UNIVERSITY OF GHANA COLLEGE OF HUMANITIES THE EFFECTS …
Transcript of UNIVERSITY OF GHANA COLLEGE OF HUMANITIES THE EFFECTS …
UNIVERSITY OF GHANA
COLLEGE OF HUMANITIES
THE EFFECTS OF THE ANTECEDENTS AND CONSEQUENCES OF
EMPLOYEE TURNOVER INTENTION ON ACCOUNTANTS’ JOB
PERFORMANCE IN GHANA
BY
DORDUNU WISDOM
(10364694)
A THESIS PRESENTED TO THE DEPARTMENT OF ACCOUNTING, UNIVERSITY OF GHANA BUSINESS SCHOOL, UNIVERSITY OF GHANA, LEGON, IN PARTIAL FUFILLMENT OF THE REQUIREMNT FOR THE AWARD OF DEGRE OF MASTER OF PHILOSOPHY (M.PHIL) IN ACCOUNTING
JULY, 2018.
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DECLARATION
I, DORDUNU WISDOM, do hereby declare that this thesis is the original work carried out by
me, and that, to the best of my knowledge, it contains neither materials previously published by
another person nor materials submitted in part or in whole for the award of any academic
qualification in any institution of higher learning with the exception of supporting literature that
has been duly acknowledged and referenced in the text.
.................................................... ……………………
DORDUNU WISDOM DATE
(10364694)
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CERTIFICATION
We hereby certify that this thesis was supervised in accordance with the procedures laid down
by the University.
…...………………………………… .……………………..
DR. GODFRED MATTHEW YAW OWUSU DATE (SUPERVISOR)
…………………………………………… ………………………
DR. SAMUEL NANA YAW SIMPSON DATE
(SUPERVISOR)
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DEDICATION
This work is dedicated to Mrs. Comfort Dordunu and Albert Nana Kwame Baafi
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ACKNOWLEDGEMENT
To him who is all knowing and all powerful be the glory forever more. I am grateful of the
Almighty God who through his infinite mercy has guided my steps from my origin to now, be
praise and glory. I am equally grateful to Dr Godfred Matthew Yaw Owusu and Dr Samuel
Nana
Yaw Simpson. I am also grateful to all faculty members of the Department of Accounting
University Of Ghana Business School especially Dr Cletus Agyenim- Boateng and Mrs Edem
Welbeck for their encouragement and support. I acknowledge the unflinching support of Most
Rev. Charles Gabriel Palmer- Buckle, Msgr. Jonathan T. A. Ankrah, Rev. Fr. Donatus Pallu, Mr
Christian Wordie, Gabriel Kwame, Mr. John Baptist Nibenee, Mr and Mrs Anthony Akuamoah
Boateng, Miss Lydia Normenyo and Miss Diana Asare- Bediako. To Mrs. Maureen Oquaye, I
am very grateful for your support. Finally to my family especially, Mrs Angelina Adama, Mrs
Emelia Salami, Mr. Hope Dordunu and Mr. Anthony Dordunu, I ask for divine protection upon
you for your encouragement.
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TABLE OF CONTENTS
DECLARATION ............................................................................................................................. i
CERTIFICATION .......................................................................................................................... ii
DEDICATION ............................................................................................................................... iii
ACKNOWLEDGEMENT ............................................................................................................. iv
TABLE OF CONTENTS ................................................................................................................ v
LIST OF FIGURES ....................................................................................................................... ix
LIST OF TABLES ........................................................................................................................... x
LIST OF ABBREVIATIONS ....................................................................................................... xi
ABSTRACT ................................................................................................................................. xii
CHAPTER ONE: INTRODUCTION.............................................................................................. 1
1.0 Background of the Study ...................................................................................................... 1
1.1 Statement of the problem ...................................................................................................... 4
1.2 Purpose of the Research ........................................................................................................ 6
1.3 Objectives of the Study ......................................................................................................... 7
1.4 Significance of the Research ................................................................................................. 7
1.5 Organization of the Study ..................................................................................................... 8
CHAPTER TWO: LITERATURE REVIEW .................................................................................. 9
2.0 Introduction ........................................................................................................................... 9
2.1 Theoretical Background ........................................................................................................ 9
2.1.1 Theory of Planned Behavior ......................................................................................... 10
2.1.2 Social Identity Theory .................................................................................................. 12
2.2 Empirical Review ................................................................................................................ 13
2.2.1 Accountants Job Performance ...................................................................................... 13
2.2.2 Turnover Intention ........................................................................................................ 20
2.2.3 Religiosity, turnover intentions and job performance .................................................. 25
2.2.4 Spiritual Intelligence..................................................................................................... 27
2.2.5 Workplace spirituality ................................................................................................... 29
2.2.6 Spiritual Intelligence, Turnover Intentions and Job Performance ................................ 32
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2.2.7 Emotional Exhaustion................................................................................................... 33
2.2.8 Emotional exhaustion, turnover intentions and Job performance ................................ 35
2.2.9 Turnover Intentions in accounting firms ...................................................................... 36
2.2.10 Accountants‟ Job Satisfaction .................................................................................... 38
2.3 Research framework and hypotheses development ............................................................ 40
2.3.1 Organizational Commitment and Turnover Intention .................................................. 41
2.3.2 Job Satisfaction and Turnover Intention ....................................................................... 42
2.3.3 Religiosity and Turnover Intention ............................................................................... 43
2.3.4 Spiritual Intelligence and Turnover Intention .............................................................. 44
2.3.5 Emotional Exhaustion and Turnover Intention ............................................................ 45
2.3.6 Turnover Intention and Accountant Job Performance .................................................. 45
2.4 Chapter summary ................................................................................................................. 46
CHAPTER THREE: METHODOLOGY ...................................................................................... 47
3.0 Introduction ......................................................................................................................... 47
3.1 Research Paradigm .............................................................................................................. 47
3.1.1 Positivism ..................................................................................................................... 48
3.2 Research Design .................................................................................................................. 50
3.3 Research Strategy ................................................................................................................. 52
3.4 Unit of Analysis .................................................................................................................. 53
3.5 Population and sample selection ......................................................................................... 53
3.6 Sampling Technique ........................................................................................................... 55
3.7 Research Instruments .......................................................................................................... 56
3.8 Data and sources of Data .................................................................................................... 56
3.9 Questionnaire Design .......................................................................................................... 57
3.10 Measurement of constructs ................................................................................................ 58
3.11 Pilot Study .......................................................................................................................... 59
3.12 Ethical Considerations ....................................................................................................... 59
3.13 Administration of Questionnaire ........................................................................................ 60
3.14 Data Preparation and analysis Process ............................................................................... 61
3.15 Data Analysis technique..................................................................................................... 61
3.15.1 Structural Equation Modeling (SEM) ......................................................................... 62
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3.15.2 Covariance Based SEM (CB SEM) ............................................................................ 63
3.15.3 Partial Least Square SEM (PLS SEM) ....................................................................... 63
3.15.4 Guidelines for using CB SEM or PLS SEM............................................................... 64
3.15.5 Reflective and formative constructs ........................................................................... 66
3.15.6 Assessing the measurement and structural models ..................................................... 68
3.15.7 Mediation Analysis ..................................................................................................... 71
3.16 Chapter summary ............................................................................................................... 72
CHAPTER FOUR: ANALYSIS AND DISCUSSION OF RESULTS ......................................... 73
4.0 Introduction ......................................................................................................................... 73
4.1 Profile of Respondents ........................................................................................................ 73
4.2 Descriptive statistics of Constructs ..................................................................................... 77
4.3 Framework of Analysis ....................................................................................................... 80
4.4 Empirical Results from the PLS – SEM ............................................................................. 83
4.5 Indicator Reliability ............................................................................................................ 83
4.5.1 Internal consistency Reliability .................................................................................... 83
4.5.2 Convergent Validity ..................................................................................................... 84
4.5.6 Discriminant Validity ................................................................................................... 84
4.6 Analysis of the Structural Model Results ........................................................................... 89
4.6.1 Variance Inflation Factor (VIF) Results ....................................................................... 89
4.6.2 The coefficient of determination (R2) .......................................................................... 92
4.6.3 Blindfolding .................................................................................................................. 93
4.6.4 Evaluation of Path Coefficients .................................................................................... 94
4.7 Hypotheses Testing ............................................................................................................. 95
4.7.1 Organizational commitment and Turnover Intention (H1)........................................... 95
4.7.2 Job Satisfaction and Turnover Intention (H2) .............................................................. 96
4.7.3 Religiosity and Turnover Intention (H3) ...................................................................... 96
4.7.4 Spiritual Intelligence and Turnover Intention (H4) ...................................................... 97
4.7.5 Emotional Exhaustion and Turnover Intention (H5) .................................................... 98
4.7.6 Turnover Intention and Accountant Performance (H6) ................................................ 98
4.8 Discussion of Mediation Analysis .................................................................................... 100
4.8.1 Organizational commitment and Accountant Performance........................................ 102
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4.8.2 Job Satisfaction and Accountant Performance ........................................................... 103
4.8.3 Religiosity and Accountant Performance ................................................................... 103
4.8.4 Spiritual Intelligence and Accountant Performance ................................................... 104
4.8.5 Emotional Exhaustion and Accountant Performance ................................................. 104
4.9 Chapter Summary ............................................................................................................. 105
CHAPTER FIVE: SUMMARY, CONCLUSIONS AND RECOMMENDATIONS ................. 106
5.0 Introduction ....................................................................................................................... 106
5.1 Summary of findings ......................................................................................................... 106
5.2 Implications of the findings .............................................................................................. 109
5.3 Limitations of the Study ..................................................................................................... 110
5.4 Recommendations .............................................................................................................. 111
5.5 Suggestions for Future Research....................................................................................... 112
5.6 Contributions ...................................................................................................................... 113
REFERENCES ............................................................................................................................ 115
APPENDIX ................................................................................................................................. 122
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LIST OF FIGURES
Figure 2.1: Conceptual framework ............................................................................................... 41
Figure 3.1: Forms of Construct .................................................................................................... 67
Figure 4.1: Conceptual Framework .............................................................................................. 80
Figure 4.2: Path diagram .............................................................................................................. 82
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LIST OF TABLES
Table 3.1: Classification of firms in Ghana based on revenue ..................................................... 54
Table 3.2: Distribution of firms in Ghana ..................................................................................... 55
Table 4.1: Demographic Characteristics of Respondents ............................................................. 75
Table 4.2: Descriptive for Indicators .......................................................................................... 129
Table 4.3: Fornell and Larcker criterion of Discriminant validity. .............................................. 86
Table 4.4: Results of Heterotrait-monotrait Ratio (HTMT) analysis. .......................................... 86
Table 4.5: Cross loadings ............................................................................................................. 87
Table 4.6: The results of outer VIF ............................................................................................... 90
Table 4.7: R Squared..................................................................................................................... 93
Table 4.8: Blindfolding ................................................................................................................ 94
Table 4.9: Path Coefficients, Direct Effect (P-value), Significant Level for All Hypothesized
Paths. ........................................................................................................................................... 99
Table 4.10: Total indirect effects of constructs .......................................................................... 102
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LIST OF ABBREVIATIONS
ACCA Association of Chartered Certified Accountants AVE Average Variance Extracted CA Cronbach Alpha CB SEM Covariance Based Structural Equation Modelling CET Critical Existential Thinking CIMA Chartered Institute of Management Accountants CR Composite Reliability CSE Conscious State Expansion ECH Ethics Committee for the Humanities EE Emotional exhaustion EQ Emotional quotient ERG Existence, Relatedness and Growth HTMT Heterotrait- Monotrait ICAG Institute of Chartered Accountant, Ghana IFAC International Federation of Accountants IFRS International Financial Reporting Standards IQ Intelligence Quotient JP Job Performance KPMG Klynveld Peat Marwick Goerdeler OC Organizational Commitment PLS SEM Partial Least Square Structural Equation Modelling PMP Personal Meaning Production PWC Price Waterhouse Coopers R Religiosity
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SD Standard Deviation SEM Structural Equation Modelling SI Spiritual Intelligence SPSS Statistical Package for the Social Sciences TA Transcendental Awareness VIF Variance Inflation Factor
ABSTRACT
High employee turnover among accountants is a phenomenon that has assumed a global
dimension requiring more attention from all stakeholders. So, this study investigates the effects
of the antecedents and consequences of turnover intention on accountants Job Performance.
Using evidence from Ghana, the study employed the survey research strategy. A total of 337
respondents (Accountants) working in 225 Auditing firms in Ghana were surveyed. The study
analysed the hypothesized relationships using the Partial Least Square Structural Equation
Modelling technique. The findings indicate that religiosity had no influence on Accountant Job
Performance. However, organizational commitment, Job Satisfaction, Emotional Exhaustion
had significant effect on Accountant Job Performance. Although Spiritual intelligence had an
effect on Accountant job Performance, it was not significant. This study is relevant to policy and
practice in that it recommends that management should put in place structures which will curtail
high accountant turnover rate in the firms and by extension enhance their performance. It also
adds to the limited literature on the spiritual component (religiosity and spiritual intelligence) of
the human person which is less considered in predicting turnover intentions of Accountants.
Finally, it recommends that religiosity should be used in future studies as a moderating variable
on constructs predicting turnover intention on Accountants job performance.
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CHAPTER ONE
INTRODUCTION
1.0 Background of the Study
An important issue that has attracted significant attention from stakeholders in the accounting
profession for decades is the high turnover rate of personnel in accounting firms (Park & Shaw,
2013). Generally, employee turnover has been defined as the average of those who exit the
organization shared by the number of employees in the organization within an era (Ongori,
2007). While issues of employee turnover have been studied extensively in prior studies (Ferris
& Breckenridge, 1986; Reed, Kratchman & Strawser, 1994; Weaver & Agle, 2002; Liu, 2005;
Masemola, 2011; Park & Shaw, 2013), it still remains very topical in the field of accounting as it
is one of the profession characterized by high employee turnover rate.
Statistics available globally indicate that employee turnover rate in most accounting firms is
higher than most of the other professions, and continues to be on the rise (Goldstein, 2014). In
the United States for instance, it is projected that close to 15% of accountants resign from their
jobs during the very first year of their engagement at work, while less than 50% survive their
second year (Hermanson, Dana & Hermanson, Roger, 1995). Similarly, a report of the
Professional and Business services in the United States where turnover rate of various
professions in the business field were compared, it came to light that the turnover rate of
accountants was 27.8% (U.S Annual employment turnover rates by industry and Geographical
Region 2000-2013). Within the context of Indonesia, Pradana & Salehudin (2013) report that less
than 50% of Accountants survive the first year of their engagement at work.
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Within the context of Africa, the story is not different as turnover rates in most African countries
for the accounting profession is reported to be high. In South Africa for instance, a report by
Price Waterhouse Coopers (2014) estimates the turnover rate of Accountants to be approximately
23%. These statistics give a worrying trend of how the Accounting profession faces high rate of
employee turnover across the globe. Interestingly, the supply of accountants all over the world on
the other hand has been woefully inadequate relative to the demand over the years. The supply of
professional accountants in countries such as Germany, Hong Kong, Australia, and
Botswana have over the years fallen short of the market demand by between 40 to 80% (IFAC,
2007).
Statistically, the International Federation of Accountants‟ (IFAC) classifies the African continent
in particular as one of the most challenged in terms of the capacity to meet the demand for
accounting professionals (IFAC, 2007). Against the backdrop that the global demand of
accountants outweighs the current supply and the fact that turnover rates continues to be high in
the accounting profession, the need to examine the components that impact the turnover rates of
accountants cannot be overemphasized.
Kevin et al. (2004) argue that whereas there is no standard framework to comprehend
employee‟s turnover process wholly, a plethora of factors have been identified in the
interpretation of why employees quit their jobs. Among these factors include; stress (Fogarty &
Kalbers, 2006), job satisfaction (Awais, Malik, & Qaisar, 2015), organizational commitment
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(Muindi & K ‟obonyo, 2015), organizational citizen behaviour (Anwar & Osman-gani, 2015),
organizational justice (Entesarfoumany & Danshdost, 2014), organizational instability (Ongori,
2007). While the relevance of these factors in explaining the turnover rates of employees is well
established in the literature, emerging studies (Yücel, 2012; Bluedorn et al., 2004) have argued
that an important way of examining the turnover rates of employees is to investigate their
turnover intention. From theoretical perspective, the hypothesis of Reasoned Action and the
hypothesis of Planned Behavior assert that the intention of an individual is usually an important
predictor of the actual behavior of that individual. Indeed, Johnson and Daily (1999) have earlier
demonstrated that between 9-25% of actual turnover is predicted by behavior.
Another key factor is religiosity. Ghana has been touted as a Religious country. With the advent
of the early missionaries into the Gold coast in the 15th century, not only was education
introduced but an aspect of mission was the introduction of the Christian religion. According to
the 2010 Housing and Population census, Christians form 71.2%, Islam 17.6%, Traditionalists
5.2%, others 0.8% with those not affiliated to any Religion being 5.3%. This goes to affirm that
the average Ghanaian Accountant or worker is affiliated to one Religious group or the other.
Organizations incur various costs when employees quit including costs of hiring new ones,
orientation, decreased productivity and temporary replacement costs. It is estimated that cost of
replacing accountants for instance who voluntarily quit their work is as much as 150% of the
former worker‟s salary (Haskins, Baglioni, & Cooper, 1990). This in part explains why studies
on turnover intentions has seen significant research attention in many disciplines including
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Nursing (Lu, Lin, Wu, Hsieh, & Chang, 2002), Medicine (Lu & Xiao-min, 2017) Psychology
and the hospitality industry (Lam Terry, Adelo, 2002).
On the other hand, employees who remain in an organization where the turnover rate is high are
less beneficial and less productive than they would have been in a lower turnover condition.
