep different arrangements of books and don't have dependable bookkeeping

principles based examined fiscal summaries.

At the other hand, these organizations wind up getting credits at higher loan fees, as banks

regarded them as moneylenders at high danger. Asymmetric knowledge challenges for

small businesses could be more pronounced (Wanjohi, 2013). Monitoring small and

medium-sized companies is more challenging and costly because information about them

is less readily accessible, has less credit history, and is subject to less stringent reporting

standards and the consistency of their financial statements that vary (Pettit & Singer 2014).

All of these factors contribute to SMEs frequently failing to signal their creditworthiness.

2.5 Chapter Summary

This chapter reviewed literature on the strategic interventions and performance of SMEs.

The first section discussed the training intervention, the second section looked at the market

intervention and the third research question discussed financial skills and financial

performance of SMEs. The next chapter deals with the research methodology.

24

CHAPTER THREE

3.0 RESEARCH METHODOLOGY

3.1 Introduction

This chapter highlights the research methodology that was used as a framework of the

study. The research methodology that was employed played a vital role, as it determined

the overall outcome of the research. The research methodology was broken down into the

following sections, the research design, the target population, sampling design, data

collection methods and data analysis.

3.2 Research Design

This process outlined the plan of the study, connecting the research objectives or problems

to the empirical evidence. According to Kothari (2004), the research design is the

conceptual structure within which the research is conducted; it gives the researcher, the

structure needed for collection, measurement, and analysis of the data collected. The design

therefore provided an outline of the steps the researcher took from the hypothesis writing

stage, the operational workings to the final analysis of data. A descriptive research approach

was employed for this study. This design approach was preferred for this study as it seeks

to answer the questions, who, how, what, with which, when and how much (Muathe, 2010;

Cooper & Schindler, 2014). By using the descriptive design approach, the study provided

a picture of the situations it naturally happens it was able to draw a relationship between

strategic interventions and its effects on SMEs performance (Burns & Grove, 2012).

3.3 Population and Sampling Design

3.3.1 Population

Population is described as the total collection of elements, which have common observable

characteristics, or patterns that the researcher wishes to make some inferences (Cooper &

Schindler, 2014). Population is the universe of all members of a real or hypothetical set of

people, events or objects to which an investigator wishes to generalize the results (Borg &

Gall, 2013). The target population of interest in this study consisted of business owners of

SMEs in Nairobi City County, Kenya who have gone through Entrepreneurship training at

Centonomy Limited.

According to records from Centonomy Limited, there were 2259 registered SMEs

(Centonomy Limited, 2018) with 1539 SMEs found within Nairobi City, Kenya. The

researcher obtained this data from an official who works at Centonomy Limited. The study

25

targeted the business owners of SMEs that had been in operation for more than one year at

the time of the study. The target population consisted of SMEs from different sectors

including general trade, transport and communication, agriculture, hospitality, professional

and technical, education, entertainment, and manufacturing. The population distribution

that shows classification of SMEs is presented in Table 3.1 below.

Table 3.1: Population Distribution

Classification of SMEs Population (SMEs owners) Percent

General Trade 221 16

Transport and Communications 207 15

Agriculture 217 14

Hospitality 2 47 13

Professional and Technical 205 14

Education and Entertainment 231 13

Manufacturing 211 14

Total 1539 100

Source: Centonomy Limited (2019)

3.3.2 Sampling Design

A sample design is defined as a blueprint for conducting a study with maximum control

over factors that may interfere with the validity of findings (Burns & Grove, 2012).

3.3.2.1 Sampling Frame

According to Cooper and Schindler, (2014), a sampling frame refers to a list of elements in

population from which the sample is drawn. Similar characteristics representative of the

entire population is represented in a sample frame making its selection extremely

fundamental. A number of 318 SME’s owners who have undertaken the Entrepreneurship

program at Centonomy Limited formed the sample frame for this research.

3.3.2.2 Sampling Technique

A sampling technique refers the selection of sample units that are guided by statistical and

scientific methods of data collection. As there are several sampling techniques it is

important to choose the most relevant to obtain the most accurate representation (Cooper

& Schindler, 2014). The technique that was chosen for this study was the Stratified

technique a Stratified sampling technique is a non-probability sampling technique that

comprises of the division of the population into different groups that are known as strata

26

that are homogeneous in nature. Then the researcher applies the selection of individual

population units from each sub-divided group/ segment according to the research purpose

(Cooper & Schindler, 2014). The study made use of stratified sampling to certify that the

sample size of the study was evenly distributed across the study strata. The population of

the study was divided into five categories/ strata: general trade, transport and

communication, agriculture, hospitality, professional and technical, education and

entertainment and manufacturing. After which, simple random sampling was employed to

select the population units from each stratum

3.3.2.3 Sampling Size

According to Cooper and Schindler (2014), a smaller set of the larger population is referred

to as a sample size. The researcher adopted Yamane (1973) statistical formula to select an

appropriate sample size from a finite population. This formula was used to determine the

representative sample size from the owner managers of SMEs operating within Nairobi

City County, Kenya as follows:

Where;

n = required sample size

N = size of the population

e = alpha level, that is, allowable error e = 0.05 at 95% confidence interval n = 1539 / [1 +

1539 (0.05*0.05)] = 1539 / 4.8475 ≈ 318

The study utilized a sample size of 318 business owners of SMEs drawn from Nairobi City

County and operating in different parts of the county. This was proportionately allocated

based on the population size of each strata as shown in Table 3.2.

27

Table 3.2: Sample Size Distribution

SME Classification Population % Sample Size Sample

General Trade 221 16 51

Transport and Communications 207 15 48

Agriculture 217 14 43

Hospitality 247 13 42

Professional and Technical 205 14 45

Education and Entertainment 231 13 43

Manufacturing 211 14 46

Total 1539 100 318

3.4 Data Collection Methods

Structured questionnaires was used to collect the primary data. Harris and Brown (2010)

assert that the use of questionnaires is suitable since the responses are gathered in a

standardized manner, and the method is objective. An online survey questionnaire will be

the tool used to collect the primary data as provided the current data for analysis in the

subject area and it will be a faster and non-intrusive method of getting the data, given the

budget constraints as well.

The questionnaire format for the study had four sections. The purpose of the first section

was to provide general information deemed relevant for this study. The second section

sought to examine the effect of marketing strategy on performance of SMEs. The third

section sought to identify the effect of marketing strategy on performance of SMEs. The

fourth section examined the effect of access to finance skills on performance of SMEs. The

questionnaire made use of closed-ended questions. The closed-ended questions were in the

form of a Likert scale that guided the respondents to select co-opted options based on their

level agreement on a five-point summated rating scale denoted as 1=Strongly Disagree,

2=Disagree, 3=Neutral, 4=Agree, and 5=Strongly Agree. The respondents’ attitude was

reflected in the assigned score, individual scores were then totaled for an overall measure

of the responses whether they agreed or disagreed with the object of observation

3.5 Research Procedures

The research procedure describes the process a researcher used to gather their data; it

included the steps taken to enable another researcher to perform the same process in their

research for further research advancement. Pre-testing of the questionnaire was done

28

among a few students from the sample population, this was to ensure the questionnaire was

proofread and the line of questioning was checked to ensure the final target sample

understood the context of the questionnaires. This was conducted with the aim of refining

the instrument and testing its validity and reliability. Reliability was tested using the

Cronbach Alpha test using the Statistical Package for Social Sciences (SPSS).

Cronbach’s alpha measure assesses the reliability or internal uniformity, of a set trial items.

According to Cooper and Schindler (2014), the required threshold for questionnaire items

that have 6 and above items is >0.7 while for those that have 5 and below is >0.5. Table

3.3 provides the results of the questionnaire. The table indicates that all questionnaire items

had coefficients of 0.826, 0.879, and 0.736 for organization training strategy, market

intervention and access to finance skills of SMEs respectively. These questionnaire items

were all >0.7, meaning the instrument was reliable for data collection for the study.

Table 3.3: Cronbach Alpha Reliability Test Results

Items Coefficient

Organization Training Strategy 10 .826

Market Intervention 9 .879

Access to Finance Skills and Performance 9 .736

SMEs Performance 5 .788

In the study ethical considerations were employed. First was to seek permission for the

study. The researcher got in touch with the business owners of the SMEs and sought their

permission to conduct research before providing them with the questionnaires. Secondly,

the study required respondents to remain anonymous. They were not required to give their

personal details to guarantee confidentiality and anonymity. Lastly, professionalism was

required. A research permit from NACOSTI was also obtained to help facilitate with the

research. A research assistant helped to collect the data, they were trained accordingly and

finally signed a confidentiality agreement. This was an important step before the final

questionnaire was sent out to respondents. An introduction letter detailing the purpose of

the study and assuring confidentiality of respondent information was used as a strategy to

ensure a high response rate. The final questionnaire was sent via the online tool Survey

Monkey to the respondents since it was fast and cost effective.

29

3.6 Data Analysis Methods

Data analysis method involved data preparation, descriptive analysis and inferential

analysis. Questionnaires collected from respondents were reviewed carefully and checked

for completeness and consistencies. Each item in the questionnaire was assigned a

numerical representation and the responses from each respondent was coded using a

defined coding scheme. After completion of coding, data was entered into the Statistical

Package for Social Sciences (SPSS) tool for analysis. Descriptive statistics was used to

analyze the data collected and descriptive analysis determined frequency and percentage

distributions, mean and standard deviation. To analyze categorical data such as gender of

the respondent’s cross tabulations was used. This study used inferential statistics

particularly Pearson Correlation and Multiple regression for data analysis.

The following regression model was used in this regard.

Y= α +β1x1 + β2x2 + β3x3 + ε

Y = SME Performance

α =Constant term

β= Beta Coefficients

X 1 = Training interventions

X 2= Marketing interventions

X 3= Financial skills

ε = Standard Error

The results of the study was presented using tables and figures by use of Statistical Package

for Social Science (SPSS).

3.7 Chapter Summary

This chapter highlights the different techniques used to address the research objective.

Descriptive research approach was the preferred research design. The population of the

study was 1539 SMEs owners with a sample size of 318 formed the basis of the study. The

data for analysis was collected using the primary collecting tools, which involved a

questionnaire. SPSS and Microsoft Excel were the tools used to analyze the raw data form

and the findings presented in the form of tables and figures. The next chapter delved with

the analysis of the findings.

30

CHAPTER FOUR

4.0 RESULTS AND FINDINGS

4.1 Introduction

This chapter presents the results established from the data analysis done. This included

results relating to the demography and specific research objectives aimed at establishing

the strategic interventions and performance of small and medium enterprises in Nairobi

City County, Kenya: a case of Centonomy Limited.

4.2 Response Rate and Demographic Information

4.2.1 Response Rate

The research issued a total of 318 questionnaires and a total of 254 were filled giving a

response rate of 90%. This was sufficient for the study as indicated in Table 4.1

Table 4.1: Response

RateVariable Frequency Percentage

Filled 254 90%

Non-response 64 10%

Total 318 100

4.2.2 Gender of Respondents

The researcher sought to determine the gender distribution of the population and the results

presented in figure 4.1 indicate that 76% were male, and 24% were female. These results

show that more males run SMEs compared to females, this could be as a result of the nature

of the industry.

Figure 4.1: Gender of Respondents

Male76%

Female24%

0%

0%

Gender

31

4.2.3 Highest Level of Education

To analyze the literacy levels the result established that majority of respondents accounting

for 62% were degree holders while 38% had a Masters degree as shown in figure 4.2 below.

This implies that the data received that the response received was precise as the respondents

were very literate to comprehend the questions asked.

Figure 4.2. Education of Respondents

4.2.4 Age of Respondents

The researcher sought to determine the age bracket of the population and the results

presented in Figure 4.3 indicate that 52% were aged between 26-35 years, 43% were aged

between 36-45 years, 2% were 25 years and below and 2% were aged between 46 years

and above. These results show that most SME owners and managers were young and mid-

aged adults. This could be explained by the country’s demographics.

Figure 4.3: Age of Respondents

Degree62%

Masters38%

0% 0%

Education

Less than 25 26-35 36-45 46 and above

Series 3

Column1

Age 2% 52% 43% 3%

0%20%40%60%80%

100%

Axi

s Ti

tle

Age

32

4.2.5 Number of Years in Business

The researcher sought to determine the number of years the businesses had been in

operation and the results presented in Figure 4.4 indicated that 53% of the respondents

specified that the business had been in operation for 3-6 years, 31% indicated that the

business had been in operation for 7-10 years, 7% indicated that the business had been in

operation for less than 3 years and 15 years and over respectively and 2% indicated that the

business had been in operation for 11-14 years. These results show that most of the SMEs

had been in business for more than 4 years, making the population significant for the study.

Figure 4.4: Years in Business

4.2.6 Nature of Business

The researcher sought to determine the nature of business of the SMEs and the results

presented in Figure 4.5. The findings illustrated that 52% were in service business, and

48% were commercial trade and retail. These results show that all areas of the SME industry

were represented, meaning that the study results could easily be applied to all SME sectors.

Figure 4.5: Nature of Business

Less than 37%

3-6 years53%

7-10 years31%

11-14 years2%

15 and above

7%

Years in Business

Service Business

52%

Commercial Trade and Retail 38%

0%0%

Nature of business

33

4.2.7 Number of Employees

The researcher sought to determine the number of employees that had been hired in each

of the SMEs and the results presented in Figure 4.6. The findings indicate that 41% had 5-

10 employees, 40% had 11-30 employees, 14% had 31-50 employees, 3% had 50

employees and above, and 2% had less than 5 employees. These results show that most of

the SMEs had hired many employees and contributed greatly to employment in the country,

and the results showed that the population was significant to the study.