Thus, they must take up other roles assigned to them to fill the vacant positions left by colleague
employees who have exited, prepare new representatives upon their landing, and cope with a
unhappy work culture and environment. Hence, firms where the retention rate is low and the
turnover rate is high are often less competitive and productivity could be greatly affected. This
study revisits the turnover rates discourse in the accounting profession by investigating the
turnover intention of accountants, the predictors of turnover intentions and the effect of turnover
intentions on accountants‟ performance.
1.1 Statement of the problem
A plethora of contemporary literature on voluntary and involuntary turnover clearly indicates that
it is a growing concern for organizations as it usually signals the loss of the most talented and
skilled employees ( Park & Shaw, 2013; Saeed, Waseem, Sikander & Rizwan, 2014; Jannah,
Baridwan, & Hariadi, 2016). Scholars argue that employee turnover leads to loss of valued social
and financial capital, affects the morale of remaining employees, reputation of the firm is
affected negatively (Park & Shaw, 2013; Saeed, Waseem, Sikander & Rizwan, 2014; Jannah,
Baridwan, & Hariadi, 2016).
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A recent survey by Bloomberg Businessweek indicates that although the “Big Four” accounting
firms; Price Waterhouse Coopers (PWC), KPMG, Deloitte and Touché, Ernst and Young;
employ high numbers of university graduates (Lavell et al., 2011), majority of them barely
survive the first two years of their engagement at work (Chong & Monroe, 2015). Moreover, in
terms of the career paths of college graduates who remain at the Big Four, it takes 10-16 years to
reach the highest level. By early 2000‟s Partners under the age of 36years has decreased from
73% to 49%. By implication, turnover rates in most accounting firms are generally considered to
be high.
While the factors that account for the high turnover rates of employees have been examined
extensively by prior studies, the focus of most existing studies have been on the physical needs
of employees and how such factors impact on their decision to quit their jobs. Accordingly,
factors such as job satisfaction, emotional burnout, career development, job commitment,
rewards have dominated the turnover rates discourse (Zimmerman & Darnold, 2009).
Notwithstanding the relevance of these factors in explaining the high turnover rates among
employees, the physical needs of employees are by no means exhaustive in predicting their
behaviour as the human person is composed of both the physical and the spiritual (Anwar &
Osman-gani, 2015). As Fogarty & Kalbers (2006) earlier assert, most studies dealing with the
human person usually tend to look at the physical aspect with little attention on the spiritual
dimension. As indicated by Osman-gani (2015) the spiritual aspect of the human person should
also be considered in studies that predict turnover intention of the accountant because the totality
of the human person must be subjected to critical enquiry. This study therefore extends
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knowledge in the literature by exploring the predictors of turnover intention of accountants
considering both the physical and spiritual factors.
Also, most existing studies on turnover intentions have focused largely on the determinants of
turnover intention without examining the consequences thereof (Lu & Xiao-min, 2017). This
study therefore extends literature on this front by ascertaining whether turnover intention have
any implications on accountants‟ performance.
Again, in terms of context, existing studies on turnover intention have focused predominantly on
the developed countries with little attention on countries from the African continent (Chatzoglou,
Vraimaki, & Komsiou, 2011). Considering the fact that the African continent has been identified
to be the continent that is most challenged in terms of the global demand of accountants (IFAC,
2007) studies that focused on African countries are useful in finding lasting solutions to the
challenge of shortages of professional in Africa. Thus, contextually the study fills an important
opening in the literature by providing more or less evidence on the issues that influence turnover
intentions of accountants from a developing country perspective.
1.2 Purpose of the Research
The purpose of this study was to examine the turnover intentions of accountants in Ghana, the
predictors of turnover intentions of accountants and the effect of turnover intentions on
performance of accountants working in accounting firms in Ghana.
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1.3 Objectives of the Study
Specifically, the study seeks to;
1. Examine the turnover intention of accountants.
2. Investigate the determinants of turnover intention.
3. Investigate the effects of turnover intention on the performance of accountants.
1.4 Significance of the Research
The study made a lot of contribution in the area of methodology, theory and practical
considerations. Firstly, this study aimed to add to the literature by extending the framework put
across by Fogarty et al. (2000). The study integrated religiosity, spiritual intelligence and
emotional exhaustion as antecedents of turnover intention model.
Secondly, larger part of studies have concentrated on the effect of factors, for example, work
fulfilment and authoritative duty on turnover intention in public/government accounting firms.
However less study has focused on the factors and the effects of turnover intention among
accounting professionals in the Ghanaian context and particularly in the private sector. This
thesis, therefore sought to examine the various antecedents that influence the turnover intention
of professional accountants in private accounting firms.
Thirdly, results of this study clearly shows that despite the competition for high skilled
manpower, leaders can come to the realization of how their social and emotional functioning
can contribute to building an environment that promotes retention. Thus analysis of these
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determinants may help in the active retention efforts of those employees who prove their worth
and the firm wishes to retain.
To academia, the findings of the study provide new insight on turnover intentions of accountants
from the developing country‟s perspective where research in this area has been at the evolution
stage.
1.5 Organization of the Study
The study is organized into five chapters. Chapter one gives a general overview of the study. It
includes the background, the problem statement, research objectives, purpose of the study and
the significance of the study. Chapter two reviews related literature both previous and current on
the determinants of turnover intention. Here the researcher explored the studies that have been
done on the turnover intention and those that have been understudied or yet to be done. Chapter
three discusses in detail the research methodology. It discusses among other things the research
design, sampling technique, data collection instruments as well as data analysis process. Chapter
four presents and discusses the data collected. Chapter five gives the summary, conclusion,
recommendations of the study.
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CHAPTER TWO
LITERATURE REVIEW
2.0 Introduction
In this chapter, theories propounded by previous researchers that are related to the study are
reviewed. Previous studies conducted on job satisfaction, organizational commitment,
religiosity, spiritual Intelligence, turnover intention and emotional exhaustion are also reviewed.
It emphasizes and highlights various practical experiences that relates to the research topic.
2.1 Theoretical Background
Several theories have been applied to examine the antecedents and consequences of turnover
intentions. For example Job satisfaction employs the theories of motivation. Motivation refers to
the factors that account for the course and the energy level a person puts in his work. Theories
that apply work motivation to job satisfaction are grouped into two main structures namely;
content theories which emphasizes the value of work (Maslow‟s need hierarchy theory,
Aldefer‟ ERG needs, Herzberg‟s two factor theory, McClelland‟s Need theory); and process
theories which explains how the qualities of a profession relate with variables such as
expectations, needs and values of the employees that need to be met (Vroom‟s Expectancy
theory, Locke‟s goal setting theory, Hackman and Oldham‟s job characteristics model).
Maslow‟s theory of needs consists of a five tier model of human needs, repeatedly shown as a
hierarchy of levels within a pyramid. It states that “people are motivated to achieve certain needs
and that some needs take precedence over others”. Similarly, Aldefer's ERG theory prioritizes
human needs into three phases namely, existence, relatedness and growth needs. The most easiest
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and concrete to identify among the three needs is existence needs. Empathy needs are less
tangible compared to survival needs, which relies on an association between two or more people.
Unlike the first two needs, development needs are minimal cement in that their peculiar
objectives be contingent on the individual. Some job factors lead to satisfaction (Herzberg, 1967)
while other job factors prevent dissatisfaction. The factors that lead to satisfaction is categorized
into health factors (pay, policies, benefits, working conditions, interpersonal relationships) whilst
the factors that lead to dissatisfaction grouped into motivational factors (recognition, sense of
achievement, growth and promotional opportunities). The McClelland‟s theory of motivation
orbits around three important aspects, namely, Achievement, Power and Affiliation.
Vroom‟s Expectancy theory is on the assumption that behaviour emanates from the choices a
person makes when he is presented with alternatives and the rationale for this choice is to
maximize pleasure and minimize pain. According to Locke‟s goal setting theory, a person sets a
goal in order to perform a task and when that task is achieved it serves as motivation for the
employee. Similarly Hackman and Oldham (2016) indicate that task is key to employee
motivation. When a job is boring and monotonous, it inhibits desire to perform whereas a more
challenging job enhances motivation.
2.1.1 Theory of Planned Behavior
The Theory of Planned Behavior (TPB) is an adjunct of the Theory of Reasoned Action (TRA)
(Ajzen, 1991) made essential by the limitation of the original model in tackling behaviours over
which people have volitional control. Close to the original TRA, a core element in the TPB is a
person‟s willingness to perform a given behavior. Intentions are assumed to encapsulate the
motivational factors that influence a behavior, they show how people are willing to go all length
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to perform the behavior. The TPB was based on the assumption or idea of attitudes and behavior
(Fishbein & Ajzen, 2005). Hence, the TPB believes that attitudes of certain individuals is seen
as a good predictor for the individual actions or behavior (Fishbein & Ajzen, 2005).
Further, the TPB presumes that individual persons have their individualistic intentions towards
every actions and attitudes and hence, these intentions form the antecedent of the behavior that is
being exhibited by the individual persons (Fishbein & Ajzen, 2005).The intention is then
assumed to be influenced by the attitude of individuals towards their respective behavior
(Fishbein & Ajzen, 2005). The outcome is that the individual‟s attitude that forms their behavior
is mostly based on their underlying behavioural beliefs (Fishbein & Ajzen, 2005). In this regard,
the individual‟s beliefs as a consequent of their behavior is as a result of their respective
individualistic religiosity and spiritual values (Fishbein & Ajzen, 2005).
Moreover, religiosity and spirituality serve as part of the contributing factors that form individual
attitudes. This is because religiosity and spirituality allow individuals to form certain beliefs and
feelings, attitudes based on the kind of beliefs that is being attributed to the individual‟s religious
background. Therefore, the individual‟s beliefs in their religion and spiritual values help develop
specific attitudes that allow the individual to exhibit good behavior patterns at their work
environment (Fishbein & Ajzen, 2005). This results in practicing and performing good morals
that prevent the individual workers from acting against their religious beliefs and spiritual values
and hence serving as a guiding principle in their job activities that helps in improving job
performance. Generally, when the intention to engage in a behavior is well pronounced, the
likelihood for its performance is high.
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2.1.2 Social Identity Theory
The Theory of Social Identity is based on the assumption that the extent to which an individual
profession can lose its independence is much dependent on the extent to which the individual
profession identity perfectly dominates its client‟s identity (Bauer, 2015). It is believed that
various job professions have some kind of attachment with their clients and fellow work mate
(Bauer, 2015). Hence, due to the attachment between work profession such as accountants and
their superiors or clients, this allows these individual job professions to align their own interest
along with the interest of the superiors or clients in a given organization (Bauer, 2015). This
implies that the accountants are in the best position to act in favour of their superiors or clients
since their interest are now in line with them without necessarily considering their actions to
check if they are in line with their values. Therefore, these job professionals can go to the extent
of performing unethical actions on behalf of their superiors or clients because of the kind of
attachment being exhibited between the two parties (Bauer, 2015). In this regard, the individual
job profession might lose its self-dependent and objective way of performing its work (Bauer,
2015).
However, in a situation whereby the individual job profession such as an accountant in a given
organization has some strong religious beliefs and spiritual and emotional intelligence (Bauer,
2014), this will allow the individual accountant to stick to his/her religious beliefs and spiritual
values without necessarily attaching themselves to their superiors or clients. This tends to serve
as a guiding principle since religiosity and spiritual values allow these individuals to stick to their
respective beliefs and values that help them in their decision making and work activities without
any conflict in the organization (Bauer, 2014). The researcher tends to conclude by indicating
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that religiosity, spiritual intelligence and emotional exhaustion, organizational commitment, job
satisfaction, have the ability to give the individual a different identity and social independence.
This helps individuals by way of performing their job activities that coincide with their beliefs,
values and emotions and hence; improving job performance.
2.2 Empirical Review
This section of the study presents an extensive review of current and previously published
literature relevant to the turnover intention of the accountant.
2.2.1 Accountants Job Performance
The accountancy profession exists as a means of public service. In recent times, the accounting
profession has been critically examined and pressure has been mounted on it by the environment.
(Folami & Bline, 2012). Some of these issues are the globalized nature of the market place,
progress made in the field of technology, mergers of firms, litigation, and increased regulation
(Schuetze, 1993; Vasarhelyi, Teeter, and Krahel 2010; Fogarty and Parker 2010). For a very long
while, Job Performance as a dependent variable has been studied. Borman and Motowidlo (1997)
distinguish between two kinds of behaviours that are important for organizational effectiveness,
namely, task performance and contextual performance. Task performance is associated with
behaviours which produces goods or activities which indirectly are related to the organization‟s
core technical processes. Whereas, contextual performance is individual tasks which are not
related in any way to their core task function. Additionally, these behaviours are essential
because they refine the organizational, social and psychological contexts serving as catalysts for
tasks activities and processes.
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Additionally, Folami and Bline (2012) argue that accountants‟ job performance and employee
turnover have been of critical concern to professional bodies specifically the accounting
profession for some years now; from the cost associated with losing key staffs with their
intellectual capital to the general performance of the organization are but some of the concerns
which have been identified. Accounting firms are concerned about the performance of their
human capital because of the possible effect it has on the organization‟s efficiency, effectiveness
and reputation. When turnover cost and job performance are managed successfully it helps in the
overall profitability and going concern of the firm (Folami & Bline, 2012).
Lam, Chen and Schaubroek (2009) on the other hand argue that when a person shows high
performance when a task is being accomplished results in self-efficacy, satisfaction and mastery.
Extant literature on Performance indicates that varieties of factors are considered for its
measurement. Included in these factors are organizational skills, time management, leadership
skills and efficiency to assess each individual employee (Saeed, Waseem, Sikander, & Rizwan,
2014). However, other factors like leadership, organizational justice, empowerment, participation
and organizational culture are the emerging trends in analysing organizational performance.
2.2.1.1 Determinants of Job Performance
The Performance of the accountant in every firm cannot be over simplified. The Accountant
owes it as a duty to make sure the organization in which he works does creditably well and he as
the subject in the organization also must perform. However, job performance of the Accountant
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is affected by certain factors. In existing literature, the following are the factors that affect Job
performance.
i. Leadership
Leadership is a critical component in the performance of most organizations. Leadership has
been defined by Mahadi (2011) as “the process whereby a person influences a group of
individuals to achieve common goals”. The style of leadership adopted in a firm is a composite
of the behavior and attitude of the leader which reflects in the handling of the followers
(DuBrin, 2004) . In the context of globalization, the leader‟s effectiveness contributes largely to
the effectiveness of most organizations. The globalized market is becoming very competitive
with most players devising new strategies and plans to be ahead of competitors.
The kind of leadership exhibited within an organization reflects either in encouraging or stifling
employee‟s performance (Armstrong & Murlis, 2007). In most organizations, the leader is the
critical factor. His actions and inactions go a long way in affecting the organization. The
decisions that the leader takes affect the organization and the human resource that the
organization makes use of. The leader motivates his followers to perform beyond their
capabilities by influencing them to pursue higher goals and replace their inward looking attitudes
with that of the organization‟s interest. The employees of the organization see the leader as the
trail blazer who must lead as they follow.
In the accounting profession, most of the employees (Chong & Monroe, 2013) are assigned to
work with leaders. If the leader‟s action is in contravention with the laid down statutes of the
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firm, it affects their performance and that of the organization at large. Some scholars have
identified Trust to be consistent with a leader‟s success in the organization (Bass, 1990).
However, Bartram and Casimir, (2007) identify credibility, perceived ability and confidence in a
leader‟s intention to enhance performance in the organization. His resolve and commitment to
the vision of the organization as shown by self-sacrificial behaviours that he portrays, is an
indication that the leader is “walking the talk” and thereby builds credibility (Jay A Conger,
Kanungo, & Menon, 2016). In terms of the ability of the leader to make sound decisions which
is a characteristic feature of accounting firms compels the followers to trust and perform their
assigned task.
ii. Organizational Justice
In every organization, the perception of fairness is key in encouraging the human resource of the
organization to put up their very best because in the event of any unfortunate situation, the
individual knows that justice will be administered. Organizational justice “refers to perceptions
of fairness” in an organizational setting (Greenberg, 1990; De Fabio and Palazzeschi, 2012). It
contributes to employee performance. From the equity theory of Adams (1966) when a person
perceives that his output at work does not commensurate with the reward receives at the end of
the period, it affects his contribution towards the enhancement of the organization. Empirically,
studies have shown that employees reduce their level of effort when they realize they are
underpaid and increase their effort when they have been overpaid (Greenberg, 1982).
Empirical research shows that organizational justice can be delineated into three distinct
dimensions namely, distributive justice, procedural justice and interactional justice. Distributive
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justice implies the fairness an individual expects to be given him at the end of accomplishing task
such as remuneration which is consistent with implicit norms for allocation (Adams, 1966).
Procedural justice indicates the fairness inherent in the procedure applied in the decision- making
process (Thibaut and Walker, 1975). Lastly interactional justice is the perceived fairness that
leadership applied in arriving at a decision (Bies and Moag, 1986).
Some scholars have indicated that organizational justice and job performance are related
positively (Nasurdin & Soon Lay, 2007). On the other hand, procedural justice has a positive
effect on contextual performance (Nasurdin and Khuan, 2007). Similarly, interactional justice is
positively related to task performance (Wang et al., 2010). However all three forms of justice had
effects on contextual performance (Devonish and Greenidge, 2010)
iii. Empowerment
For organizational effectiveness, empowerment of the accountant is very vital (Bartram &
Casimir, 2007). Empowerment as a concept has been theorized as the enhancement of the
“selfworth” of an individual in an organization (Conger & Kanungo, 1988). Empowerment helps
individuals to be more engaged at work and achieve the organizational goals. According to the
expectancy theory, the desire to increase a person‟s effort in a given work is contingent upon the
outcome that effort will lead to desired level of performance (Bartram & Casimir, 2007). Putting
the theory in perspective, when an accountant has the urge to accomplish a task he weighs the
outcome of the effort he puts in his work and the level of performance to be attained.