Figure 4.6: Number of Employees

4.2.8 Management Level

To analyze the management levels the result established that majority of respondents

accounting for 45.1% were lower managers, and 43.7% were senior managers, 8.5% were

middle managers only 2.8% were regular staffs as shown in Figure 4.7. This implies that

the data received that the response received was relevant as it is the responsibility of

managers to evaluate strategic interventions and performance of small and medium

enterprises.

Less than 52%

5-10 employees42%

11-30 employees41%

31-50 employees15%

Number of employees

34

Figure 4.7: Management Level

4.3 Training Intervention and Performance of SMEs

The first objective of the study was set to examine the effect Training Intervention and

Performance of SMEs. This section offers the descriptive, correlation and regression

analyses for Training Intervention and Performance of SMEs.

4.3.1. Descriptive Statistics

The first objective set to establish how organization training intervention affects SMEs

performance. Respondents were asked a set of questions to indicate to what extent they

concur and not concur with statement related to organization training intervention and

SMEs performance. Using a five point Likert scale where 1 - Strongly Disagree 2 - Disagree

3 - Neutral 4 - Agree 5 - Strongly Agree.

The results established that most respondents agree that all members of the organization

work and move towards a desired agreed future (4.74), training strategy has helped the firm

in foreseeing environmental and market changes. (4.50). the firm has a common mental

model of its future state that provides the basis for its actions (4.50). The firm is always

willing to question its current thinking and practices (4.50).The respondents agreed that

their organization actively encourages employees and customers to give feedback and

suggestions for improvements (4.26). Training strategy has increased the firms’ ability to

innovate (4.25). Organizational knowledge transfer has improved the performance of the

firm (4.25). The firm has the tendency to create and apply knowledge within the

organization (4.00). Lastly; the firm evaluates its daily operations and accepts new ideas

easily (4.01) as shown in table 4.2

Senior management

44%

Middle management

8%

Lower management

45%

Regular Staff3%

Management Level

35

Table 4.2: Descriptive on Variables of Training Intervention

Variable N Mean Std.

Deviation

The firm has the tendency to create and apply knowledge within the

organization.

145 4.000 0.707

Training strategy has helped the firm in foreseeing environmental and

market changes.

145 4.500 0.502

The organization actively encourages employees and customers to give

feedback and suggestions for improvements.

145 4.260 0.831

Training strategy has increased the firms’ ability to innovate. 145 4.250 0.434

The firm has a common mental model of its future state that provides the

basis for its actions.

145 4.500 0.502

All members of the organization work and move towards a desired agreed

future

145 4.740 0.437

The firm evaluates its daily operations and accepts new ideas easily. 145 4.010 0.712

The firm is always willing to question its current thinking and practices. 145 4.500 0.502

Organizational knowledge transfer has improved the performance of the

firm.

145 4.250 0.434

4.3.2. Correlation Analysis for Variable of Training Intervention

Table 4.3 presents the correlations training intervention and performance of SMEs. The

table shows that training interventions had a significant correlation with performance of

SMEs (r=0.545, p<0.05).

Table 4.3: Correlations analysis for Variable of Training Intervention

Performance

Training

Intervention

Performance Pearson Correlation 1 .604

Sig. (2-tailed) .000

N 254 254

Training Intervention Pearson Correlation . 545 1

Sig. (2-tailed) .000

N 254 254

**. Correlation is significant at the 0.01 level (2-tailed).

36

4.4.3 Regression Analysis for Variable of Training Intervention

The following part presents the regression analysis between training intervention and

performance of SMEs. This was conducted to examine the nature of the relationship

between the two study variables training intervention and performance of SMEs,

specifically, to determine how the independent variable influences the dependent variable

and the course of their relationship when the variables change. This is presented using the

model summary, ANOVA, and linear regression coefficient.

4.4.3.1 Model Summary for Variable of Training Intervention and performance of

SMEs

Table 4.4 shows the existing relationship between training intervention and performance of

SMEs, and the R square value of .365 shows that training intervention influence

performance of SMEs by 36.5%.

Table 4.4: Model Summary for Variable of Training Intervention and SMEs

performance

Model R

R

Square

Adjusted R

Square

Std. Error

of the

Estimate

Change Statistics

R Square

Change

F

Change df1 df2

Sig. F

Change

1 .604a .365 .360 .69914 .365 82.098 1 143 .000

a. Predictors: (Constant), training intervention.

4.3.3.2 ANOVA for Variable of Training Intervention and SMEs

Table 4.5 presents the ANOVA for training intervention and performance of SMEs. The

linear regression of the F statistics shown signifies that there was a statistical and significant

linear relationship training intervention and performance of SMEs (F (1, 252) = 82.098,

p<.05). This means that the regression analysis was fit for the study.

Table 4.5: ANOVA for Variable of Training Intervention and SMEs

Model Sum of Squares df Mean Square F Sig.

1 Regression 40.130 1 40.130 82.098 .000b

Residual 69.898 252 .489

Total 110.028 253

a. Dependent Variable: performance

b. Predictors: (Constant), training intervention.

37

4.3.3.3 Coefficients for Training Intervention and Performance of SMEs

Table 4.5 provides the regression coefficient that indicates the existing relationship

between training intervention and performance of SMEs. The table produces a linear

regression of the relationship in the form:

Performance of SMEs = 1.439+ .643training intervention + 𝑒

From the table, it can be inferred that training intervention was significant to the operational

performance of SMEs because its p-value was < 0.05. From the equation, it can also be

inferred that a single unit increase in training intervention results in a 64.3% increase in

performance of SMEs.

Table 4.6: Coefficients for training intervention and performance of SMEs

Model

Unstandardized Coefficients

Standardized

Coefficients

t Sig. B Std. Error Beta

1 (Constant) 1.439 .271 5.314 .000

training intervention .643 .071 .604 9.061 .000

a. Dependent Variable: performance

4.4 Marketing Skills Intervention and Performance of SMEs

The second objective set to establish how Marketing Skills intervention affects SMEs

performance. Respondents were asked a set of questions to indicate to what extent they

agree or disagreed with statement related to Marketing Skills intervention and SMEs

Performance. Using a five point Likert scale where 1 - Strongly Disagree 2 - Disagree 3 -

Neutral 4 - Agree 5 - Strongly Agree.

4.4.1 Descriptive Statistics

The results established that most respondents agree that the organization has intelligence

(information about their strengths, weaknesses and capabilities) about its competitors

(4.26). Market orientation is a significant part of the firms’ culture (3.75). Market

orientation in the firm has been formalized to exist in the firm’s rules and regulations (3.25).