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Empowerment leads to success in the organization. In this case empowerment is seen as the tool
that can enhance the organizational effectiveness of the accountant by involving him in the
decision making process in the organization; which leads to accomplishing the assigned task in
the organization. However, some scholars have criticized the notion that empowerment as an
important ingredient in the organization is an illusion (Jones, Latham, & Betta, 2013). This
criticism stems from the fact that empowerment appears to be an autocratic decision making in
the organization by management rather than consensus building in the organization which is key
in enhancing the performance of employees in the organization. Thus it helps the management to
unravel problems in the organization and to proffer solutions which helps in the organizational
effectiveness of the accountant.
Contrasting this view, Kim and Fernandez (2015) indicate that employee empowerment reduces
turnover intention, enhances job performance and job satisfaction and this leads to his job
performance. Similarly, Sarwar and Khalid ( 2011) show that for the effectiveness of the
organization and enhancement of the performance of the employees, their empowerment helps
the employee to utilize his creative abilities to increase their performance in the organization.
iv. Participation
Lam, Chen, and Schaubroeck (2009) suggest that when employees are offered the opportunity to
be part of the decision making process where problems are identified and solutions offered in the
organization gives them a sense of being part of the organization. The overall effect of employee
participation is increased job performance and low turnover. Similarly, Karakas (2010) argue
that this new means of engaging employees at work in which they are empowered is
selffulfilling and financially rewarding to them and the organization as a whole. In addition,
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employees are encouraged to place an extra effort so that the objective of the firm is achieved
through performance and productivity (Thao & Hwang, 2010). This leads to retention of
employees, job satisfaction, motivation and productivity is increased in the organization
(Hassan, 2016). v. Organizational Culture
The concept of organizational culture relates to how values, norms and shared vision tell
employees how the organization is perceived and how they need to relate to the problems of the
organization (Hartnell, et. al., 2016) . In addition, Schein (1990) defines Organizational Culture
as “the common values and behaviours” which when taken into consideration results in the
achievement of the organizational goals. Organizational culture is the embodiment of the people
that differentiates them from each other, in or outside the organization. Included in this are
beliefs, values and behaviours of employees different from similar organizations (Hofstede,
1994).
A culture which is formidable in the firm is of importance because it aids the performance of the
employees (Deal, 1983) which eventually leads to achievement of goals and the overall
performance of the firm. Meanwhile, norms and values of organizational culture affect directly
and indirectly those involved in the organization (Shahzad, 2014). Although these norms are
intangible their influence on the employees and the organization cannot be over looked.
Swanpoel (2015) argues that where a strong organizational culture exists, it supports adaptation
and develops the organization‟s employee performance by influencing employees toward a
shared goal and objective. This shapes and channels employee‟s behavior to a specific direction
and is able to be at the top of operational and functional strategies. Smit (1992) indicates that
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“shared” value of employees is one of the basic components of organizational culture. By
implication, when the values of the organizational culture have been accepted by the employees,
it helps in their collective efforts in achieving organizational goals and it also enhances their
performance collectively.
2.2.2 Turnover Intention
Organizations are confronted with employee turnover; some employees leave the organization
voluntarily, while others are asked to leave the organization (involuntarily). This comes about
when the organization is carrying out downsizing; restructuring or the employee fails to
consistently meet the set target of the organization. Either way, it comes with varieties of costs,
for instance costs of replacing old employees, recruitment and the time spent in the selection
process. When the behavior of employees who have left the organization is studied, it is known
as turnover analysis.
To attempt to reduce completely the turnover of employees is impossible, however, efforts can
be made to tackle it. Evidence exists in literature that firms with low turnover tend to be more
productive and effective as against firms with high turnover of employees. The reason assigned
to this is that where there is low turnover, employees are seen to be satisfied with their job,
engaged in their job and are committed to the organization. Accordingly to turnover intention is
the deliberate action (Tett & Meyer, 1993) that a person conceives and takes to leave the
organization‟ (Arshadi & Damiri, 2013). Inherent in this definition is the fact that the
individual‟s intention to quit is voluntary and can be attributed to many factors like job
dissatisfaction, alternative job opportunities or career enhancement.
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Lambert and Paoline (2010), suggest that a criteria to measure the actual turnover is the turnover
intention itself. The reason is that it is the constant variable that precede the turnover action
(Aghdasi, Kiamanesh, & Ebrahim, 2011). Similarly, Barak et al. (2001) found that many
researchers used turnover intention as the dependent variable because the employee takes this
step directly before he actually leaves his job; thus, turnover intention is perceived to be the
unique predictor of employee actual turnover behavior (Aghdasi et al., 2011).
The TRA (Madden, Ellen, & Ajzen, 1992) used as a model shows that behavioural intention can
be predicted. Prior research indicates that turnover has a negative relationship with
organizations‟ performance (Zimmerman & Darnold, 2009), productivity (Tnay et al., 2013) and
efficiency through increased costs (Barsoum, 2015) therefore organizations that handle turnover
effectively avoid its negative consequences. Specifically, their effect on the firm‟s social capital
and the morale of employees (Barsoum, 2015).
2.2.2.1 Factors affecting turnover intentions in organisations
The Accountant‟s turnover intentions is influenced by many reasons like dissatisfaction from the
job, withdrawal from work, lack of job involvement and lack of organizational commitment or
role stress, leadership behavior and organizational culture (Barsoum, 2015). Prior studies
conducted to find out the factors which influence turnover intention have also identified
satisfaction with pay (Tnay et al., 2013) which is seen as having positive effect on turnover
intention. However Medina (2012) suggests that job satisfaction not satisfaction with pay has a
stronger influence on young adults‟ turnover intentions than mature adults. Similarly, in his
study to investigate the relationship between organizational commitment, job satisfaction and
turnover intentions Aydogdu (2011) opines that job satisfaction has a positive relationship with
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the three dimensions of organizational commitment. Additionally there is a significant negative
relationship between job satisfaction and employee‟s turnover intentions.
2.2.2.2 Organizational Commitment
Organizational commitment is conceptualized as the preparedness of the individual in a firm to
exhibit high tendency of allegiance to a firm and accepts the goals and values of the firm (Allen
and Meyer, 1993). Thus an employee who is committed to an organization imbibes the values,
tenets and norms of the organization and identifies himself with the goals of the organization. It
is a state in which a person becomes associated with the firm through his actions and beliefs that
support his participation (Salancik, 1977) in the organization. Inherent in this definition is the
fact that the individual establishes a psychological bond between himself and the organization.
At the heart of this definition is the fact that the individual‟s goals and that of the organization
are integrated (Hall, Schneider, Nygren, 1970).
The concept of Organisational commitment has been investigated extensively (Klein, Molloy &
Cooper, 2009). Evidence from literature indicates that organizational commitment is associated
with a number of organizational effects such as turnover, performance and organizational citizen
behavior (Cooper-Hakim & Viswesvaran, 2005; Mathieu & Zajac, 1990; Meyer, Stanley,
Herscovitch, & Topolnytsky, 2002; Riketta, 2002). Organizational commitment has been seen as
an essential variable in understanding the work behavior of employees in organizations
Possible reasons exist as to why commitment has received this interest. First, according to theory,
the level of commitment of an individual in a firm should be as a result of certain behaviours
especially turnover. Employees who are loyal to the organization are willing to remain with the
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organization and work towards its goals. Thus managers who encounter committed employees in
the firm offer incentives as a way of motivation to keep them in the firm. Hence, commitment
highlights attachment to the employing organization, including its goals and values.
2.2.2.3 Religiosity
The weakness of an organization reflects in the actions of individuals who work in the
organization. Thus each member is a representation of the totality of the membership of the
organization, and in like manner, a person‟s action is a reflection of the organization. The values
of an individual in the organization are also integral part of his development as a productive
member of society. Thus religion is an integral part of every individual. The desire to relate to a
higher being other than oneself has been in existence several centuries ago. The values espoused
by individuals in an organization is a reflection of the socialization process of the individual. As
a result, strong value formation is likewise an important component of reform as well as a right
step in limiting negative behavioural activities that impinge on job performance and attitudes.
The recent scandals involving multinational companies like WorldCom, Enron and Arthur
Andersen in 2002, have generated a lot of interest in the corporate world. Some have questioned
the religious background of those involved in such scandals. According to Farah and El Samad
(2014) religiosity is conceptualized as the extent of attachment and commitment to religious
values, beliefs, and their influence on the daily undertakings by a person. Additionally the level
to which an individual holds or cherishes these values and ideals (Delener, 1990).
Parboteeah and Kapp (2008) suggest that religiosity can be divided into three (3) main levels.
These are: Cognitive Religiosity, Affective Religiosity and Behavioral Religiosity. Cognitive
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Religiosity implies the extent of a person‟s religious beliefs and doctrine. Affective Religiosity
means the extent of a person‟s allegiance and affection towards religious person‟s, items and
institutions. Behavioural Religiosity is an element of Religion that is associated to an
individual‟s deeds such as frequency of prayer, place of worship, church attendance, study of
Religious texts (Bible, Quran, etc.) (McGuire et al., 2012).
Some scholars argue that religiosity mitigates Agency Cost (McGuire et al., 2012) and reduces
negative corporate behavior like fraud prevention (Purnamasari & Amaliah, 2015). Religion as a
construct has been measured using church attendance or religious affiliations (McGuire et al.,
2012) while others have measured religion through multiple measures i.e. extrinsic religiosity,
intrinsic religiosity and work place spirituality. Extrinsic Religiosity is a religious orientation
which is motivated by extrinsic benefits (e.g. social benefits) (Sauerwein, 2017). While some see
extrinsic religiosity as significantly related to ethical sensitivity leading to ethical decision
making by the accountant, others see intrinsic religiosity to be significantly related to ethical
decisions leading to performance (McGuire et al., 2012).
According to De noble et al., (2007) prior studies have categorized people‟s inclination toward
religiosity into two groups namely, intrinsic and extrinsic religiosity. Bergin (1994) opines that
the intrinsic religious person has internalized the belief system and follows it regardless of social
pressure (Rulindo & Mardhatillah, 2008). Additionally, Boadella (1998) indicates that intrinsic
religiosity is the principal, uncomplicated message at the summit of a religion (Rulindo &
Mardhatillah, 2008). Practically, the intrinsic religious individual is the one that is typically
viewed as overlapping with the broader notion of spirituality. Intrinsic religiosity is associated
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with various pathological behavior (Rulindo & Mardhatillah, 2008). Extrinsic religiosity on the
other hand is the usage of religion to garner support from society (Bergin, 1983).
Weaver and Agle (2002) suggest that a person‟s religious role expectations can influence his
ethical behavior or values at work. Scholars agree that a person‟s orientation towards religion
has a remarkable effect on his point of view and conducts. It was concluded that an intrinsic
religious orientation correlates positively with emotional intelligence, whereas extrinsic religious
orientation has a negative association with emotional intelligence (Liu, 2010).
Brandt (1996) distinguishes between spirituality and religiosity. According to him, religiosity
ordinarily entails discourse about belief systems and a person‟s commitment to those systems
(Rulindo & Mardhatillah, 2008) whereas spirituality is generally seen as a broader concept of
developing an individual as a „whole person‟. In other words, the religious individual acts on his
belief system or religious tradition; however, spirituality is often thought of as a personality
dimension involving the beliefs and values that imbue one‟s perceptions of life (Devi, 2016).
Nevertheless, according to Cavanagh (1999) religiosity and spirituality could be seen as
complementing each other since to develop spiritually an individual needs a religious
background as there are evidences on spirituality in the business world which has received
considerable attention in recent years.
2.2.3 Religiosity, turnover intentions and job performance
Religiosity indicates an individual‟s association with and commitment to the ethics and
principles of a religion. According to Mohklis (2006) religiosity is a person‟s level of
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commitment to a religion. Inherent in this definition is the integration of religious values by the
individual in all spheres of life. A significant trend in most organizations currently is religious
worship before the start of the day‟s work. This action in these organizations give an indication
that the employees of the organization are affiliated to one religious faith or the other. Religious
beliefs could have an outstanding effect on employee behavior and production in the work place.
However, individuals desiring to fulfil their spiritual and religious requirements are unable to do
so due to time constraints (Sharabi, 2009).
From literature it is evident that Religiosity has significant impact on the lives of people (Joshua
Sauerwein, 2017; Rahaib et al., 2012; Pupung Purnamasari &Amaiah, 2015). Mitroff and Denton
(1999) conducted an empirical study about Religiosity at the work place. They concluded that
nearly all respondents believed in a higher power of God over anything and about 50% of the
number believed they felt a spiritual power whilst at work. Similarly, Oler (2004) revealed that
both Religiosity and Spirituality had an effect on day-to-day activities at work and
leader/follower trust levels among nutrition directors and their juniors. Further, Ferreira
Vasconcelos, (2009) opined that Religion through its principles inclines to influence workers‟
behaviours, perceptions and their decision making. Adams (2008) concluded that a positive
relationship exists between prayer and motivation (Anwar & Osman-gani, 2015). Religiosity
through prayer activities increases employee morale and productivity and decreases employee
turnover (McCarty, 2007).
Religiosity compared to Spirituality has less significance in Job Performance. Religiosity can
impact on Job Performance through positive values and commitment (Anwar & Osman-gani,
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2015). People desire to have a job which is meaningful to engage in (Mitroff & Denton, 1999). To some, Spirituality and Religion are interrelated; therefore, Spirituality connotes Religion
(Neck & Milliman, 1994). Prior research have looked at how Religious beliefs, affiliations and
behaviours might relate to important work place attitudes. Religiosity has a favourable
association with Job Satisfaction, between religiosity and job commitment (Sikorska-Simmons,
2005). This leads to increased performance on the part of the individual and the organization.
The intrinsic religious person sees religion as part of him and his actions and decisions are
influenced by his religiosity whereas the extrinsic religious person sees religion as an end in
itself and what benefits to be derived from association with a religion. Intrinsic Religious people
are likely to be dissatisfied when working in an environment they perceive to be violating their
belief systems (Kutcher, Bragger, Rodriguez-Srednicki, and Masco, 2010). This then leads to
their intention to quit the organization when they realize there is conflict between their values
and that of the organization. The argument then is the fact the intrinsic religious person may see
work as competing with his religious beliefs and values. Extrinsic Religious people have a
different experience with job involvement (Knotts, 2003; Strümpfer, 1997). The conclusion that
can be drawn is that it is possible individuals working in an organization have values which are
congruent with that of the organization.
2.2.4 Spiritual Intelligence
Prior studies identified three general perspectives of spirituality (Krishnakumar & Neck, 2002)
namely, the intrinsic-origin, religious and the existentialist outlooks. The intrinsic-origin view of
spirituality maintains that spirituality either originates from inside an individual or else it
involves being connected to others (Krishnakumar & Neck, 2002). This view is evident in
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Guillory‟s definition of spirituality as “our inner consciousness” (Krishnakumar & Neck, 2002)
and Stamp‟s definition as the realization within individuals and a sense of connectedness that
exists between inner selves and the world” (Korac Kakabadse, Kouzmin & Kakabadse, 2002).
The religious perspective of spirituality stems from the fact that each religion has a specific
perspective of spirituality (Krishnakumar & Neck, 2002). According to this perspective,
spirituality refers to the individual‟s experience of God, Allah, Jesus, the Transcendent or the
Ultimate (Tischler et al., 2002). Meanings of religion are reflected in the following Merriam-
Webster Dictionary (2013) definition of spirituality, namely, “of, relating to sacred matters;
ecclesiastical rather than lay or temporal; concern with religious values; of, related to, or joined
in spirit”. This definition clearly reflects the strong religious influences on spirituality
(GarciaZamor, 2003).
The third perspective of spirituality pertains to existentialist views (Krishnakumar & Neck,
2002). The religious view of spirituality has generally been rejected, especially in business and in
the workplace, because organizations do not want to be accused of coercing people to a particular
faith or favouring those with a similar belief to the prevailing belief system (Korac Kakabadse et
al., 2002; Fry & Matherly, 2006). Dent et al., (2005) argue that most writers contend that
spirituality should be defined separately from religion and maintain that religion and spirituality
should be treated separately in order to “honour the integrity of both domains” (Dent et al.,
2005).
In spite of the lack of construct definitions of spirituality, Howard and Welbourn (2004)
identified three common themes emerging from most of the definitions of spirituality:
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First, Interconnectedness which implies that individuals are connected to themselves, others, the
entire universe and a higher power. Second, Principles, this indicates that spirituality is
dependent upon principles such as virtues, ethics, values, wisdom and intuition. Third,
Authenticity which is the order between the personal inner experience and outer behaviours,
principles and practices.
2.2.5 Workplace spirituality
Several definitions have been presented regarding workplace spirituality (Karakas, 2010).
However, there is no global agreement about the definition of work place spirituality and the
existing definitions are limited, ambiguous and contradictory (Cavanagh, 1999). There are two
common factors in all the definitions which have been put forward. First spirituality is a complex
and multi-dimensional concept and second this concept is subjective and personal. Marques et
al., (2005) mentioned other reasons of the needs of organization to workplace spirituality as
entering the new millennium, increasing searching for meaning at work, stability searching in the
current unstable world, moving to the holistic life, more participation of women at work places,
the movement of developed countries from the physical needs to intellectual needs.
Various dimensions have been put forward by scholars on work place spirituality. The present
study applied Rego and Cunha dimensions (Rego et al., 2008). These dimensions are grouped
into five and are defined as follows:
i. Team‟s sense of community: Including a deep relationship with others that is defined as
integration feeling and is found at the group level of human behaviours and alludes to the
interaction between the employees and co-workers.
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ii. Alignment between Organizational and Individual Values: This dimension includes the
items showing the alignment between the organizational values and personal values.
Alignment means the managers and employees in an organization have values which are
related, strong conscientiousness and the organization considers the society‟s welfare
and
that of the employees.
iii. Sense of contribution to the community: This is the sum of items in which the conducted
work by that person is suitable for his internal life values and is useful for the society.
iv. Sense of Enjoyment at work: It shows the items related to enjoyment and happiness at
work.
v. Opportunities for Inner Life: This dimension includes the way the organization respects
spirituality and considers the spiritual values of people.
Developed by Emmons (2000), Spiritual intelligence forms both types of Emotional quotient
(EQ) and Intelligence quotient (IQ). In other words, EQ and IQ are rooted in spiritual
intelligence. Spiritual intelligence joins the spirituality constructs and intelligence inside a new
construct. Spirituality is related with searching and experience of holy elements, meaning,
transcendental awareness and excellence, spiritual intelligence need such spiritual issues for
conformity and effective interaction and production of valuable products and outcomes. When
people are able to tackle and offer solutions to problems in relation to meaning and value of life,
placing their actions and living meaningfully (Zohar & Marshall, 2000) spiritual intelligence is at
work.
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Spirituality predicts functioning, adaption and offers capabilities that enable people to solve
problems and attain goals (Emmons, 2000) which is an element of intelligence. Spiritual
intelligence was a term used extensively by Zohar and Marshall (2000). The notion of Spiritual
intelligence was further enhanced by Gardner (2004) in the theory of multiple intelligence.
Spirituality is the individual‟s search of elements of the sacred which are experienced, deep
meaning, unity, connectedness, transcendence and the highest human potential (Emmons, 2000).
Spiritual intelligence on the other hand employs these subjective experiential themes of
spirituality associated with meaning within a cultural context or community (Emmons, 2000).
Spiritual intelligence is a non-material dimension – like the Human soul, and it can be likened to
rough diamond which every human being has (Khavari, 2000). It is the duty of every human
being to polish it with compliance to attain eternal happiness (Khavari, 2000).
Admittedly, when an employee brings spiritual intelligence to the workplace, work is perceived
differently. Work ceases to be a normal routine of making money but a creative process to offer
service and contribute to the enhancement of the firm. The employee is regarded and handled as
a person and not objects to be exploited, and the individual has the chance to learn the inner,
invisible and subtle skills of building and sustaining relationships in any area of life.
According to King (2008) spiritual intelligence has four dimensions. These dimensions are
critical existential thinking, personal meaning of production, transcendental awareness and
conscious state expansion. Critical existential thinking (CET) refers to the propensity to reflect
the meaning of life, reason and other worldly issues. Personal meaning production (PMP) is the
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ability to deduce individual importance and reason from all physical and mental encounters,
including the capacity to produce and gain mastery over life‟s purpose. Transcendental
awareness (TA) is the employee‟s ability to come to terms with impressive self-measurements,
others and of the physical world amid typical conditions of awareness, joined by the ability to
recognize their connection to one‟s self and to the physical world. The final dimension is the
Conscious state expansion (CSE) which is ability to move around higher levels of spiritual
awareness at one‟s own discretion.
2.2.6 Spiritual Intelligence, Turnover Intentions and Job Performance
Spiritual intelligence ( SI) draws on spiritual resources that involve a set of abilities (Emmons,
1999; 2000). People with high SI experience, good health, are happier and more productive at
work (Tischler et al., 2002). SI is capable to drive a person to be creative in finding new values.
These values lead to performance (Zohar & Marshall, 2000). SI aids an individual to find the
deepest and most inner wealth out of which the desire to care, the ability to tolerate and adjust
(George, 2000) is attained. Since Spiritual intelligence is the human capability in practice which
controls the mind and effort in fulfilment of the beliefs in the Supreme power which is also an
implementation of behavioural control in keeping an individual in stability and remaining their
pure heart, it aids in Job Performance.
Meanwhile when SI is applied to the task assigned it leads to job performance in the workplace.
In analysing SI and Teachers‟ Job satisfaction, Kaur (2013) concluded that there is a remarkable
outcome between SI and Teachers‟ Job satisfaction. That notwithstanding in terms of Teachers
of government schools and that of private schools, there was a significant difference between
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them. Further, gender is not influenced by SI and job satisfaction (Kaur, 2013). High SI leads to
proper behavior (Zohar & Marshall, 2000). On the other hand, people with low SI have
problematic behavior. Deducing from the above, people with High SI will demonstrate higher
measure of Job Performance and satisfaction. Malik and Tariq (2016) suggest that Spiritual
intelligence leads to success in the organization. There is a strong relationship between
employee‟s SI and their Performance (Motakallem, 2014).
SI and profitability are related. When ethics and spiritual values are integrated into work it leads
to higher productivity, employees are happy and their relationship with customers help build the
reputation of the organization (Marques, 2006). In terms of their consistency, spiritually
intelligent staff are more orderly with themselves, content, and further deeply integrated and
harmonious (George, 2006). According to Rashvand and Bahrevar (2013) there is a remarkable
negative relationship between spiritual intelligence and turnover intention of personnel and this
has an impact on organizational performance.
2.2.7 Emotional Exhaustion
Emotional exhaustion (EE) is conceptualized as “feelings of being emotionally overextended and
drained of one‟s emotional resources” (Maslach, 1993). It is a person‟s strain element that points
to the first stage of the burnout (Halbesleben & Bowler, 2005). Generally, Burnout, mostly
considered as emotional exhaustion, stems from a lot of demanding work circumstances (e.g.
workload, lack of social support, role conflict) and as a result, lead to a host of negative results
that are important to the effective operation of firms (Carson et al., 2010). According to Maslach
(2003) burnout is a function of three interrelated dimensions, namely, emotional exhaustion;
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depersonalization; and reduced personal achievement. Among these three, empirical studies has
identified emotional exhaustion as central in the burnout phenomenon (Kalliath, O‟Driscoll,
Gillespie &Bluedorn, 2000; Lee & Ashforth, 1996).
Employees in most organizations are confronted with different demands and challenges at work.
According to Baumeister, Bratslavsky, Muraven, and Tice (1998) confronting the demands of the
organization with self-control and a regulated behavior leads to the depletion of cognitive and
emotional resources. Meanwhile when the employee confronts the demands at work with the
limited human resources at his disposal it results in to EE in the long run. Additionally, studies
show that emotionally exhausted workers are likely to quit the work environment (Westman &
Eden, 1997). In the work setting this withdrawal from work by employees can manifest itself in
turnover. According to Lee and Ashforth (1996) emotional exhaustion and turnover intentions
were in agreement. In the same vein, Wright and Cropanzano, (1998) concur that EE is related to
actual turnover.
Prevention of EE poses a significant challenge because emotional exhaustion may cause
increasing turnover rates in staff (Kowalski, et al., 2010). Evidence from literature indicates that
specific factors are associated with EE (Kowalski et al., 2010). Again in terms of gender, men
are four times prone to emotional exhaustion than women (Kowalski et al., 2010). However, in
the field of intellectual disabilities there is no association between gender and burnout (Lasalvia
et al., 2009; Mutkins, Brown & Thorsteinsson, 2011; Shaddock, Hill & van Limbeek, 1998).
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2.2.8 Emotional exhaustion, turnover intentions and Job performance
A critical component of the burnout dimension is Emotional exhaustion (Maslach, Schaufeli, &
Leiter, 2001). The emotionally exhausted employee has a higher tendency of quitting intention. When the intention of quitting is high it affects his performance at work. They involve other
important organizational results such as work and contextual performance, turnover, and
absenteeism (Cropanzano, Rupp, & Byrne, 2003; Halbesleben & Bowler, 2007; Harrison,
Newman, & Roth, 2006; Ybema, Smulders, & Bongers, 2010). When emotions are not curtailed
at work, it leads employees to be easily exposed to emotional exhaustion and reduced job
satisfaction (Côté & Morgan, 2002; Hochschild, 1983; Hülsheger & Schewe, 2011).
Emotionally exhausted superiors are likely to show signs of their inability to help subordinates
deal with their own emotional states. Thus, emotionally exhausted supervisors may become more
passive about dealing with their subordinates‟ problems. This may increase the threat of further
resource loss for subordinates, making their own emotional exhaustion states even more critical.
In order to avoid continuous loss of resources, employees in such a situation can be expected to
further persist in redirecting their remaining resources and adopting withdrawal strategies.
In contrast, supervisors with lower levels of emotional exhaustion are ready to indicate to the
subordinates that they are in the position to offer help to deal with their emotional states.
Observing such signals from supervisors mitigates the threat of further resource loss for
subordinates and may even provide them with prospects for replenishing depleted resources.
Thus the supervisor serves as the motivator to the subordinates to deal with their own emotional
states.
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2.2.9 Turnover Intentions in accounting firms
Most studies have identified turnover intention of employees in accounting firms as problematic
(Bao et al., 1986; Taylor & Cosenza, 1998; Houghton et al., 2011; Tett & Meyer, 1993).
According to Tett and Meyer (1993) turnover intentions is the consciousness of an employee to
seek for other alternatives in other organizations. High turnover rates among staff is associated
with negative implications for example, lack of common sense, low staff resolve, strenuous
customer connections and expanded uses for substitution and preparing (Haskins, et al., 1990).
The point of most associations is to enhance their efficiency and, therefore, their execution and,
along these lines, to end up more aggressive and gain a bigger piece of the overall industry. In
spite of the measure of the firm or the volume of exercises, the needs of the employees are
paramount, hence all effort is geared towards enhancing their working conditions and satisfaction
(Chatzoglou, Vraimaki, & Komsiou, 2011). Accountants‟ turnover has stimulated considerable
research. Extant literature have looked at factors such as organizational commitment and job
satisfaction as the antecedents to turnover intentions. However emotional and psychological
states of the human person also contribute to the adverse effects on job satisfaction,
organizational pledge and turnover intention.
Similarly Chong and Monroe (2013) found that job uncertainty, job struggle and employment
related pressure are imperative indicators of occupation burnout. As indicated by them, job
vagueness and job struggle at first effect representatives' apparent levels of occupation related
strain, and occupation related pressure is identified with occupation burnout, which, thus, brings
down workers' levels of employment fulfilment and authoritative responsibility (Chong &
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Monroe, 2013). High turnover rate is common among Junior-level accountants and they exit the
firms due to pressure from the profession (Bao et al., 1986; Taylor & Cosenza, 1998; Houghton
et al., 2011). Chan et al. (2008) argue that it is important to recognize different ways to support
junior accountants‟ organizational commitment, job satisfaction and retention. Organizational
commitment, is a critical factor in studies examining employees‟ turnover intentions (Chong &
Monroe, 2013).
Organizational commitment and job satisfaction predict an employees‟ workers' aim to look for
elective employment (Rasch and Harrell, 1989; Bline et. al., 1991; Gregson, 1992; Pasewark and
Strawser, 1996). Job burnout affects employees‟ turnover intentions (Fogarty et al., 2000; Almer
& Kaplan, 2002; Sweeney & Summers, 2002; Fogarty & Kalbers, 2006 has an arrangement of
contrary mental encounters mirroring a 'wearing out' from delayed introduction to the worry of
giving administrations to other individuals (Maslach, 1993). Earlier examinations on the
predecessors of turnover expectations have concentrated on the point of leaving instead of
genuine turnover as the result variable. This can be attributed to a unique reason. Most
employees decide to leave the organization before they finally leave the organization. This is in
line with attitude-behaviour theory (Fishbein & Ajzen, 2005) which states that one‟s objective to
perform a specific behaviour is the close predictor of that behaviour.
In their study on the antecedents and consequences of employee turnover intention in Ghana,
Gyensare et. al., (2015) highlighted the need to consider turnover intension as an important
construct that has consequences on work fulfilment, emotional and regulating duties; and as a
predecessor to responsible nonappearance authenticity at the working environment.
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2.2.10 Accountants’ Job Satisfaction
Two contradictory arguments is associated with the relationship which exists between job
performance and satisfaction. According to the first, high contentment leads to increased
performance. This means that when an employee is content with his job, it results in his
accomplishment of task compared to those who do not derive satisfaction from their job. The
second argument demonstrates that an individual‟s performance at the job leads to his
satisfaction at work. Thus, when an employee is able to achieve the set objectives he is rewarded
which reflects in his satisfaction at work (Spector, 1997).
Spathis (1999) suggests that independent accountants are satisfied with their job because the
characteristics of their personality conforms to their chosen profession. In terms of social
standing and economic wellbeing the accountant is recognized and they achieve successful
career. Additionally, Dole and Schroeder (2001) concluded that that personality and job
satisfaction are not related however, an inverse relationship between job satisfaction and turnover
intention was found. Finally, gender and ethnicity did not moderate the relationship among the
aforementioned variables.
In respect of the career stages and years of employment Adler and Aranya (1984) concluded that
it creates differences as long as their commitment, job satisfaction and attitudes are concerned.
Evidence from literature show that younger accountants as against those accountants at the point
of retirement are more satisfied than the latter. Meanwhile, in terms of their dedication to the
organization, the professional commitment of the older ones was higher. The reason that has
been assigned to this phenomena is that at this stage the younger ones are now learning how to
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imbibe the values and tenets of the organisation as against the older ones who by experience
associate with the values of the organisation.
Organisational commitment and professionalism are strongly related to job satisfaction (Norris &
Niebuhr, 1984). Employees seemed to be especially happy with their work and supervision and
at a lower degree happy with their career progression, fees and their colleagues. Results show a
strong correlation between professionalism and organizational commitment. As regards
satisfaction with pay, it was concluded that it is a contributory factor to professional commitment
also influences professional commitment.
Reed et al., (1994) surveyed accountant‟s satisfaction with their current positions, their
commitment to the organization and their turnover intention. In their survey, there were
variations in the findings among males, females and employees who were seen as “Internals and
Externals”. Those who were expecting rewards as a result of their own actions were known as
Internals whereas those who believed that their actions is not a determining factor in the outcome
of events but unpredicted forces were seen to be externals. They concluded that Internals derived
their satisfaction from the job as against the externals who did not. In respect of their
commitment to the firm, the results were the same. With externally-oriented women, turnover
intention was on the rise whereas length of employment among both sexes revealed that the
results were different. However, turnover intention was higher in externally–oriented women. As
far as the years of employment is concerned, the results were different when gender was
considered.
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2.3 Research framework and hypotheses development
The conceptual framework as shown in figure 2.1 is grounded on the theories of Planned
Behavior and Social identity. The framework as presented depicts two important characteristics.
First the conceptual framework shows the determinant of turnover intention. For the purpose of
this study, the key determinants of turnover intention are organisational commitment, job
satisfaction, religiosity, spiritual intelligence and emotional exhaustion. Second the framework
predicts the mediating role of turnover intention on accountant performance.
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Figure 2.1: Conceptual framework
2.3.1 Organizational Commitment and Turnover Intention
It has been argued that Organizational Commitment (OC) that is the feeling a person has about
an organization as a whole is predicted by organizational learning culture, developmental
feedback and learning goal orientation (Joo & Park, 2010). To have a competitive advantage in
the labour and product market, an organization needs highly committed staff. One of the
predictors of Turnover intention is OC (Williams & Hollenbeck, 1986). OC has been categorized
into three, that is Affective, Continuance and Normative (Bergin, 1994). The Affective
commitment refers to the sense of belonging or devotion to the organization and this has been in
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tandem with personal characteristics of the individual that is work experience, structures, pay,
supervision( Hartmann, 2000).
Continuance commitment on the other hand is the cost of leaving the organization. Anything that
is related to cost either directly or indirectly investment that the individual has made in the
organization. The normative commitment emerges on the basis of a kind of investment that the
organization makes in the life of the individual. The person in question may find it difficult to
reciprocate that investment to the organization, hence, may be compelled to be committed to the
organization. Theoretically, the commitment to the organization has a three prong effect that is
the employees themselves, the organization and the society.
The study therefore hypothesizes that;
Hypothesis 1: Organizational commitment and turnover intention are inversely related.
2.3.2 Job Satisfaction and Turnover Intention
A feeling that an individual has towards his job is termed as Job Satisfaction. According to
Newstrom (2007), Job satisfaction comprises a set of favourable and unfavourable feelings and
emotions a person uses to view his work. In other words, a person is satisfied with his work when
he finds meaning in the work that he does. Previous studies indicated that some employees may
find satisfaction in their job whilst others may not. By implication the satisfaction a person
derives from his job may not be the same another derives from his job. Existing studies have
looked at job satisfaction and organizational commitment controversy, which one of them
predicts the other. But several studies have concluded that Job satisfaction predicts
organizational commitment.
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A recent study conducted by Slattery and Salvarajan (2005) indicates that Job satisfaction has a
negative association with turnover intention using temporary employees‟ attitudes towards client
organization and the temporary employee attitudes towards the temporary agency. Accountants
who are satisfied with their work will not contemplate alternative employment (Mobley, 1990).
However, employees who are not satisfied with their job will have the intention to quit the
organization and hope to get another job. Gregson (1990), Setiawan and Ghozali (2013),
Fitriany, Gani, Siregar, Marganingsih, and Anggraita (2011), Muliawan et al. (2009), Lathifah
(2008), Kalbers and Cenker (2007), Shafer, Park, and Liao (2002) found that the high job
satisfaction causes lower turnover intention. In line with the above discussion, this study
hypothesizes that:
Hypothesis 2: Job satisfaction and turnover intention are inversely related.
2.3.3 Religiosity and Turnover Intention
Religiosity is a critical component of society. The values, tenets exhibited by individuals is as a
result of their religious orientation and formation. These values carried to the work place help
individuals to accomplish tasks given them. Previous studies have made efforts to link
Religiosity to workplace behavior and attitudes (Mc Ghee & Grant, 2008). There is a dearth of
empirical literature on the influence of Religiosity on the negative work behavior like turnover
intention. According to (Weaver & Agle, 2002), individuals make religiosity as part and parcel
of their daily activities and hence carry it to the workplace. The extrinsically religious person
sees religion as external to him therefore perceives his role at work as purely transactional and
will only perform his task to safeguard his personal interest and objective. On the other hand, the
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intrinsically religious person sees work as a product of religion. By extension, any act carried out
has a religious implication.