Market orientation has improved the firms’ market share and profitability (3.49). Market

orientation has improved customer satisfaction and loyalty to the firm (4.25). The firm

creates superior value to its customers through sufficient understanding of their needs

(3.61). Customer orientation has helped the firm in developing appropriate service

strategies that meet customer needs and demands (3.99). The organization seeks

38

intelligence about its competitors in order to improve its service delivery (3.91). Inter-

functional coordination helps the firm to analyze and use information gained in its decision

process (3.77) as shown in table 4.8.

Table 4.7: Descriptive on Variables of Marketing Skills intervention and Performance

of SMEs

Variable N Mean Std.

Deviation

Market orientation is a significant part of the firms’ culture. 145 3.750 0.434

Market orientation in the firm has been formalized to exist in the firm’s rules

and regulations.

145 3.250 0.434

Market orientation has improved the firms’ market share and profitability. 145 3.490 0.875

Market orientation has improved customer satisfaction and loyalty to the

firm.

145 4.250 0.829

The firm creates superior value to its customers through sufficient

understanding of their needs.

145 3.610 1.095

Customer orientation has helped the firm in developing appropriate service

strategies that meet customer needs and demands.

145 3.990 0.712

The organization has intelligence (information about their strengths,

weaknesses and capabilities) about its competitors.

145 4.260 0.831

The organization seeks intelligence about its competitors in order to improve

its service delivery.

145 3.910 0.865

Inter-functional coordination helps the firm to analyze and use information

gained in its decision process.

145 3.770 0.727

4.4.2. Correlation Analysis for Marketing Skills Intervention

Table 4.9 presents the correlations of Marketing Skills intervention and SMEs performance.

The table shows that Marketing Skills intervention were significant to the performance of

SMEs (r=0.579, p<0.05).

39

Table 4.8: Correlation analysis for Marketing Skills intervention.

4.4.3 Regression Analysis for Marketing Skills Intervention and Performance of

SMEs

The following part presents the regression analysis between Marketing Skills intervention

and SMEs performance. This was conducted to examine the nature of the relationship

between the variable Marketing Skills intervention and SMEs performance, specifically, to

determine how the independent variable influences the dependent variable and the course

of their relationship when the variables change. This is presented using the model summary,

ANOVA, and linear regression coefficient.

4.4.3.1 Model Summary for Variable of Marketing Skills intervention and

Performance SMEs

Table 4.10 shows the existing relationship between Marketing Skills intervention and

SMEs performance, and the R square value of 0.335 shows that marketing skills

intervention influence performance of SMEs by 33.5%.

Table 4.9: Model Summary for Variable of Marketing Skills intervention and

performance of SMEs

Model R

R

Square

Adjusted R

Square

Std. Error of

the Estimate

Change Statistics

R Square

Change

F

Change df1 df2

Sig. F

Change

1 .579a .335 .332 .73529 .335 126.774 1 252 .000

a. Predictors: (Constant), marketing intervention

performance marketing intervention

Performance Pearson Correlation 1 .579**

Sig. (2-tailed) .000

N 254 254

marketing intervention Pearson Correlation .579** 1

Sig. (2-tailed) .000

N 254 254

**. Correlation is significant at the 0.01 level (2-tailed).

40

4.4.3.2 ANOVA for Marketing Skills Intervention and Performance of SMEs

Table 4.11 presents the ANOVA for marketing skills intervention and performance of

SMEs. The linear regression of the F statistics shown signifies that there was a statistical

and significant linear relationship between Marketing Skills intervention and SMEs

performance. (F (1, 252) = 126.774, p<.05). This means that the regression analysis was fit

for the study.

Table 4.10: ANOVA for Marketing Skills intervention and performance of SMEs

Model Sum of Squares Df Mean Square F Sig.

1 Regression 68.540 1 68.540 126.774 .000b

Residual 136.244 252 .541

Total 204.784 253

a. Dependent Variable: performance

b. Predictors: (Constant), marketing intervention

4.4.3.3 Coefficients for Marketing Skills intervention and performance of SMEs

Table 4.12 provides the regression coefficient that indicates the existing relationship

between training intervention and performance of SMEs. The table produces a linear

regression of the relationship in the form:

Performance of SMEs = 0.371 + 0.896 Marketing Skills intervention + 𝑒

From the Table, it can be inferred that marketing skills intervention was significant to the

operational performance of SMEs because its p-value was < 0.05. From the equation, it can

also be inferred that a single unit increase in marketing skills intervention results in an

89.9% increase in performance of SMEs.

Table 4.11: Coefficients for Marketing Skills intervention and performance of SMEs

Model

Unstandardized

Coefficients

Standardized

Coefficients

T Sig. B Std. Error Beta

1 (Constant) .371 .326 1.137 .257

marketing

intervention

.896 .080 .579 11.259 .000

41

4.5 Access to Finance Skills and Performance of SMEs

The third objective set to establish how finance skills affects SMEs performance.

Respondents were asked a set of questions to indicate to what extent they agree or disagreed

with statement related to Marketing Skills intervention and SMEs Performance. Using a

five point Likert scale where 1 - Strongly Disagree 2 - Disagree 3 - Neutral 4 - Agree 5 -

Strongly Agree.

4.5.1 Descriptive Statistics

Results showed that most respondents agree that access to long-term credit with affordable

interest rates from financial institutions has influenced the growth of sales turnover in my

business (4.50). High cost of credit from financial institutions has influenced the growth of

profit margin in my business (4.00). Lack of credit history for long-term credit from

financial institutions has influenced the growth of asset value in my business (3.00). Risk

exposures such as interest rates affect the foreign investors more than local investors (3.75).

Lack or inadequate collateral for long-term credit from financial institutions has influenced

the growth of asset value in my business (3.78). Lack of awareness of funding opportunities

for long-term credit by financial institutions has influenced the growth of asset value in my

business (4.04). The results are as shown in Table 4.13.

Table 4.12: Descriptive on Variables of Access to Finance Skills and Performance of

SMEs

N Mean Std.

Deviation

High cost of credit from financial institutions has influenced the growth of

profit margin in my business 145 4.00 .707

Lack of credit history for long-term credit from financial institutions has

influenced the growth of asset value in my business. 145 3.00 .707

Lack or inadequate collateral for long-term credit from financial institutions

has influenced the growth of asset value in my business. 145 3.78 1.090

Lack of audited financial statements for long-term credit from financial

institutions has influenced the growth of profit margin in my business. 145 2.76 1.095

Lack of awareness of funding opportunities for long-term credit by financial

institutions has influenced the growth of asset value in my business. 145 4.04 .351

Access to long-term credit with affordable interest rates from financial

institutions has influenced the growth of sales turnover in my business. 145 4.50 .502

42

4.5.2 Correlation Analysis for Access to Finance Skills Intervention.

Table 4.14 presents the correlations access to finance Skills intervention and SMEs

performance. The table shows that access to finance Skills intervention was significant to

the performance of SMEs (r=0.748, p<0.05).