From the above, the study hypothesizes as follows;
Hypothesis 3: Religiosity and turnover intention are inversely related.
2.3.4 Spiritual Intelligence and Turnover Intention
In most research papers, spirituality at work place is becoming a topical issue (Smith, 2012).
People are likely to see their profession not simply as a job but a mission. Prior studies reveal
that spirituality at work place enhances performance (Ayranci, 2011) productivity and work
satisfaction (Alexander et.al, 1993), organizational learning (Kunde, 2000). The Spiritually
intelligent person encounters question of meaning and values (Zohar & Marshall, 2000). It is the
platform required to operate the individual‟s brain and emotions effectively. This means that
high spiritual intelligence leads to control of one‟s emotions and later good thinking towards
others (Saidy, Hassan, Rahman, Jalil, Ismail & Krauss, 2009).
In a typical good organization, the individual with a high spiritual intelligence is able to
understand the meaning of life and to experience simultaneously the natural connection between
each individual and the world at large. Therefore, the highly spiritual intelligent person has no
intention of quitting his job. When a person has clear understanding of the reason for his life, he
is able to make decisions through thoughts, attitudes and behaviours. Therefore, the spiritually
intelligent individual makes decisions which affects the organization.
From the above, the study hypothesizes as follows: Hypothesis 4: Spiritual intelligence and turnover intention are inversely related.
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2.3.5 Emotional Exhaustion and Turnover Intention
Emotional exhaustion means all emotional resources of the person in question has been
exhausted leading to fear of working and lack of urge to work. The result of this action in any
organization is the tendency to quit. Emotional exhaustion has implication for optimal
work(Cherniss, 2000), quality of work life (Cordes & Doherty, 1993) and optimal organizational
functioning(Maslach, 1993). From the perspective of the worker, emotional exhaustion is
associated with common bodily sicknesses as cold, flu, sleep disturbances and headaches
(Bakastro & Hayes, 1984). From the organization‟s perspective on the other hand, emotional
exhaustion correlates negative tendencies such as turnover intention (Jackson, Schwab &
Schuler, 1986). Prior studies have revealed that emotional exhaustion will lead to less job
satisfaction, organizational commitment and high turnover rate (Jackson, 1986). Emotional
exhaustion and turnover intention are closely related (Schaufeli & Enzman, 1998).
From the foregoing discussions, the study hypothesizes as follows:
Hypothesis 5: A positive relationship exists between emotional exhaustion and turnover
intention.
2.3.6 Turnover Intention and Accountant Job Performance
Accountant job performance is critical for the success of the organization. Individual‟s
performance is measured by varied factors such as time management, leadership skills and
efficiency to evaluate each employee and it is the cause of significant impact on turnover
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intention. Prior research has looked at turnover intention and Accountant performance
differently(Jackofsky, Ferris, & Breckenridge, 1986). Some have looked at the intention to quit
as negatively related to job performance. Specifically, a study conducted by (Zimmerman &
Darnold, 2009) indicates that job performance is likely to influence voluntary turnover through
intention to quit as well as have direct effect on voluntary turnover. From the expectancy theory,
it has been established that negative job performance appraisal is likely to affect the turnover
intention of the Accountant. In this regard, when the feedback from a person‟s superiors is in the
negative, his intention to quit is high. However, positive feedback from the superiors gives the
Accountant the indication to stay on the job. All in all, job performance and turnover intention
are related positively. From the foregoing, the study hypothesizes as follows:
Hypothesis 6: A negative relationship exists between turnover intention and Accountant job
performance.
2.4 Chapter summary
This chapter reviewed previous literature which are related to the study. The theoretical
underpinnings of the study and how relevant they are to the study. Within the context of the study
the review elaborated on the various determinants of turnover intention of accountants and how
they affect the Job Performance of the accountants in the organization. The study concludes with
the research framework and the hypothesis development. The next chapter looks at the
methodology and the philosophical assumptions underlying the study.
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CHAPTER THREE
METHODOLOGY
3.0 Introduction
This chapter describes the procedures, models and techniques that the researcher used in
conducting the study. The chapter describes in detail the philosophical assumptions underlying
the study (research paradigm), the research design, and research strategy, sampling method,
research instruments, method of collecting data and analysis.
3.1 Research Paradigm
Emanating from the Greek word paradeigma, the word paradigm can be rendered as pattern.
Thomas Kuhn (1962) is thought to have initiated the usage of the word to indicate a conceptual
framework shared by a community of researchers which afforded them the convenient model for
critically identifying problems and finding solutions. Inherent in the concept of a paradigm is the
fact that it is unique to a scientific community and frequently used as a tool to address a peculiar
problem. Most researches are conducted within paradigms and embedded in it is the
philosophical assumption of how the researcher views the world and defines what he/she
considers to be the truth.
Several paradigms exist and new paradigms continue to evolve. New paradigms do not disprove
the old paradigms but provide an alternative way of thinking. Scholars have classified paradigms
differently; Positivism, Constructivism, Advocacy and Pragmatism (Creswell, 2013), while
others have Positivism, Interpretive Realism, critical Realism (Fisher, 2010). The ability of the
researcher to be explicit in his chosen philosophical world view is key in defining the direction of
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the research. This means that the choice of topic, methodology to use, the analysis and
interpretation of the results are influenced by the research paradigm (Lukka, 2010) .
To distinguish paradigms, two main philosophical dimensions (ontology and epistemology) are
used (Laughlin 1995; Kalof, Dan & Dietz 2008; Saunders, Lewis & Thornhill, 2009). These
dimensions relate to the nature of knowledge and how it is developed. In terms of research, on
the nature of reality (ontologically) one can perceive that the existence of reality is exterior and
independent of individuals and their explanations of it, termed objectivist (Saunders, Lewis &
Thornhill, 2009) or realist (Newman,2011). On the other hand, the subjectivist person believes
that reality is independent of factors and individuals contributors to phenomena socially.
3.1.1 Positivism
On the Ontological level, the Positivist maintains that it can be measurable with properties
which are distinct of the researcher and his or her instruments, by implication, knowledge is
objective and quantifiable; and that it is objectively given. Positivists adopt scientific methods
and make systematic the knowledge generation the knowledge generation process with the help
of measuring the quantities to further improve the quality of parameters and the relationship
among them. Positivism is concerned with discovering the truth and can be presented by
observation (Henning, Van Rensborg & Smit, 2004).
Walshman (1995) reported that positivists maintain that scientific knowledge comprises facts
whereby its nature of existence is seen as reality which is not contingent upon social
construction. The investigator can adopt the objectivist perspective if the study consists of a
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steady and unchanging reality. From the perspective of the positivists, the world is believed to be
external to the individual and that reality is objectively known to any research phenomenon
regardless of the researcher‟s point of view (Carson et al., 1988). Thus, their approach in
conducting research is that they take a command and meticulous way by clearly identifying a
topic to be researched upon, the appropriate research hypothesis to be proposed and using the
appropriate methodology (Churchill, 1996; Carson et al., 2001). Positivist researchers are not
attached to their respondents which aids them to remain emotionally neutral to make clear
distinctions between reason and feeling (Carson et al., 2001).
Additionally, the Positivists distinguish between facts and value judgement and science and
personal experience. In the same vein, they seek an objective view of life and phenomena and
constantly apply rational and logical approach to research (Carson et al., 2001). As regards
techniques, statistical and mathematical are integral component in positivist research which
conforms to unique research techniques to unravel single and objective reality (Carson et al.,
2001). The Positivists hold that human actions can be explained because real causes of events
precede the action itself which lends credence to the fact that the human subject and the
researcher are independent of themselves and have no influence in the study (Hudson & Ozanne,
1988).
Conversely, the interpretivists hold the view that what is known as reality is as result of people‟s
subjective experience of a world that is external to them. Thus, there is no single approach to
knowledge but the experience of people creates knowledge. This argument affirms the fact that
knowledge is socially created and there cannot be right or wrong theories in the application of
knowledge (Walshman, 1993). By implication, theories must be judged according to how
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interesting they are to the researcher as well as those involved in the same field of study. In this
regard, their construct emanates from the field through in-depth analysis of the phenomenon of
interest.
Additionally, interpretive paradigm is underpinned by observation and interpretation, in other
words to observe is to collect information about events, while to interpret is to make meaning of
that information by drawing inferences and make meaning out of those inferences
(Aikenhead,1997). Unlike the positivists, the Interpretivists avoid rigid structural framework and
adopt a more personal and flexible research structures (Carson et al., 2001) what is perceived as
reality (Carson et al., 2001). They believe the researcher and his informants are interdependent
and mutually interactive (Hudson & Ozanne, 1988).
With the interpretivist researcher, the context of the research is known through his prior insight
but with the assumption that it is not sufficient in the development of fixed research design due
to the complex, multiple and unpredictable nature of what is thought of as reality (Hudson &
Ozanne, 1988).
This study ascribes to the positivists view because the nature of the objectives could be better
investigated by reference to the positivists.
3.2 Research Design
A research design involves the overall strategies adopted by the researcher to address the
objective of the study. It propels in the choice of techniques to collect and analyse data of the
study in a way that combines importance of the research purpose with economy in procedure
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(Jahoda, Deutch & Cook, 1986). Depending on the nature of the research, either as quantitative,
qualitative or mixed, the appropriate research design is used. The qualitative research is primarily
exploratory in nature. It offers understanding into the problem or helps to develop ideas or
hypotheses for possible quantitative research. In qualitative research methods, data collection
method differ using unstructured or semi-structured questionnaire techniques. Some common
methods include focus groups, individual interview and involvement. In terms of sample size, it
is very small and interviewees are selected to fulfil a given quota. As regards the mixed method
of research, it combines both the qualitative and quantitative methods of research techniques,
methods, approaches, concepts into a single study. It is an attempt to adopt multiple approaches
in answering research questions, rather than restricting the researcher‟s choice. The outcome of
the results will be superior to any one method studies.
This study adopts the quantitative research approach due to the researcher‟s positivist philosophy
and on the objectives of the study. Significant conclusions about a population are drawn by
selecting a representative sample of the population. According to Creswell (2003) the population
consists of the whole group being investigated. Sometimes in quantitative research, researchers
make use of questionnaires and the findings are based on numbers and statistics that are
presented in tables. According to Moule, Kuratko, and Singh (2009, p.172) the objective of
quantitative research is to produce research data that can be analysed numerically using
statistical techniques.
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3.3 Research Strategy
A research strategy can be defined as the guide towards the achievement of the objective of the
study. There are various research strategies which can be used in a study namely, experiment,
survey, case study and grounded theory. Experiment is employed mainly in the natural sciences,
social science and more importantly in the field of psychology. In most cases it is used in studies
where sample selection, allocation of different experimental conditions, and definition of
theoretical hypothesis are critical. Case study is another strategy that looks at research from a
detailed and intensive perspective of a case. It delves into the core of the phenomenon under
investigation and asks questions such as “why”, “how”, and “what”. Grounded theory is
predominantly used in both the inductive and deductive research. It begins by not developing any
theoretical framework however, when data has been gathered and observations made, the data is
then used to make further predictions and tested in further observations. Lastly, the survey
strategy is the most commonly used strategy in the field of business. It allows for the researcher
to have access to a large amount of data from the population and sometimes it is seen as
authoritative because the method is easily comprehended by the respondents. The principal
instrument employed in the survey research is questionnaire which respondents are supposed to
answer a set of questions in an orderly manner predetermined by the research. The study used the
survey method of research due to the objectives of the study and the contemporary event under
investigation i.e. turnover intention.
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3.4 Unit of Analysis
A unit of analysis can be seen as the main entity being analysed in a scientific research and about
which data is gathered. Determining the unit of analysis has a pivotal role in any research. It is
the subject of the study that the researcher may generalize. This study specifically looks at the
antecedents and consequences of turnover intention on Accountant performance. Since the object
of study was the individuals in the accounting firms, the unit of analysis is at the individual level.
3.5 Population and sample selection
The population of the study denotes a complete group of objects or elements which are relevant
to the research (Hair, 2011). The target population is defined based on the understanding of the
research topic of interest, access to the elements (individuals and firms), availability of elements
and time frame. This is relevant because the population possesses the information the research
has been designed to collect. The target population for this study includes all accountants in
Ghana who work with the 225 accounting firms that have been certified and approved by the
Institute of Chartered Accountant, Ghana (ICAG) as at December, 2015.
The ICAG is the mandatory institution per the constitution of Ghana that regulates the
accounting profession in Ghana. As part of its regulatory function, ICAG publishes names of
members in good standing, licensed individuals and firms annually in a national newspaper. In
addition, ICAG annually submits the names of individuals and firms capable of providing audit
and assurance and other financial services in Ghana to the Ghana Revenue Authority, the
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Controller and Accountant General‟s Department, the Bank of Ghana, the Securities and
Exchange Commission and the World Bank.
There are two categories of accounting and financial services providers. There are firms that fall
under the regulation of ICAG, the regulator of the profession in Ghana. These firms are those
involved in public practice particularly assurance services such as external financial statements
audit. The other category are firms involved in non-assurance services. With this category, there
is no restriction on the requirement of external audit. The Companies Code, 1963 (Act 179)
makes auditing mandatory for all categories of companies. ICAG, has classified these firms into
five (5) based on their revenue and size that is A1, A, B1, B, C, D. The tables below show how
they have been classified. The table1 below gives an overview of the classification of the firms
by ICAG.
Table 3.1: Classification of firms in Ghana based on revenue Type Revenue (Annual)
A Between GH 1-5million
B1 Between GH 500,000-1million
B Between GH 200,000- 500,000 C
Between GH 100,000-200,000
D Below GH 100,000
Source: ICAG, 2015
A1 Exceeding GH ȼ 5 million
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Table 3.2: Distribution of firms in Ghana Type Number Percentage
A1 4 1.8%
A 8 3.6%
B1 15 6.7%
B 41 18.2%
C 19 8.4%
D 138 61.3%
Total 225 100%
Source: ICAG List of Firms in Good Practice, 2015
3.6 Sampling Technique
This refers to the procedure employed in selecting subset of randomized number of members of
the population of a study and data collection about their attributes (Panneerselvam, 2009).
Sampling makes the research more accurate and economical. The sampling method used in the
research determines whether the findings can be generalized or not to the wider population.
There are two broad types of sampling techniques – probability and non-probability. With
probability sampling, members (or elements) of the population being studied have equal
opportunities of being selected (Panneerselvam, 2009); whereas individuals in the population do
not have equal chance of being selected (Panneerselvam, 2009).
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Probability sampling, specifically the stratified random sampling technique has been adopted
based on the objectives of this study. With stratified random sampling, the population is divided
into strata or subgroups and a sample is taken randomly from each subgroup. This sampling
technique has the advantage of ensuring that every stratum is adequately represented. It enables
the researcher to draw a sample representing different segments of the population to any desired
extent. Further, this sampling technique allows the researcher to make statistical conclusions
from the data collected that is considered to be valid. The Accountants with the 225 Accounting
firms, have been classified based on their revenue and size (A1to D) therefore they meet the
technique that was used in eliciting responses from them for the research.
3.7 Research Instruments
Precise and well-ordered data collection is critical in the conduct of scientific research. Research
instruments are tools used for eliciting information relevant to the research topic. There are
varieties of research instruments, that is, Questionnaire, Interviews, content analysis, focus
groups and observation. However, the study used questionnaire as the main research instrument
to collect data from the respondents due to its large and heterogeneous nature within a relatively
short period. Once completed, questionnaires can be easily analysed. In terms of cost,
questionnaires are inexpensive to administer
3.8 Data and sources of Data
In the conduct of research, researchers rely on either primary or secondary data as their main
source for analysis. Primary data was used due to the purposes of this study. Primary data is
information collected from sources such as personal interviews, questionnaires or surveys with
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specific intention and a specific subject, observation and discussion by the researcher. Methods
used in collecting primary data include interviews, questionnaires, surveys, telephone and focus
groups, but for the purpose of this study, questionnaires was the main tool used in eliciting
information from the respondents. If well-constructed and properly piloted, questionnaires can
be used in future studies. One advantage of using questionnaire in the study is that it enables the
researcher to reach out to large number of respondents.
3.9 Questionnaire Design
This refers to well composed questions which help to investigate and obtain reactions from the
respondents (Panneerselvam, 2009). The questionnaire enables the respondents to work at their
own pace and convenience. Besides it provides a great deal of anonymity to respondents in terms
of soliciting for open and honest responses. In terms of cost, questionnaire is a less expensive
procedure in eliciting information from the respondents than the interview. By far, the
questionnaire provides a standardized interview across all subjects in a study (Brace, 2013).
The questionnaire (Appendix 1) had two (2) main sections namely; demographic characteristics
of the respondents and the constructs (organizational commitment, job satisfaction, religiosity,
spiritual intelligence, emotional exhaustion, turnover intentions and job performance). The
demographic section of the questionnaire was made up of ten sequential questions. These
questions were based on the gender of the respondents, age, marital status, number of
dependents, educational level. Also in this section was a question each on their educational
background, professional qualification, working experience, the category of firm they work in
and their current position at their place of work.
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The “second section of the questionnaire was designed to coincide with the sequential order of the
study objectives. The questions were designed and structured in both close-ended type and
ordinal scaling method. The questionnaires were demonstrated on a rating scale with discrete
responses. The study measured responses to questions on a scale of 1-7, where 1 stood for strong
disagreement and 7 stood for strong agreement. This was used in order to allow for variability in
the responses”.
Seven different constructs were examined in this section; organizational commitment, job
satisfaction, religiosity, spiritual intelligence, emotional exhaustion and job performance. Each
question began with a preamble which was to guide the respondents on the meaning of the
question and the appropriate response needed from them.
3.10 Measurement of constructs
To measure the constructs for the study, existing scales from prior research were adopted. Some of the
scales were modified to suit the context of the Study. The scales employed in the study were as follows;
Organizational commitment construct was measured using a short form instrument developed by Mowday
et al., (1974). This scale is designed to measure two dimensions of organizational commitment (affective
commitment and continuance commitment). Participants responded to all items on a 7-point Likert scale
(1= “strong disagreement” to 7=“strong agreement”). Job satisfaction was measured using a scale
developed by Hoppock (1935). Religiosity was adapted from the works of Ashmos and Duchon (2000)
while turnover intention was measured using a scale developed by Walsh et al., (1985). Further, Spiritual
intelligence was measured using a scale developed by King (2008); emotional exhaustion developed by
Maslach and Jackson (1986) while Job performance was measured using the scale developed by Patterson
(1990).
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3.11 Pilot Study
A “pilot study was conducted in order to assess the validity of the study. Pre-testing of
questionnaires aids in obtaining information to improve its content, format and sequence
(Panneerselvam, 2009). On the backdrop of the above, the study was piloted using twenty (20)
respondents outside the sample size. This exercise was mainly intended to test the degree of
understanding, the meaning of the questions, and difficulty in understanding the questions by the
respondents. Based on the information, the questionnaire was revised in its format, content and
sequence for the final use in the study”.
3.12 Ethical Considerations
As a standard procedure in the University of Ghana Business School (UGBS), studies that
involve the collection of information from individuals are to be approved by the Ethics
Committee for the Humanities (ECH). This is to guarantee that the research met ethical
considerations so that researchers do not put participants in a situation where they might be at
risk as a result of their participation; protect researchers and their institutions as well as the good
name of research (Doku, 2013).
To fulfil this requirement, ethical approval was sought from the ECH before the actual data
collection begun. The ECH gave the approval on 21/02/2018 for a period of six months with
reference number ECH 090/17-18. To adhere to the ethical guidelines of ECH the following
were taken into consideration throughout the data collection process:
Partnership: This study was a collaboration of the 225 Accounting firms and the researcher.
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Since the aim of the study was to better appreciate the effects of the factors that influence the
turnover intentions of Accountants working the organization. Respondents were assured that the
findings of the study will be made available to them, which implies that they do not only provide
the information but would benefit from the information willingly given.
Ensuring No Harm: “The study showed that information relating to the respondents that intended
to harm their reputation was not allowed for public view and was protected by the researcher”.
Ensuring Confidentiality and Anonymity: “The ethical duty of confidentiality includes
obligations to protect information from unauthorized access which is essential to the trust
relationship between the researcher and participant and also to the integrity of the research
project. Therefore, participants were assured that all aspects of their communication either
through verbal or recording regarding themselves or the organization will be held in the strictest
confidence by not disclosing the information”.
3.13 Administration of Questionnaire
Questionnaires were self-administered by the respondents. A total of 500 questionnaires were
administered out of which 414 were returned. However, out of the 414 questionnaires which
were returned, 77 were not fully answered and were not added to the final questionnaires used in
the analysis. The exclusion criteria was to exclude all observations for which most of the
questions on the main constructs were not answered. As it stands, 337 representing 67.4% of the
total respondents‟ surveyed questionnaires were used in the study. The questionnaires were
administered and collected between February and April 2018.
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3.14 Data Preparation and analysis Process
Data “preparation involves coding and data entry into a database, data filtering and finding any
missing responses. The 337 usable questionnaires were imported into Statistical Package for the
Social Sciences (SPSS) version 23 where the descriptive analyses report was generated”.
3.15 Data Analysis technique
The “study made use of the Structural Equation Modelling (SEM) technique to analyse the data.
While first generation techniques such as regression-based approaches (e.g. multiple regression
analysis, discriminant analysis, logistic regression, analysis of variance) and factor analysis have
predominantly been used to confirm theoretically hypotheses, the use of second generation
techniques such as SEM has become popular in many empirical researches in recent times.
Unlike the first-generation techniques, SEM is able to simultaneously investigate multilevel
dependence relationships”. This implies that within the same framework a dependent variable
becomes an independent variable in subsequent relationships together with relationships between
multiple dependent variables (Astrachan, Patel, & Wanzenried, 2014). Precisely it is this
exchange role that a variable plays that enables SEM to infer causal relationships. Due to the
nature of the study‟s constructs (all variables of interest are latent) and the complex nature of the
framework (included is the direct, indirect and total effects of the constructs), it is impractical to
use the first-generation statistical technique like regression in the study. Therefore SEM was
found to be the most appropriate in assessing the complex model simultaneously in this study.
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3.15.1 Structural Equation Modelling (SEM)
Over the last decade, SEM has enjoyed considerable attention in most studies especially in the
field of the social sciences (Marketing, Strategic management, Accounting) (Hair, Sarstedt,
Hopkins, & G. Kuppelwieser, 2014). SEM provides the medium to test simultaneously the direct,
indirect and total relationship among the constructs in a research. The direct effects comprise the
association between the dependent and independent variables. The indirect effects consists of
relationships between the dependent and independent variables that are mediated or moderated
by some other variables. Lastly, the total effects indicates the sum of two or more direct or
indirect effects of the variables in the study. Comparatively with other statistical techniques,
SEM technique enables the researcher to not only test relationships among constructs
simultaneously but it is able to curtail the overall error associated with the model (Astrachan et
al., 2014).
Additionally, SEM helps in testing models flexibility and permits the researcher to use multiple
predictors and criterion variables constructs which are not observable (latent), measurement
errors in models for observed (manifest) variables, and test mediation and moderation
relationships in a single model. This makes SEM a dynamic statistical method (Blanthorne,
Jones-Farmer, & Almer, 2006; Fornell, 1987; Hair, Black, Babin, & Anderson, 2010; Hair, Hult,
Ringle, & Sarstedt, 2016).
In the literature, there are two types of SEM which have been suggested by researchers, i.e.
Covariance based SEM (CB SEM) and the Partial Least Square SEM (PLS SEM). The
underlying difference is the statistical assumption and the validation of their respective
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measurement models. The researcher deals with each of these types and their philosophical
assumptions and the guidelines for their usage.
3.15.2 Covariance Based SEM (CB SEM)
The CB SEM technique was introduced by Jöreskog in 1973. CB-SEM develops a theoretical
covariance matrix based on a designated set of structural equations. The technique focuses on
estimating a set of model parameters in a way that minimizes the difference between the
theoretical covariance matrix and the estimated covariance matrix (Hair, Ringle, & Sarstedt,
2013). The CB-SEM model estimation requires a set of assumptions to be fulfilled, including the
multivariate normality of data, minimum sample size and uniformity of the variable metric
(Diamantopoulos & Winklhofer, 2001). In applying the CB SEM, the observed variables follows
a normal distribution and the observations must be discrete of each other (Chin, 1998). To test
for theories, CB SEM is the technique that most scholars recommend and it is based on the
concept of factor analysis.
3.15.3 Partial Least Square SEM (PLS SEM)
PLS SEM was originally developed by Svant and Herman Wold (1974). According to Hair et
al., (2013), PLS-SEM approach has enjoyed steady popularity as an essential multivariate
technique in most studies including Accounting and marketing (Chu, 2018). PLS SEM‟s main
objective is to maximize the covariance between the predictor latent variable (unobservable) and
the dependent latent (manifest) variable. Under PLS SEM structural paths which are indicative of
the relationships between the unobserved variables and the measurement component shows how
related the unobserved variables and their indicators are.
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However, PLS SEM has a third component that is the weight relations which are employed to
approximate the case values for the unobserved variables. PLS SEM employs least square for
single and multi-component models and for canonical correlation. PLS SEM has less restrictions
than CB SEM and scholars view PLS SEM method as a more robust estimation of the structural
model (Hair et al., 2013). In situations where distributional assumptions cannot be met, PLS
SEM is the best alternative to CB SEM. A significant advantage to the usage of PLS SEM is the
fact that it is able to model factors and composites.
3.15.4 Guidelines for using CB SEM or PLS SEM
Choosing the right statistical method in research is an important part of the research process. This
means that the researcher must have a clear understanding of the statistical method so as to use it
in his study. The method selected depends greatly on the assumptions underlying the usage of a
particular method. This section of the research looks at the criteria to consider when using either
CB SEM or PLS SEM.
“Hair et al. (2011), indicate that choosing between CB-SEM and PLS-SEM can be made
considering a few factors such as research objective, types of measurement model specification,
the modelling of structural model, data characteristics and model evaluation. These authors
suggest five useful rules of thumb, which can be used as guidance when selecting between
PLSSEM and CB-SEM. To select between these two methods, the investigator has to identify
the objective of conducting the study. If the study is to test or confirm a theory, the appropriate
method is CB SEM. The rationale here is that it requires the ability to demonstrate how well a
theoretical model fits the observed data when testing theories”. According to Barclay et.al, (1995)
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CB SEM is conducive for dense modeling when the objective of the study is to limit the
covariance matrix. On the other hand, when the objective of the research is for prediction and
theory development, PLS is the appropriate method to use and this is known as soft modeling.
Secondly, “CB-SEM is used only in research models that are reflective in nature. However,
previous studies have used formative measures within the structural model but they usually lead
to identification problems (Henseler et al., 2009). According to Chin (1998) the use of formative
constructs within CB-SEM would create a situation where the explanation of the covariance of
all indicators is not possible. Further, the use of CB-SEM in handling both reflective and
formative constructs is relatively complicated (Urbach & Ahlemann, 2010). Meanwhile
PLSSEM can be used to analyse a research model that consists of both reflective and formative
constructs (Chin, 1998b). Using PLS allows researchers to use either reflective, formative or the
combination of both reflective and formative constructs simultaneously”.
Thirdly, “there are underlying assumptions which must be fulfilled before using CB SEMs
software in further analysis. The assumptions involve the assessment of: 1) data multivariate
normality, 2) observation independence, and 3) variable metric uniformity (Sosik et al., 2009).
Large sample size and data normality are the requirement for using CB SEM. The results of the
CB SEM will be highly imprecise when one of the assumptions is violated (Hair et al., 2011).
With PLS-SEM a more robust approach is used to analyse data with non-normality distribution
because it uses calibration mechanisms, which transform any non-normal data into data that
adheres to the central limit theorem (Beebe, Pell, & Seasholtz, 1998)”.
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Finally, to evaluate the structural model, the core objective of the PLS is to predict the theoretical
model suggested based on the literature and not test which alternate model fits the data better.
(Sosik et al., 2009). The residuals on manifest and latent variables are correlated in PLS; thus
allowing PLS to “estimate” (Falk & Miller, 1992, p. 10). The study employed the PLS SEM
because of the following reasons; it is suitable for theory building studies (Vinzi et.al. 2008). It is
regarded as appropriate for examining complex cause-effect-relationship models (Joseph F. Hair
et al., 2013). It is a non-parametric approach, and it poses fewer restrictions especially on data
distribution and sample size (Vinzi et al., 2010).
To test the hypothesis for this study, the researcher used Smart PLS 3 software (Ringle et al.,
2014). The researcher used the PLS-SEM approach and assessed the measurement model (also
referred to as outer model) and structural model (also referred to as the inner model).
3.15.5 Reflective and formative constructs
This section describes the two models of the constructs that could be used in the research.
In the SEM literature, “unobserved variables can be modelled using either the formative or
reflective indicators. Reflective constructs are constructs which are affected by the same
underlying construct. The direction of causality of the construct is from the constructs to the
indicators and changes in the indicators. In the reflective construct the direction of the arrows
point from the unobserved variables to reflective indicators. However, with the indicators of the
reflective constructs the indicators should be internally consistent because all the measures are
considered to be valid indicators of the unobserved variables. The formative constructs on the
other hand refers to constructs that have formative indicators, which are combined to give rise to
the meaning of the unobserved variables” (Petter et al., 2007).
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In “contrast to a reflective construct, a formative construct assumes that the measures (indicators)
have an impact on the underlying construct (Jarvis et al., 2003). In a reflective construct, the
group of indicators jointly determines the conceptual and empirical meaning of the construct.
The direction of causality flows from indicators to unobserved variables (Jarvis et al., 2003).
According to Petter et al. (2007), internal consistency is important for a reflective construct.
Thus, the use of internal reliability measures are required to ensure the measures are reliable.
Additionally, a reflective construct should be unidimensional and if any measures are removed, it
would not affect the content validity (Petter et al., 2007). On the other hand, formative indicators
need not be correlated nor have high internal consistency and any changes in the formative
measures will cause changes in the underlying construct (Jarvis et al., 2003). A formative
construct causes the latent construct representing different dimensions of it (Gefen et al., 2000).
These observed variables are not assumed to be correlated with each other or to represent the
same underlying dimension (Chin, 1998a)”.
The figure below shows the two forms of constructs.
Figure 3.1: Forms of Construct
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3.15.6 Assessing the measurement and structural models
Before the structural model analysis “is carried out, literature recommends that each construct is
assessed to see if they meet the quality criteria for the empirical work (Urbach & Ahlemann,
2010). In spite of the fact that these instruments have been tested in previous research, PLS SEM
permits that they are subjected to the normal diagnostic test of reliability and validity. The
following section outlines the guidelines for the assessment of the measurement and structural
models”.
3.15.6.1 Assessing the measurement model
The “measurement model evaluates the relationship between manifest variables and latent
variables. The measurement model is tested through assessment of validity and reliability of the
construct measures in the model. This ensures that when assessing the nature of the relationship
of the overall model (Hair, Sarstedt, Pieper, & Ringle, 2012) only reliable and valid constructs‟
measures are used. Structural model specifies relations between latent constructs. Estimating and
analysing the path coefficients between the constructs test the structural model. Path coefficients
are indicators of the model‟s predictive ability”.
vi. 3.15.6.1.1 Internal consistency
Internal consistency measures the extent to which a set of indicators measure the same construct
by testing the correlations among the indicators of a construct. The most common measure of
internal consistency of constructs is the Cronbach alpha (CA). CA provides an estimate for the
reliability based on indicator inter-correlations. However in PLS SEM, the preferred measure is
Fornell and Larcker criterion of the composite reliability (CR) (Chin, 1998). The reason is that
although CA and CR measure the same thing CR takes into consideration that the indicators have
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different loadings. CA underestimates the internal consistency where it does not assume tau
equivalent among the measures and assumes that all indicators are equally weighted. The internal
consistency of the measurement model is valid when the CR of each of the constructs meets the
recommended threshold of 0.7 (Hair et al., 2013) however when all the reliability and validity
tests have been met an indicator loadings of 0.4 and above is acceptable .
vii. 3.15.6.1.2 Convergent Validity
Convergent validity involves measuring a construct with independent measurement techniques
and demonstrating a high correlation among the measures. In this study, the measurement
model‟s validity was assessed using the Average Variance Extracted (AVE) value. The AVE
value is calculated as the mean of the squared loadings for all indicators associated with the
constructs. The recommended threshold of the AVE is 0.5 or higher as it indicates that on
average the construct explains over 50% of the variance of its items.
viii. 3.15.6.1.3 Discriminant Validity
A “core element of model evaluation is Discriminant Validity (Hair et al., 2013). Discriminant
validity ensures that a construct measure is empirically unique and reflects phenomena of interest
that other measures in SEM do not capture. Specifically, discriminant validity requires that a test
does not correlate too highly with measures from which it is supposed to differ. If discriminant
validity is not established, constructs have an influence on the variation of more than just the
observed variables to which they are theoretically related. However, researchers cannot be
certain that the results confirming hypothesized structural paths are real or whether they are as a
result of statistical discrepancies. Due to its importance, discriminant validity has become pivotal
in most SEM studies”.
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In view of the above, the researcher made use of discriminant validity in validating the results
and made deductions from the results. “There are two approaches to assessing the discriminant
validity of the constructs, i.e. Fornell and Larcker criterion and the cross loadings approach. The
recommended criterion to assess the discriminant validity is the Fornell and Larcker (1981)
criterion. This method compares each construct‟s AVE value with the squared interconstructs
correlation (a measure of shared variance) of that construct with all other constructs in the
structural model. The recommended guideline is that a construct should not exhibit shared
variance with any other construct that is greater than its AVE. From the results of the study, it
indicates that the discriminant validity of the constructs were met. A less complex method to
assessing the discriminant validity is to scrutinize the cross loadings. The suggested guideline for
this method is that an indicator variable should show higher loading on its own construct than
any other construct included in the structural model (Hair, Sarstedt, Ringle, & Mena, 2012). In
the event that the loadings of the indicators are consistently highest on the construct with which
they are associated, then the construct shows discriminant validity”.
3.15.6.2 Assessing the Structural model
After the successful analysis of the measurement model, the structural model is evaluated. To
validate the structural model helps the researcher to evaluate systematically whether the stated
hypotheses are supported by the data (Urbach & Ahlemann, 2010). To assess the structural
model multicollinearity was tested first. Multicollinearity arises when the independent variables
is highly correlated with one or more of the dependent variables in a multiple regression
equation. This test was done to ensure that the constructs in the model are not correlated else this
would increase the error in estimating effect of each construct. The Variance Inflation Factor
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(VIF) is used to test for multicollinearity. The rule of thumb is that VIF of the construct should
be below the upper limit of 5 (Hair et al., 2013).
An important assessment of the measurement model is the coefficient of determination (R2). The
R2 is a measure of the amount of variance in the dependent variable that is explained by the
independent variables. The R2 ranges from 0 to 1, with higher levels indicating a greater degree
of predictive accuracy. As a rule of thumb, R2 values of 0.75, 0.5, 0.25 may be considered
substantial, moderate and weak, respectively (Joseph F. Hair et al., 2012).
Next, the predictive relevance of the model must be assessed using a procedure called
“blindfolding” to calculate the Q2 which assumes that a part of the raw data matrix is missing
during the estimation of the parameters. According to Fornell and Cha (1994, p.72) if this test
criterion is larger than 0, the model is considered to have predictive validity, otherwise, the
model cannot be considered relevant (Fornell & Cha 1994, p.73; Chin, 1998b).