Table 4.13: Correlation analysis for access to finance Skills intervention

Correlations

performance

finance skills

intervention

performance Pearson Correlation 1 .748**

Sig. (2-tailed) .000

N 254 254

finance skills intervention Pearson Correlation .748** 1

Sig. (2-tailed) .000

N 254 254

**. Correlation is significant at the 0.01 level (2-tailed).

4.5.3 Regression Analysis for Access to Finance Skills and Performance of SMEs

The following part presents the regression analysis between access to finance Skills

intervention and SMEs performance. This was conducted to examine the nature of the

relationship between the variable access to finance Skills intervention, specifically, to

determine how the independent variable influences the dependent variable and the course

of their relationship when the variables change. This is presented using the model summary,

ANOVA, and linear regression coefficient.

4.5.3.1 Model Summary for Variable Analysis for Access to Finance Skills and

Performance of SMEs

Table 4.13 shows the existing relationship between finance Skills intervention and SMEs

performance, and the R square value of 0.559 shows that finance Skills intervention

influences performance of SMEs by 55.9%.

43

Table 4.13. Model Summary for Variable Analysis for Access to Finance Skills and

Performance of SMEs

Model R R Square

Adjusted R

Square

Std. Error of

the Estimate

Change Statistics

R Square

Change F Change df1 df2

Sig. F

Change

1 .748a .559 .558 .59839 .559 319.906 1 252 .000

a. Predictors: (Constant), finance skills intervention

4.5.3.2 ANOVA for Access to Finance Skills and Performance of SMEs

Table 4.15 presents the ANOVA for access to finance skills intervention and performance

of SMEs. The linear regression of the F statistics shown signifies that there was a statistical

and significant linear relationship between access to finance Skills intervention and SMEs

performance (F (1, 252) = 319.906, p<.05). This means that the regression analysis was fit

for the study.

Table 4.14: ANOVA for Access to Finance Skills and Performance of SMEs

Model Sum of Squares Df Mean Square F Sig.

1 Regression 114.550 1 114.550 319.906 .000b

Residual 90.234 252 .358

Total 204.784 253

Dependent Variable: performance

b. Predictors: (Constant), finance skills intervention

4.5.3.3 Coefficients for Access to Finance Skills and Performance of SMEs

Table 4.16 provides the regression coefficient that indicates the existing relationship

between access to finance intervention and performance of SMEs. The table produces a

linear regression of the relationship in the form:

Performance of SMEs = -0.613 + 0.748 Access to Finance Skills intervention + 𝑒

From the table, it can be inferred that access to finance skills intervention was insignificant

to the financial performance of SMEs.

44

Table 4.15: Coefficients for Access to Finance Skills and Performance of SMEs

Model

Unstandardized Coefficients

Standardized

Coefficients

T Sig. B Std. Error Beta

1 (Constant) -.613 .261 -2.348 .020

Finance skills

intervention

1.200 .067 .748 17.886 .000

4.6 Chapter Summary

This chapter has highlighted results and findings. The first section provided an analysis of

demographic data of the respondents, the second section dealt with organization training,

the third section looked at the marketing skills and the last section covered issues on Access

to finance skills. In chapter five this results will be discussed and relevant conclusions and

recommendations made with regard to performance of SMEs in Kenya.

45

CHAPTER FIVE

5.0 DISCUSSION, CONCLUSION AND RECOMMENDATION

5.1 Introduction

This section covers a summary of the findings and discussion of the findings based on

literature review. It also gives conclusion and recommendation of the study based on

research objectives. The section also gives recommendations that can be used for future

studies by researcher, academicians and other stakeholders.

5.2 Summary

The general objective of this study was to establish the effects of strategic interventions

and performance of small and medium enterprises in Nairobi City County, Kenya: a case

of Centonomy Limited. The study was guided by the following specific objectives; to

establish the effects of organization training intervention and SMEs performance, to

investigate the effect of marketing skills intervention and SMEs performance and to

determine the effect of access to finance skills intervention and performance of SMEs.

The study adopted a descriptive research approach. The descriptive survey research design

was used to determine the characteristics of a defined population group. Target population

comprised of 1539 registered SMEs found within Nairobi County and the study sample size

was 318 respondents. Eminently, questionnaires were used for data collection. Data

collected from the questionnaires was coded using the Statistical Package for Social

Sciences (SPSS) software to enable analysis. Measures of central tendencies including

means and standard deviation were used during analysis. Inferential analysis was also used

in the study. Correlation analysis was used to investigate the relationship between the

various causative factors of financial performance of SMEs. Linear regressions analysis

including model summary, ANOVA and regression coefficients were used to observe how

each of the independent variables (Training intervention skills, Marketing intervention

skills and Access to finance skills) influenced financial performance of SMEs. Final

analyzed data was presented using figures and tables.

The first objective set to establish how organization training intervention affects SMEs

performance. The results established that most respondents agree that all members of the

organization work and move towards a desired agreed future (4.74), training strategy has

helped the firm in foreseeing environmental and market changes (4.50). The study also

showed that the firm has a common mental model of its future state that provides the basis

46

for its actions (4.50). The firm is always willing to question its current thinking and

practices (4.50).The respondents agreed that their organization actively encourages

employees and customers to give feedback and suggestions for improvements (4.26).

Training strategy has increased the firms’ ability to innovate (4.25). Organizational

knowledge transfer has improved the performance of the firm (4.25). The firm has the

tendency to create and apply knowledge within the organization (4.00). Lastly; the firm

evaluates its daily operations and accepts new ideas easily.

The second objective revealed that most respondents agree that the organization has

intelligence (information about their strengths, weaknesses and capabilities) about its

competitors (4.26). Market orientation is a significant part of the firms’ culture (3.75).

Market orientation in the firm has been formalized to exist in the firm’s rules and

regulations (3.25). Market orientation has improved the firms’ market share and

profitability (3.49). Market orientation has improved customer satisfaction and loyalty to

the firm (4.25). The firm creates superior value to its customers through sufficient

understanding of their needs (3.61). Customer orientation has helped the firm in developing

appropriate service strategies that meet customer needs and demands (3.99). The

organization seeks intelligence about its competitors in order to improve its service delivery

(3.91). Inter-functional coordination helps the firm to analyze and use information gained

in its decision process (3.77).

The third objective showed that most respondents agree that access to long-term credit with

affordable interest rates from financial institutions has influenced the growth of sales

turnover in my business (4.50). High cost of credit from financial institutions has influenced

the growth of profit margin in my business (4.00). Lack of credit history for long-term

credit from financial institutions has influenced the growth of asset value in my business

(3.00). Risk exposures such as interest rates affect the foreign investors more than local

investors (3.75). Lack or inadequate collateral for long-term credit from financial

institutions has influenced the growth of asset value in my business (3.78). Lack of

awareness of funding opportunities for long-term credit by financial institutions has

influenced the growth of asset value in my business (4.04).