Finally, PLS bootstrapping function was used to generate the t- statistics values. This is a
resampling procedure for estimating the coefficient and the significance of the paths in the
structural model. For the bootstrapping procedure a large number of subsamples (e.g. 5000) are
generated 5000 from the original sample and they are re-estimated for each subsample.
3.15.7 Mediation Analysis
Mediation occurs when a third mediator variable intervenes between two other related constructs
i.e. the dependent and independent variables. Specifically, a change in the exogenous construct
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cause a change in the mediator variable which in turn results in a change in the endogenous
construct in the PLS path model. When the strength of the mediator variable‟s relationships with
other constructs has been determined, the mechanism underlying the cause-effect relationship
between exogenous and endogenous construct is established. In SEM the bootstrap procedure is
used which makes no assumption about sample sizes and data distribution. The results of the PLS
SEM algorithm and the bootstrapping procedure include the direct, the total indirect effect, the
specific indirect effect and the total effect.
3.16 Chapter summary
This chapter discussed the methodology and the philosophical assumptions underlying the study.
Within the context of the study, the positivist‟s philosophy was adopted and reasons for its
adoption was advanced. Secondly, the Structural Equation modelling Technique was adopted and
reasons were assigned for its use in the study. The next chapter looks at the analysis of the
data and the discussion of the results.
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CHAPTER FOUR
ANALYSIS AND DISCUSSION OF RESULTS
4.0 Introduction
This chapter presents the empirical results and empirical analysis with reference to existing
literature. The chapter begins by presenting the descriptive statistics of the respondent‟s profile
and using the statistical technique discussed in the previous section. The outline of this
discussion follows the widely recommended reporting style of PLS analysis as suggested by
previous studies (Chin, 2010). First, the validity and reliability of the measurement model is
assessed. After assessing the quality of the measurement model, the structural model is validated.
This evaluation of the measurement and structural models is based on the reflective model‟s
Indicator reliability, internal consistency reliability, and Convergent validity and Discriminant
validity. Therefore, the empirical results of the total effects contingent on the study‟s hypotheses
are presented and the summary discussion of the study.
4.1 Profile of Respondents
Table 4.1 shows the descriptive characteristics of the respondents with frequencies and
percentages of the key demographic characteristics (e.g. Gender, Age) of the respondents. Out of
the total 337 respondents that participated in the study, 197 representing 58.5% were males with
140 (41.5%) being females. Majority of the respondents fall within the youthful age bracket of
25-39 which cumulatively accounted for 86.9% of the total respondents.
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In terms of the religious affiliation of the respondents, 72.1% of the respondents were Christians
while 24.6% were Moslems. This is expected given that the 2010 Housing and Population census
indicate that Christians constitute 71.2% of the total population with Moslems accounting for
17.6%. Thus, Christianity and Islam are the two dominant religions in Ghana. For marital status,
48.7% were single and 46.6% were married as indicated the respondents were more youthful and
that could account for the high percentage of single individuals in the organization. A follow up
question on the number of dependents indicates that cumulatively 56.7% had at least a dependent
and 43.3% were those with no dependents.
An analysis of the respondents‟ qualification indicates that on average they had bachelor‟s
degree, Masters and Doctorates which indicates that majority of the employees were learned. To
ascertain whether the respondents had professional qualification, the results showed that, 57.3%
of the respondents had ICAG; 34.7% ACCA with a minority of the respondents (8.0%) with the
CIMA qualification. This results show that at least the respondents had a professional
qualification which most accounting firms require before an individual is recruited to work in the
organization.
As regards the representation of firms based on the ICAG classification A1 to D, the results
indicated that majority of the respondents worked with the B1 (27.3%) A (23.4 %) and A1
(21.1%). The results indicate that most of the respondents were from the B1 category of firms
with revenue ranging from 500,000 to 1 million. (See next page for distribution of sample
characteristics)
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Table 4.1: Demographic Characteristics of Respondents Demographics Frequency (n=337) Percentage (%)
Gender Male 197 58.5
Female 140 41.5
Age 20-24 70 20.8
25-29 93 27.6
30-34 81 24.0
35-39 49 14.5
40 and above 44 13.1
Religious Affiliation Christianity 243 72.1
Moslem 83 24.6
African Traditional 4 1.19
Religion
Atheist 6 1.78
Others 1 0.3
Marital Status Single 164 48.7
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Married 157 46.6
Separated 6 1.8
Divorced 8 2.4
Widowed 2 0.6
Number
Dependents
of None 146 43.3
1-3 130 38.6
4-6 53 15.7
7-9 4 1.2
10 and above 4 1.2
Bachelor’s Degree None 72 21.4
Accounting 181 53.7
Non- Accounting 84 24.9
Master’s Degree None 110 32.64
Accounting 93 9.79
Non- Accounting 194 57.57
Doctorate Degree None 318 94.36 Accounting 11 3.30
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Non- Accounting 8 2.40
Professional ICA (GH) 193 57.27
Qualification
ACCA 117 34.72
CIMA 27 8.01
Category of Firm A1 71 21.1
A 79 23.4
B1 92 27.3
B 47 13.9
C 20 5.9
D 28 8.3
4.2 Descriptive statistics of Constructs
Table 4.2 (Appendix 2) shows the standard deviation and means of the respondents‟ assessment
of the various constructs for the study. In total, 73 items were used as indicators for these
constructs. As can be seen from the table, the construct measuring job performance had the
highest ratings by respondents which shows that on average Accountants generally perform
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their jobs (Mean=5.97, SD=1.37) are Spiritually intelligent (Mean=4.60, SD=1.81) and
committed to the values of the organization (Mean=4.59, SD=1.59).
In contrast, Turnover intention emerged with the lowest mean rating (Mean=3.54, SD=2.19)
which indicates that Accountants‟ intention to quit the organization is above average. In
addition, the analysis of the respondents‟ views on the construct job satisfaction (Mean=4.56,
SD=1.99) indicates that on average Accountants were generally satisfied with their job
(Mean=4.56, SD=1.99) and show their religiosity at work (Mean=3.83, SD=1.99). All things
being equal as a result of their satisfaction at work the respondents‟ views on emotional
exhaustion (Mean=3.83, SD=2.11) is an indication that on average the accountant is satisfied
with his emotions at work.
The Turnover Intention construct with 5 indicators out of which the indicator “ I often look to see
if accounting positions in other firms are open” had the highest score ( Mean=3.66,
SD=2.203) and the indicator “I intend to leave this company within the next 6months”
(Mean=3.37, SD=2.151) was the least scored. This implies that on average the respondents had
the intention to leave their job if there are opportunities for them to do so.
Out of the 15 indicators measuring organizational commitment, the indicator “ I am proud to tell
others that I am part of this organization” was rated the highest indicator by the respondents
(Mean=5.41. SD=1.709) whilst the indicator “I do not feel loyal to this organization” was rated
the least (Mean=3.48, SD=2.248). This implies that on average the respondents were committed
to the values of the organization.
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The Job Satisfaction construct had 4 indicators out of which the indicator “How well do you like
your job” was rated highest (Mean=4.94, SD=1.808) whilst the indicator “ How do you feel
about changing your Job” was rated lowest (Mean=4.12, SD=2.055). By implication the
respondents indicated that on average they are satisfied with their job and have no intention of
changing their job. Among the 24 indicators of the Spiritual Intelligence constructs, the
indicators “When I experience a failure, I am still able to find meaning in it” and “I am able to
find meaning and purpose in my everyday experiences” were rated highest (Mean=5.10,
SD=1.64; Mean=5.10, SD=1.761) respectively. However, the indicator “It is difficult for me to
sense anything other than the physical and material” was scored lowest (Mean=4.19, SD=1.978).
The construct Religiosity with 7 indicators out of which the indicator “My current organization
cares about all of its employees” had the highest score (Mean=4.06, SD=2.069) whilst the
indicators “my spirit is energized at work” and “The work I do is connected to what I believe is
important in life” (Mean=3.64, SD=2.099; Mean=3.64, SD=1.902) were the lowest rated.
Therefore, the respondents indicated that on average, they were religious.
Among the 5 indicators, the Emotional Exhaustion construct with the highest score being the
indicator “I feel fatigued when I get up in the morning and have to face another day on the Job
(Mean=3.99, SD=2.038) whilst the indicator “Working with people all the day is really a strain
for me” (Mean=3.50, SD=2.107) was the lowest scored. This means the Accountants were
emotionally exhausted at work. Job Performance construct with 13 indicators out of which the
indicator “I look after my job equipment and use them economically (Mean=6.22, SD=1,234)
had the highest score whilst the indicator “I try to transfer my professional information to others”
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(Mean=5.69, SD=1.577) had the lowest score. By implication, the respondents were ready to
discharge their duties effectively.
4.3 Framework of Analysis
In examining the hypotheses of the study, the researcher was guided by the conceptual
framework as shown in figure 4.1
Figure 4.1: Conceptual Framework
The framework in figure 4.1 it shows the relationship between turnover intentions of accountants
and his/her job performance. It also demonstrates the predictors of turnover intention and the
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mediating role of turnover intention in the relationship between the predictors the Accountant job
Performance. In this study the predictors of turnover intentions of accountants are accountant job
performance are very important from the expectancy theory perspective. According to Vroom‟s
Expectancy theory, an individual‟s behavior results from choices he makes based on alternatives
that he is presented with whose purpose it is to maximize pleasure and minimize pain.
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Figure 4.2: Path diagram
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4.4 Empirical Results from the PLS – SEM
Using the PLS approach facilitates the assessment of complex cause and effects relationship
models with unobserved variables (Joe F. Hair et al., 2012). This statistical technique assesses
the quality of the measurement model and estimates the structural model. Therefore this study
presents the findings of the analysis used to assess the measurement model and proceed to
evaluate the structural model.
4.5 Indicator Reliability
In this study, indicator reliability of the measurement model was examined by using the indicator
loadings of the constructs. An indicator loading of 0.7 and above is the recommended threshold
however, when all the reliability and validity test have been conducted, indicator loadings of 0.4
(Joe F. Hair, Ringle, & Sarstedt, 2011) is acceptable. Based on the analysis, all the indicator
loadings met the recommended threshold of 0.7 and ranges from 0.4 to 0.835, therefore, the
indicator loadings of the constructs were satisfactory. Indicator loadings which did not meet the
criteria above were deleted.
4.5.1 Internal consistency Reliability
Internal consistency measures the extent to which a set of indicators measure the same construct
by testing the correlations among the indicators of a construct. The most common measure of
internal consistency of constructs is the Cronbach alpha. However in PLS SEM, the preferred
measure is the composite reliability(CR) (Chin, 1998). The internal consistency of the
measurement model is valid when the composite reliability of each of the constructs meets the
recommended threshold of 0.7 (Joseph F. Hair et al., 2013). As can be seen in Table 4.2 the
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composite reliability ranges from 0.787 to 0.929 which is above the recommended threshold.
This means that the items used to measure the constructs have satisfactory internal consistency
reliability.
4.5.2 Convergent Validity
In this study, the measurement model‟s validity was assessed using its Average Variance
Extracted (AVE) value. The AVE value is calculated as the mean of the squared loadings for all
indicators associated with the constructs. The recommended threshold of the AVE is 0.5 or
higher as it indicates that on average the construct explains over 50% of the variance of its items.
As can be seen from the results all constructs have AVE ranging from 0.5 to 0.77. This implies
that all the study constructs have demonstrated adequate convergent validity.
4.5.6 Discriminant Validity
Once the reliability and convergent validity of the reflective constructs are successfully
established, the next step is to evaluate discriminant validity of the constructs. Discriminant
validity is the extent to which a construct is empirically distinct from other constructs in the path
model, both in terms of how it correlates with other constructs and in terms of how distinctly the
indicators represent only this single construct. There are three approaches to assessing the
discriminant validity of the constructs, i.e. Fornell and Larcker criterion, the cross loadings and
the heterotrait- monotrait (HTMT) approach. The most common criterion to assess the
discriminant validity in practice however, is the Fornell and Larcker (1981) criterion. This
method compares each construct‟s AVE value with the squared interconstructs correlation (a
measure of shared variance) of that construct with all other constructs in the structural model.
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The recommended guideline is that a construct should not exhibit shared variance with any other
construct that is greater than its AVE. From the results of the study, it indicates that the
discriminant validity of the constructs were met.
A “less rigorous approach to evaluating the discriminant validity is to examine the cross loadings.
The recommended guideline for this approach is that an indicator variable should show higher
loading on its own construct than any other construct included in the structural model (Joe F.
Hair et al., 2012). In the event that the loadings of the indicators are consistently highest on the
construct with which they are associated, then the construct shows discriminant validity. As can
be seen from the results, the cross loadings of the constructs are higher on their own compared to
other constructs in the model”.
Finally a recent approach used in examining the discriminant validity is the HTMT. According to
Henseler et al., (2014) it is the average of the correlation of the indicators measuring different
events among the constructs. One advantage of using the HTMT is that factor analysis is not a
requirement before factor loadings can be obtained. When using the HTMT as a criterion it
demands that it is compared with a predefined criterion. However there is controversy as to the
recommended threshold for establishing discriminant validity. Whilst some researchers
recommend below 0.85 (Clark and Watson, 1995), others recommend 0.90 (Gold et al., 2011).
This “study concludes that the measurement model has established discriminant validity. All in
all, the reliability and validity test conducted on the measurement model are confirmed and
satisfactory. All reliability and validity tests are confirmed and this implies that the measurement
model of the study is fit and valid to be used in estimating the parameters of the structural model”.
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Table 4.2: Fornell and Larcker criterion of Discriminant validity. JP EE JS OC RE SI TI
JP 0.711
EE -0.272 0.769
JS 0.194 -0.284 0.881
OC 0.447 -0.333 0.478 0.718
RE -0.236 0.336 -0.150 -0.310 0.714
SI 0.239 -0.084 0.158 0.435 0.071 0.697
TI -0.201 0.587 -0.381 -0.418 0.375 -0.180 0.850
Note: JP represents Job performance; EE represents Emotional exhaustion; JS represents Job
satisfaction; OC represents Organizational Commitment; RE represents Religiosity; SI represents
Spiritual intelligence and TI represents Turnover intention.
Table 4.3: Results of Heterotrait-monotrait Ratio (HTMT) analysis. JP EE JS OC RE SI TI
JP
EE
0.268
JS 0.227 0.337
OC 0.490 0.375 0.626
RE 0.236 0.387 0.187 0.350
SI 0.344 0.143 0.218 0.559 0.145
TI 0.193 0.652 0.470 0.485 0.407 0.202
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From table 4.4, the square roots of the AVEs are shown on the diagonals; the figures below the
diagonals are the correlations between the constructs. From the table, all figures on the diagonals
are greater than the figures beneath them, which is an indication that discriminant validity is
assured.
From table 4.4 in all cases the Heterotrait- Monotrait (HTMT) values are below the threshold of
0.85 or 0.90 (Hair et al., 2013) as the table shows and this also confirm that discriminant validity
exists.
Table 4.4: Cross loadings
OC1 0.683 0.409 -0.207 0.364 -0.211 -0.267 0.282
OC10 0.690 0.335 -0.198 0.291 -0.217 -0.277 0.280
OC2 0.766 0.349 -0.272 0.343 -0.276 -0.314 0.417
OC5 0.681 0.226 -0.218 0.264 -0.204 -0.293 0.307
OC6 0.760 0.335 -0.227 0.313 -0.279 -0.345 0.312
OC8 0.720 0.352 -0.212 0.304 -0.236 -0.296 0.320
JS1 0.459 0.902 -0.139 0.145 -0.262 -0.362 0.157
JS2 0.379 0.860 -0.125 0.133 -0.237 -0.307 0.187
R1 -0.094 0.030 0.404 0.061 0.174 0.143 -0.118
R2 -0.134 0.024 0.636 -0.049 0.186 0.196 -0.074
R3 -0.165 -0.007 0.713 -0.046 0.213 0.193 -0.124
R4 -0.162 -0.022 0.733 -0.061 0.215 0.206 -0.119
R5 -0.241 -0.161 0.835 -0.063 0.276 0.313 -0.198
OC JS R SI EE TI JP
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R6 -0.386 -0.287 0.823 -0.132 0.280 0.362 -0.266
SI14 0.195 0.079 0.067 0.529 -0.020 -0.026 0.197
SI15 0.323 0.126 -0.057 0.745 -0.129 -0.148 0.165
SI16 0.283 0.104 -0.033 0.764 -0.050 -0.121 0.171
SI20 0.363 0.122 -0.086 0.722 -0.007 -0.135 0.185
EE1 -0.120 -0.096 0.258 0.011 0.713 0.361 -0.177
EE2 -0.156 -0.133 0.152 -0.041 0.752 0.334 -0.127
EE3 -0.140 -0.164 0.278 -0.001 0.773 0.425 -0.139
EE4 -0.319 -0.248 0.301 -0.068 0.787 0.471 -0.301
EE5 -0.435 -0.362 0.278 -0.171 0.815 0.589 -0.257
TI1 -0.281 -0.290 0.311 -0.095 0.539 0.840 -0.171
TI2 -0.384 -0.330 -0.308 -0.178 0.510 0.853 -0.153
TI3 -0.342 -0.348 0.302 -0.165 0.508 0.863 -0.146
TI4 -0.337 -0.283 0.339 -0.111 0.440 0.828 -0.179
TI5 -0.427 -0.364 0.335 -0.206 0.496 0.864 -0.204
JP10 0.212 0.125 -0.086 0.180 -0.107 -0.046 0.610
JP13 0.158 0.091 -0.122 0.122 -0.074 -0.059 0.571
JP2 0.438 0.192 -0.243 0.225 -0.226 -0.146 0.823
JP3 0.369 0.160 -0.228 0.168 -0.234 -0.179 0.791
JP4 0.347 0.119 -0.208 0.224 -0.263 -0.189 0.803
JP5 0.351 0.212 -0.191 0.091 -0.247 -0.213 0.769
JP6 0.364 0.160 -0.132 0.197 -0.163 -0.127 0.744
JP7 0.247 0.061 -0.108 0.177 -0.144 -0.116 0.679 JP8 0.300 0.084 -0.114 0.227 -0.177 -0.100 0.665
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JP9 0.215 0.079 -0.115 0.204 -0.087 -0.034 0.595
4.6 Analysis of the Structural Model Results
This section discusses the results of the SEM technique used to analyze the relationships among
the study constructs based on the study‟s conceptual framework. In order to assess the relevance
of the model, collinearity diagnostic checks are conducted by estimating the Variance Inflation
Factor (VIF) for the indicators of the various constructs. The coefficient of determination ( )
and predictive relevance of the model ( ) are also evaluated before proceeding with
bootstrapping procedure to assess the magnitude and strength of the path model. In addition, the
mediation relationships as proposed in the research model are also assessed and tested using the
guidelines recommended by Hair, Sarstedt, Hopkins, & Kuppelwieser (2014).