47

5.3. Discussions

5.3.1 Training Intervention and Performance of SMEs

The results showed that all members of the SMEs work and move towards a desired agreed

future and training strategy has helped the firms in foreseeing environmental and market

changes. This is in line with Nybakk, (2014) who found out that organization training

strategy positively and significantly affect business performance. The finding is also in

agreement with Calantone, Cavusgil and Zhao (2015) who assert that organization-training

strategy increases organizational performance directly and indirectly through its influence

on competitive advantage. Innovativeness mediates the relationship between organization

training strategy and performance.

The above finding concur with Pearce and Ensley (2014) who explain that having

knowledge and ability to understand and predict the need of customers, the firm committed

to training will by no means lose the opportunities created in market. Moreover, because of

being committed to innovation, and due to having ability to offer and use technology in

innovations, the organization committed to learning can increase its ability to innovate,

thus, being more capable of innovation as compared to its rivals.

The study revealed that training strategy has increased firms’ ability to innovate and

organizational knowledge transfer has improved the performance of the firm. It was also

established that firms have the tendency to create and apply knowledge within the

organization and evaluates its daily operations and accepts new ideas easily. The study

result is in agreement with Sales and Savage (2015) who stated that organizational

knowledge transfer refers to the process through which organizational actors – teams, units,

or organizations – exchange, receives and is influenced by the experience and knowledge

of others. Since organizational knowledge transfer requires the integration of differentiated

knowledge, it manifests itself through changes in the knowledge bases or performance of

recipients. Organizational knowledge transfer from both internal and external sources has

important implications for organizational performance and innovativeness. Prior research

supports a positive relationship between organizational knowledge transfer and

performance. Transferring knowledge contributes to the development of organizational

capabilities that are difficult to imitate, and subsequently leads to enhanced performance

(Sales & Savage, 2015).

48

Keskin (2012) found that as joint venture partners acquired and assimilated new external

knowledge, performance increased. Likewise, firms that are able to learn about customers,

competitors, and regulators stand a better chance of sensing and adapting their products

and services to emerging needs. Hence, organizational knowledge transfer has been

associated with higher levels of performance. Pearce and Ensley (2014) also support this

finding by stating that organizational knowledge transfer enables an organization to

generate new ideas for new product development as it stimulates the combination of

existing and newly acquired knowledge and augments a unit’s capacity for making novel

linkages and associations. In addition, the accumulation of knowledge not only permits

efficient utilization of related knowledge but also enables organizations to better understand

and evaluate the nature and commercial potential of technological advances.

The study showed most of the SMEs have a vision in that they have a common mental

model of their future state that provides the basis for their actions. This is in line with

Nybakk (2014) who states that vision is based on the idea that an organization has a unique

aim and destiny. A vision expresses that reason and gives a reference point of clearness for

vital activity. However; a shared vision is frequently built on top of unexplored,

unarticulated assumptions about the present and the future. If members of an organization

cannot agree on current reality, they cannot move towards a desired future.

The study also found out that the SMEs encourages open mindedness by actively

encourages employees and customers to give feedback and suggestions for improvements.

This in line with Martinette and Obenchain-Leeson (2012) who state that Open-mindedness

encourages a willingness to question current thinking and practice, receptiveness to

emerging possibilities, the sharing of ideas and the consideration of differing perspectives

Therefore, the creation of an open-mindedness culture is more likely to result in the

questioning of long-held practices and beliefs and encourage the sharing of strategic

information among decision-makers.

5.3.2 Market Intervention and Performance of SMEs

The research found out that Most SMEs have intelligence (information about their

strengths, weaknesses and capabilities) about its competitors. This finding agrees with that

of Narver and Slater, (2015) who state that for businesses to realize its market share, it is

required of to know weaknesses and strength as well as capabilities and activities of

competitors.

49

Information that is gathered about competitors help the firm to reposition its offering to

prepare for the future survival of the entity Competitor orientation as part of market strategy

is seen as an organizational strategy to end up creating behavior of businesses improving

on the products they deliver to customers. It is important to know that competitors will sit

down concerned but strive over the same group of customers. Businesses must therefore

seek intelligence about their competitors in order to improve on their service delivery.

The study established that market orientation is a significant part of the firms’ culture.

Furthermore, market orientation in the firm has been formalized to exist in the firm’s rules

and regulations. This supported by Miller (2013) who suggested that the development and

implementation of customer orientation is the driving force for organizational position in

the marketplace. Verhoef and Leeflang (2017) also confirm a significant relationship

between the customer orientation of a firm and its financial and market performance

support this position.

The study revealed that customer orientation has helped the firm in developing appropriate

service strategies that meet customer needs and demands. Verhoef and Leeflang (2017) that

confirm it is believed that a customer-oriented firm puts the customer at the center of the

operation and sees the customer has their reason for being in business and as such goods

and services to meet the needs of their customer. Customers are also likely to tend to

support the product or service that is borne out of their needs interpreting into sales growth

and performance of the firm. Customer orientation is greatly important to make the firms

effort to understand the market place, develop appropriate product, and service strategies

to meet customer needs and demands that interpret into performance.

The discovered that Inter-functional coordination help the SMEs to analyze and use

information gained in its decision process. It is the coordination of all the functions of the

organization and operation of customer and market information in order to create value for

the customer. Tse et al. (2013) agree with the finding in that that inter-functional

coordination is dissemination of information about customers and competitors among all

sections of staff and organizations in order to make a correct understanding of the needs

and wishes of the customer and planning to overcome competition. They divided inter-

functional coordination to four parts: functional integration in strategy, information shared

among functions, dissemination of information and coordination among all units towards

creating value for the customer (Tse et al., 2013).

50

Inter-functional coordination therefore can be seen as the harmonization of all internal

functions and processes in a company. It consists of two parts, namely corporate culture

and information coordination. The finding concur with Tay and Tay (2014) who posit that

Inter-functional coordination is aimed at internal environment; however, the effects of

inter-functional coordination are connected with internal, external and branch environment

as well. According to Tomaskova and Kopfova (2014) agree that management has high

impact on inter-functional coordination and employees. Improving of management style

leads to improving inter-functional coordination. Improvements in internal processes are

visible during a short period. Employees can perceive changes very soon.

Improvements in branch and external environment need more time Inter-functional

Coordination recognizes that, all departments as well as employees are aware that,

employees’ attitude with respect to internal and external customer is crucial. Coordinated

integration of resources is tightly related to the customer and competitor since they are

promoting customers experience among department. There is therefore a need to inter-

coordinate the activities that are concerned with the day-to-day management of the business

in order to help realized to potentials of the business in maximizing its performance.

5.3.3 Access to Finance Skills and Performance of SMEs

The study established that access to long-term credit with affordable interest rates from

financial institutions has influenced the growth of sales turnover in SMEs. Reid (2013)

agrees with the findings by arguing that the strategies of SMEs for accessing finance are

fundamental in explaining the growth patterns, and this can be prevented through subjecting

enterprises to necessary financial restrictions. Drever (2015) supports that financial

problems (lack of funds) constrained the development and growth of small enterprises, as

many of them are unable to access the same kinds of growth funding often available to

large enterprises.

The study showed that lack of awareness of funding opportunities for long-term credit by

financial institutions has influenced the growth of asset value in SMEs. This is supported

by Hartarska and Gonzalez-Vega (2016) who state that small enterprises are more opaque

in terms of information and therefore have less accessibility to external funding compared

to large enterprises which are more informational transparent; financial institutions are

unable to solve problems of asymmetric information and to adequately fund small business

expansion. The availability of appropriate economic resources is important for business

51

development. This makes SMEs not able to secure the necessary expertise and resources in

order to implement their entrepreneurial ideas into operation, to become competitive and

to gain survival tactics during unfavorable conditions as well as to grow.

The study revealed that lack of credit history for long-term credit from financial institutions

has influenced the growth of asset value in SMEs. The study agrees with that of Wanjohi,

(2013) who state that vast majority of the SMEs in Kenya experience issues in getting credit

from the formal budgetary establishments since they need appropriate budgetary records.

The greater part of the organizations regularly keep various arrangements of books and do

not have evaluated fiscal summaries in light of solid bookkeeping norms.

On the other hand, these firms end up getting loans at higher interest rates because banks

considered them as high-risk borrowers. Asymmetric information problems may be more

pronounced for small firms Monitoring SMEs is more difficult and expensive as

information on them is less easily available, they have less credit history, are subject to less

rigorous reporting requirements and the quality of their financial statements may vary. All

these elements result in SMEs often facing difficulties in signaling their creditworthiness.

It was found out that lack or inadequate collateral for long-term credit from financial

institutions has influenced the growth of asset value in SMEs. This is in line with Tracy

and Tracy (2007) who states that debt capital sources including banks, leasing companies,

government-backed programs (microfinance in our country’s context), asset-based lenders,

factoring companies. For almost any debt-based need, some type of lender is readily

available in the market.

These groups, similar to private sources, tend to look for a common set of characteristics

when extending capital in the form of debt. Security of some sort - an asset or personal

guarantee, for example - must be present and debt providers tend to look for more stable

business environments where a company has been in business for an extended period and

has a proven record of accomplishment.

The study revealed that high cost of credit from financial institutions has influenced the

growth of profit margin in SMEs. Pettit and Singer (2014) support this by stating most

SMEs wind up getting advances at higher loan fees since banks considered them as high-

hazard borrowers.. Asymmetric information problems may be more pronounced for small

firms. Monitoring SMEs is more difficult and expensive as information on them is less

52

easily available, they have less credit history, are subject to less rigorous reporting

requirements and the quality of their financial statements may vary. All these elements

result in SMEs often facing difficulties in signaling their credit worthiness.

5.4. Conclusion

5.4.1. Training Intervention and Performance of SMEs

The finding concludes organization-training strategy increases organizational performance

directly and indirectly through its influence on competitive advantage. Innovativeness

mediates the relationship between organization training strategy and performance.

Furthermore, having knowledge and ability to understand and predict the need of

customers, the firm committed to training will by no means lose the opportunities created

in market. Moreover, because of being committed to innovation, and due to having ability

to offer and use technology in innovations, the study concludes that the organization

committed to learning can increase its ability to innovate, thus, being more capable of

innovation as compared to its rivals.

Receptiveness urges a readiness to address current reasoning also, practice, openness to

rising prospects, the sharing of thoughts and the thought of contrasting points of view.

Consequently, the formation of a liberality culture is bound to bring about the scrutinizing

of since quite a while ago held practices and convictions and encourage the sharing of

strategic information among decision-makers.

Study also concluded that most of the SMEs work and move towards a desired agreed future

and training strategy has helped the firms in foreseeing environmental and market changes.

Organization-training strategy increases organizational performance directly and indirectly

through its influence on competitive advantage. Innovativeness mediates the relationship

between organization training strategy and performance.

5.4.2. Market intervention and Performance of SMEs

The study concludes that SMEs have intelligence (information about their strengths,

weaknesses and capabilities) about its competitors since for businesses to realize its market

share, it is required of to know weaknesses and strength as well as capabilities and activities

of competitors. Information that is gathered about competitors helps the firm to reposition

its offering to prepare for the future survival of the entity. Competitor orientation as part of

market strategy is seen as an organizational strategy to end up creating behavior of

53

businesses improving on the products they deliver to customers. It is important to know

that competitors will sit down concerned but strive over the same group of customers.

Businesses must therefore seek intelligence about their competitors in order to improve on

their service delivery.

The study concluded that market orientation is a significant part of the firms’ culture.

Furthermore, market orientation in the firm has been formalized to exist in the firm’s rules

and regulations. The development and implementation of customer orientation is the

driving force for organizational position in the marketplace.

The researcher concluded that Inter-functional coordination help the SMEs to analyze and

use information gained in its decision process. It is the coordination of all the functions of

the organization and operation of customer and market information in order to create value

for the customer. Inter-functional coordination is dissemination of information about

customers and competitors among all sections of staff and organizations in order to make

a correct understanding of the needs and wishes of the customer and planning to overcome

competition.

5.4.3. Access to Finance Skills and Performance of SMEs

The study concluded that high cost of credit from financial institutions has influenced the

growth of profit margin in SMEs. Most SMEs end up getting loans at higher interest rates

because banks considered them as high-risk borrowers. Asymmetric information problems

may be more pronounced for small firms. Monitoring SMEs is more difficult and expensive

as information on them is less easily available, they have less credit history, are subject to

less rigorous reporting requirements and the quality of their financial statements may vary.

The study also concluded that lack of credit history for long-term credit from financial

institutions has influenced the growth of asset value in SMEs. Most of the SMEs in Kenya

have difficulty in getting credit from the formal financial institutions because they lack

proper financial records. Most of the businesses often keep multiple sets of books and do

not have audited financial statements based on reliable accounting standards.

The researcher made a conclusion that lack of awareness of funding opportunities for long-

term credit by financial institutions has influenced the growth of asset value in SMEs.

SMEs are more opaque in terms of information and therefore have less accessibility to

external funding compared to large enterprises which are more informational transparent;

54

financial institutions are unable to solve problems of asymmetric information and to

adequately fund small business expansion. The availability of appropriate economic

resources is important for business development. This makes SMEs not able to secure the

necessary expertise and resources in order to implement their entrepreneurial ideas into

operation, to become competitive and to gain survival tactics during unfavorable conditions

as well as to grow.

5.5 Recommendations

5.5.1 Recommendation for Improvement

5.5.1.1 Training Intervention and Performance of SMEs.

Change is inevitable and it is only through training that the SMEs can embrace change. The

study therefore recommends that training should be given priority and conducted in a

modern way. The study also recommends that firms must have the tendency to create and

apply knowledge within the organization and evaluates its daily operations and accepts new

ideas easily.

5.5.1.2 Market intervention and Performance of SMEs.

The researcher recommends that SMEs should have intelligence (information about their

strengths, weaknesses and capabilities) about its competitors since for them to realize their

market share, it is required of to know weaknesses and strength as well as capabilities and

activities of competitors. Information that is gathered about competitors helps the firm to

reposition its offering to prepare for the future survival of the entity. Competitor orientation

as part of market strategy is seen as an organizational strategy to end up creating behavior

of businesses improving on the products they deliver to customers. It is important to know

that competitors will sit down concerned but strive over the same group of customers.

Businesses must therefore seek intelligence about their competitors in order to improve on

their service delivery.

5.5.1.3 Access to Finance Skills and Performance of SMEs.

The study recommends that SMEs should go for cheaper interest rates while looking for

capital. The capital should be raised through personal savings if possible since lack of credit

history for long-term credit from financial institutions has influenced the growth of asset

value in SMEs. Moving forward, SMEs should have proper financial records to help the

acquire loans from various institutions.

55

5.5.2 Recommendations for Further Studies

The purpose of this research was to determine the effects of strategic interventions on

performance of small and medium enterprises in Nairobi City County. The study only

looked at Training intervention skills, Marketing intervention skills and Access to finance

skills. Therefore, more studies should be done to determine other factors that affect

performance of SMEs.

56

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APPENDICES

Appendix I: Questionnaire

Kindly respond to the following questions by ticking on the appropriate box (√) or filling

the answers in the blank spaces. Your input is highly appreciated. Information provided

will be handled with discretion and confidentiality.

SECTION 1: DEMOGRAPHIC INFORMATION

Part A: General Information

A. Gender

Male [ ] Female [ ]

B. Highest level of education

Primary School [ ] Secondary School [ ] Certificate [ ] Diploma [ ] Degree [ ]

Post Graduate [ ] Masters [ ]

C. Age range

Less than 25 years [ ] 26-35 years [ ] 36-45 Years [ ] 56 years and over [ ]

D. Number of years the business has been in operation

Less than 3 years [ ] 3-6 years [ ] 7-10 years [ ] 11- 14 years [ ] 15 years and over [ ]

E. Please indicate the number of employees in your enterprise

Less than 5[ ] 5-10 [ ] 11- 30[ ] 31- 50[ ] Over 50 employees [ ]

F. Kindly indicate your position in the organization.

Senior management level [ ] Middle management level [ ]

Lower management [ ] Regular staff [ ]

G. How has the organization applied strategy intervention within its system and

Processes?

Very Ineffectively [ ] Ineffectively [ ] Neutral [ ] Effectively [ ]

76

Very Effectively [ ]

H. How effective is the organization in terms of utilizing strategy interventions?

Very Ineffectively [ ] Ineffectively [ ] Neutral [ ] Effectively [ ]

Very Effectively [ ]

SECTION II: STRATEGIC INTERVENTIONS

PART A: Organization Training Strategy

To what extent would you rate the following statements concerning strategic

investment planning decisions? Use the scale: SD-Strongly Disagree; D-Disagree;

N-Neutral; A-Agree; and SA-Strongly Agree.

Statement 1 2 3 4 5

A The firm has the tendency to create and apply knowledge within

the organization.

B Training strategy has helped the firm in foreseeing

environmental and market changes.

C The organization actively encourages employees and customers

to give feedback and suggestions for improvements.

D Training strategy has increased the firms’ ability to innovate

E The firm has a common mental model of its future state that

provides the basis for its actions.

F All members of the organization work and move towards a

desired agreed future.

G The firm evaluates its daily operations and accepts new ideas

easily.

H The firm is always willing to question its current thinking and

practices

I Organizational knowledge transfer has improved the

performance of the firm.

J Organizational knowledge transfer has enabled the organization

in generating new ideas for service development

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PART B: Market Intervention

To what extent would you rate the following statements with regards to strategic

investment planning decisions? Use the scale: SD-Strongly Disagree; D-Disagree;

N-Neutral; A-Agree; and SA-Strongly Agree.

Statement 1 2 3 4 5

A Market orientation is a significant part of the firms’ culture

B Market orientation in the firm has been formalized to exist in the

firm’s rules and regulations

C Market orientation has improved the firms’ market share and

profitability.

D Market orientation has improved customer satisfaction and

loyalty to the firm.

E The firm creates superior value to its customers through sufficient

understanding of their needs.

F Customer orientation has helped the firm in developing

appropriate service strategies that meet customer needs and

demands.

G The organization has intelligence (information about their

strengths, weaknesses and capabilities) about its competitors.

H The organization seeks intelligence about its competitors in order

to improve its service delivery.

The firm has a high degree of co-operation between its different

functions/departments.

I Inter-functional coordination helps the firm to analyze and use

information gained in its decision process.

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PART C: Access to Finance Skills and Performance

To what extent would you rate the following statements with regards to strategic investment

planning decisions and SMEs performance? Use the scale: SD-Strongly Disagree; D-

Disagree; N-Neutral; A-Agree; and SA-Strongly Agree.

A High cost of credit from financial institutions has

influenced the growth of profit margin in my business

B Lack of credit history for long-term credit from financial

institutions has influenced the growth of asset value in my

business.

C Lack or inadequate collateral for long term credit from

financial institutions has influenced the growth of asset

value in my business

D Lack of audited financial statements for long term credit

from financial institutions has influenced the growth of

profit margin in my business

E Access to long term credit with affordable interest rates

from financial institutions has influenced the growth of

sales turnover in my business

F Lack of awareness of funding opportunities for long term

credit by financial institutions has influenced the growth

of asset value in my business

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PART D: PERFORMANCE

Please circle the choice that you feel suits your situation/opinion from the choices provided

by the Likert scale (1-5) where; 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 =

Agree, 5 = Strongly Agree.

Statement 1 2 3 4 5

A Your organization offers unique new products different form its

competitors.

B I am aware of marketing strategies offered by my firm.

C The organization offers training to its employees.

D Your firm gets finance from lending institutions with low interest.

E Customer emplacement aides the firm in developing appropriate

service strategies that meet customer demands.

THANK YOU FOR TAKING TIME TO ANSWER THESE QUESTIONS

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Appendix II: NACOSTI