4.6.1 Variance Inflation Factor (VIF) Results
To assess the extent of multicollinearity among the constructs in the PLS SEM, VIF values are
used. Multicollinearity arises when the study constructs are highly correlated with one another in
a multiple regression equation. This test was conducted to ensure that the constructs in the model
are not correlated else this would increase the error in estimating effect of each construct in order
to prevent unbiased estimates.
Different arguments have been advanced as to the acceptable threshold for the VIF. While for
instance O‟Brien (2007) argue that VIF of 10 or less than four have been used as rule of thumbs
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for serious multicollinearity whereas Hair et al., (2013) argue that VIF of the construct below
the upper limit of 5 is an indication of no multicollinearity problems . From the table the VIF
values are below 5 and above. The highest is 2.596 which can be attributed to Turnover
intention. The results show that all the seven (7) constructs are free from the problem of
multicollinearity. Next to test the structural model is the coefficient of determination (R2) and the
path coefficient.
Table 4.5: The results of outer VIF Construct name Code VIF
Turnover Intention TI1 2.292
TI2 2.440
TI3 2.596
TI4 2.239
TI5 2.546
Organizational OC1 1.648
commitment
OC2 1.953
OC5 1.428 OC6 1.639
OC8 1.555
OC10 1.548
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Job Satisfaction JS1 1.447
JS2 1.447
Religiosity R1 1.147
R2 1.633
R3 1.817
R4 1.803
R5 2.236
R6 1.999
R7 1.732
Spiritual Intelligence S114 1.321
SI15 1.290
SI16 1.375
SI20 1.216
Emotional Exhaustion EE1 1.599 EE2 1.792
EE3 1.805
EE4 1.740
EE5 1.741
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Job Performance JP2 2.383
JP3 2.072
JP4 2.176
JP5 1.751
JP6 2.075
JP7 1.841
JP8 1.610
JP9 1.558
JP10 1.447
JP13 1.697
4.6.2 The coefficient of determination (R2)
The R2 is a measure of the amount of variance in the dependent variable that is explained by the
independent variables. The R2 ranges from 0 to 1, with higher levels indicating a greater degree
of predictive accuracy. As a rule of thumb, R2 values of 0.75, 0.5, 0.25 may be considered
substantial, moderate and weak, respectively (Hair et al., 2012). In this study, Smart PLS
algorithm function is employed to arrive at the R2 values while the Smart PLS bootstrapping
function is used to generate the t- statistics values. For the study, the bootstrapping generated
5000 samples from 337 cases. The results of the structural model can be seen below. The
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coefficient of determination R2 is 0.04 for Accountant Performance. This implies that Turnover
intention explains 4% of the variance in Accountant Performance and by extension has a weak
predictive value. With regard to the Turnover intention, the five (5) constructs (OC, JS, R, SI,
and EE) explain 44.3% of the variance in Turnover intention of Accountants and these have
average predictive power.
Table 4.6: R Squared Constructs R Squared R squared Adjusted
JP 0.04 0.038
TI 0.443 0.434
4.6.3 Blindfolding
Next the model‟s predictive relevance was tested by means of the non-parametric Stone–Geisser
test (Geisser 1975, Stone 1975; Fornell & Cha 1994; Chin 1998). This test employs the
“blindfolding” procedure which assumes that a part of the raw data matrix is missing during the
estimation of the parameters. “The blindfolding technique produces general cross-validation
metrics as well as the parameter estimates‟ jackknifing standard deviation. The Stone-Geisser
test criterion Q2 which is known as cross validated redundancy is interpreted without loss of
degrees of freedom”.
The construct cross validated redundancy (Q2) is a measure indicating the out-of-sample
predictive relevance, that is, the capability of the model to predict endogenous latent variables. It
shows how well the data collected empirically can be reconstructed with the help of the model
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and the PLS parameters (Fornell & Cha 199). According to Fornell and Cha (1994) if this test
criterion is larger than 0, the model is considered to have predictive validity, otherwise, the
model cannot be granted predictive relevance (Fornell & Cha 1994, p.73; Chin, 1998). From the
study, the predictive relevance of the model was 0.015 for accountant job performance and 0.296
for turnover intention. These results indicate that the model has predictive relevance.
Table 4.7: Blindfolding Constructs Q2 (=1-SSE/SSO)
Job Performance 0.015
Turnover Intention 0.296
4.6.4 Evaluation of Path Coefficients
In the structural model, each path connecting a latent variable represents a hypothesis. The
analysis conducted on the structural model, permits the researcher to confirm or disconfirm each
hypothesis as well as comprehend the strength of the relationship between dependent and
independent variables. Prior research suggests that the size of the path coefficient needs to be
assessed to determine the impact it has on the model ( Hair et al., 2014). Hair et al., (2011)
suggests that path coefficient of 0.1and above indicates that the path coefficient is significant.
Using the bootstrap procedure as discussed earlier in the study, the path significance of the model
was assessed. As regards its interpretation, paths that were classified “accepted” were those that
met the recommended threshold of 0.1 and above. They were statistically significant and showed
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signs that support the proposed hypotheses. However, paths that did not show signs that support
the hypotheses were classified as “Not accepted”. Therefore, the results of the standard
coefficient and their p-values permitted the researcher to accept or not to accept the proposed
hypotheses and as well as get a better appreciation of the direction of each relationship.
The results of the main hypotheses are discussed in the next section.
4.7 Hypotheses Testing
Findings of each proposed hypothesis is discussed in this section of the study. 4.7.1 Organizational commitment and Turnover Intention (H1)
The regression results as presented in Table 4.8 suggest that organizational commitment is
negatively and significantly related to Turnover intention of the Accountant (β=-0.118, and
pvalue=0.060). This implies that when the Accountant is committed to the values of the
organization, his intention to leave the organization is low. The argument is that organizational
commitment is an important variable in discussions involving turnover intention thus when
employees are more committed to the organization they will not move to another organization
not even when there are incentives in other organizations (Tarigan & Ariani, 2015). Empirically,
this findings is consistent with prior studies (Jannah, Baridwan, & Hariadi, 2016; Aydogdu,
2011, Tarigan & Ariani, 2015; Rizwan et al., 2010) that associate organizational commitment
with turnover intention. As pointed out by Jannah et al., when the commitment of an individual
towards the immediate organization is high his intention to leave the organization is low. The
results of the study thus, confirmed the stated hypothesis (HI) and the assertion that
organizational commitment is an important predictor of employees‟ turnover intention in
organizations.
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4.7.2 Job Satisfaction and Turnover Intention (H2)
The relationship between Job Satisfaction and accountant‟s turnover intention also yielded a
negative and a highly significant relationship (β=-0.167, and p- value=0.005). This means that
when the accountant is pleased with his job, his intention to quit the organization is low. By
implication, an important way of maintaining long term working relationship with employees of
accounting firms is to ensure that they get some minimum level of satisfaction with their work.
Several empirical studies (Yücel, 2012; Jannah et al., 2016; Dole & Schroeder 2001; Medina,
2012) have reported results consistent with the fact that job satisfaction has important
implications on the turnover intentions of employees. According to Jannah et al., (2016) job
satisfaction increases with age thus younger people tend to be disappointed in the early years of
their career but as they advance in years, they become satisfied with their job. Medina (2012)
also indicates that job satisfaction has a stronger influence on young Adults turnover intention
than mature adults. This implies that when young adults have been engaged to work in
organizations, they look out for the satisfaction they can derive from the organization and this
decrease their intention to quit the organization. That notwithstanding, empirically this results is
consistent with prior studies that job satisfaction leads to low turnover intention. Therefore, the
results of the study confirmed the stated hypothesis (H2).
4.7.3 Religiosity and Turnover Intention (H3)
Test of the relationship between Religiosity and Turnover intention in Table 4.8 revealed that
there is a positive and statistically significant relationship (β=0.161 and p- value=0.009) between
religiosity and turnover intentions of accountants. Thus, contrary to the predicted hypothesis
(H3) and the expectation of this study, the results indicate that the more religious a person is the
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higher that found an inverse relationship between religiosity and turnover intentions. The
argument put forward by Weaver and Agle (2002) is that individuals internalize their religious
values which gives them an identity that may influence their ethical behaviours at work. Again
their religiosity prevents them from engaging in any negative tendencies at work. Thus, the
employee sees his/her work as a part of his/her being in which nothing will be done to discredit
it. While the finding of this study appears strange, it calls for the need to revisit the issue of
religiosity and its effect on the working life of the average Ghanaian. It must however be noted
that other studies have reported an insignificant association between religiosity and turnover
intentions (Hassan et al., 2015). Thus, the exact relationship between religiosity and turnover
intentions is not immediately known in the literature. On the basis of the above discourse,
hypothesis (H3) is rejected.
4.7.4 Spiritual Intelligence and Turnover Intention (H4)
From Table 4.8, Spiritual Intelligence has a negative (β=-0.053 and p-value=0.278) but not
significant relationship with turnover intention of accountants. As hypothesized the result
suggests that the spiritually intelligent person i.e. the capacity for a person to ask question about
the meaning of life and to feel the connection between himself and the world he lives in (Malik
& Tariq, 2016) does not have the intention to leave the organization. Empirically this result is
consistent with previous studies (Rashvand & Bahrevar, 2013).The confirmation of this
hypothesis indicates that organizations must consider Spiritual intelligence as a factor which
affects the behaviours of employees in terms of their intention to leave the organization. Thus,
highly spiritually intelligent person has no intention of quitting his job. When a person has clear
understanding of the reason for his life, he is able to make decisions through thoughts, attitudes
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and behaviours which prevent him from engaging in any negative tendencies at work. The result
support the stated hypothesis (H4) that spiritual intelligence is a factor in determining the
turnover intention of the accountant.
4.7.5 Emotional Exhaustion and Turnover Intention (H5)
In terms of the relationship between emotional exhaustion and turnover intention, the study
found a positive and highly significant relationship between emotional exhaustion of the
accountant and his turnover intention (β=0.442 and p-value=0.000). The result implies that when
an individual is emotionally exhausted, his intention to quit the organization is high. In addition,
when employees are autonomous it reduces their emotional exhaustion at work compared to
when their roles have not been clearly defined. The findings is consistent with prior studies
(Cherniss, 2000; Ducharme et al.,2008) that emotional exhaustion is positively related with
turnover intention. The findings confirms the stated hypothesis (H5) that emotional exhaustion is
a determinant of turnover intention.
4.7.6 Turnover Intention and Accountant Performance (H6)
The regression results also demonstrate that in Turnover intention has a negative and significant
relationship with Accountant job performance (β=-0.201, p-value=0.000). This means that when
the Accountant has the intention to quit the organization, his output at work will be low and this
could affect the overall productivity of the organization. The argument is that turnover intention
is an important variable in discussions on job performance of the accountant in the organization
thus, when an employee has the intention to quit the organization his performance will be low
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because he/she will not give off his/her best for the organization and this leads to general
productivity losses to the organization. . Empirically, this result is consistent with previous
studies (Jaramillo, Mulki, & Solomon, 2017) that sought to look at turnover intention and job
performance. Therefore the stated hypothesis in this study (H6) was confirmed.
Table 4.8: Path Coefficients, Direct Effect (P-value), Significant Level for All Hypothesized Paths.
Hypotheses Path Standard Direct Effect Results
Coefficient (P-value)
H1 Organizational commitment->Turnover
Intention
-0.118 0.060* Accepted
H2 Job Satisfaction->Turnover Intention -0.167 0.005*** Accepted
H3 Religiosity->Turnover Intention 0.161 0.009*** Accepted
H4 Spiritual Intelligence->Turnover Intention -0.053 0.278
Not Accepted
H5 Emotional Exhaustion->Turnover
Intention
0.442 0.000*** Accepted
H6 Turnover Intention->Accountant Job
Performance
-0.201 0.000*** Accepted
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Significance level: ***1%; **5%; *10%. The Table shows the path coefficients of the
various relationships and P-value.
Out of the six proposed hypotheses, five (H1, H2, H4, H5, H6) were confirmed, however
statistically 5 were significant at 1%, 5%, and 10% respectively. Indicating that Organizational
commitment, job satisfaction, Religiosity, Emotional Exhaustion and Turnover intention are
good predictors of Accountant job performance whereas Spiritual intelligence was not
statistically significant, indicating that when an employee is spiritually intelligent his intention to
quit the organization is low but it does not impact the organization.
4.8 Discussion of Mediation Analysis
Mediation occurs when a third mediator variable intervenes between two other related constructs.
Specifically, a change in the exogenous construct cause a change in the mediator variable which
in turn results in a change in the endogenous construct in the PLS path model.
When the strength of the mediator variable‟s relationships with other constructs has been
determined, the mechanism underlying the cause-effect relationship between exogenous and
endogenous construct is established.
The results of the PLS SEM algorithm and the bootstrapping procedure include the direct, the
total indirect effect, the specific indirect effect and the total effect. PLS results permits the
researcher to conduct mediator analysis (Sarstedt, Ringle, & Hair, 2017). Some researchers in a
naïve manner have considered the direct effect and not paying attention to the mediating effects
completely. The reason is that there is a seeming ambiguity regarding how to evaluate the
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mediating effects in PLS SEM (F. Hair Jr et al., 2014). However, there has been attempts by
scholars to show how mediating analysis can be done but more guidance has been recommended.
Not to arrive at wrong conclusions, the quality of the structural model must be considered.
In analysing mediating relationship among constructs in research, three (3) criteria have been put
forward. First there should be the indication that there is a significant relationship between the
independent variable and the dependent variable. Secondly, to indicate that the predictor is
related to the mediator. Thirdly to show that the mediator is related to the outcome (Hayes,
2009).
All in all, turnover intention was used as a mediator variable in the analysis of the various
constructs in this research and the following were the results.
Table 4.9: Total indirect effects of constructs Original
Sample
Sample
Mean
(Mean)
Standard
Deviation
T- Statistics P-
Value
Emotional Exhaustion->Turnover intention->Accountant Performance
-0.089 -0.097 0.025 3.545 0.000
Job satisfaction->Turnover
Intention->Accountant
Performance
0.034 0.035 0.014 2.344 0.019
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Organizational
commitment>Turnover Intention-
>Accountant
Performance
0.024 0.027 0.016 1.457 0.146
Religiosity->Turnover Intention->
Accountant Performance
-0.032 -0.034 0.015 2.187 0.029
Spiritual Intelligence->Turnover
Intention->Accountant
Performance
0.011 0.014 0.011 0.949 0.343
4.8.1 Organizational commitment and Accountant Performance
As shown in Table 4.8, organizational commitment through turnover intention is positively
related to Accountant performance (β=0.024, and a p- value of 0.146). This findings confirms
prior studies (Tolentino, 2013) which indicates that when the individual is committed to the
tenets and values of the organization, his intention to quit is low and this shows in his
performance at work. However, the results indicates that organizational commitment through
turnover intention as a mediator is not significant on accountant performance. Therefore
committed employees in the organization perform the task assigned them in relation to the
objectives of the organization. They think positively about the organization and sees the
organization as a part of them.
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4.8.2 Job Satisfaction and Accountant Performance
From the regression results in table 4.8, Job satisfaction via turnover intention is positively
related (β=0.034) to accountant‟s Performance with a p-value of 0.019. Statistically, it is
significant. This means that when a person is satisfied with his job, he will perform his assigned
task well. This results is consistent with literature (Van Dick et al., 2004). The argument put
forward by Ng, Sorensen & Kim (2009) is that job satisfaction vary across cultures giving the
indication that when studying the predictors of job performance the culture of the people must be
considered. That notwithstanding empirical results show that the dimensions (Peng, 2014) of job
satisfaction and job performance are significantly related. This affirms that job satisfaction is a
key determining factor of accountant job performance.
4.8.3 Religiosity and Accountant Performance
As can be seen from table 4.8, religiosity through turnover intention is negatively and
significantly related to accountant performance (β=-0.032, and a p-value of 0.029). This results
means that when a person is religious it does not guarantee his performance at work. However,
the result contradicts prior research which saw religiosity as positively related to performance
(Weaver & Agle, 2002). The argument advanced by Weaver and Agle (2002) is that the religious
person imbibes the teachings and norms of the religion that he is affiliated to, thus he applies the
teachings of the religion to work and as expected it enhances his work. In contrast to this
argument the current result indicates that religiosity does not lead to work performance.
Therefore the hypothesis is not confirmed by this result.
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4.8.4 Spiritual Intelligence and Accountant Performance
Test of relationship between Spiritual intelligence through turnover intention as a mediating
variable to Accountant Performance is positively related (β=0.01, and a p-value =0.343) but not
statistically significant. The implication is that, when a person is spiritually intelligent i.e. using
spiritual resources in solving problems (Zohar & Marshall, 2000) his intention to quit the
organization is low and this helps in his performance at work. According to Zohar and Marshall
(2000) when an individual has a high spiritual intelligence he exhibits traits of job satisfaction
and job performance hence low spiritual intelligence leads to negative behaviours at work. The
findings is consistent with literature (Estanesti, 2016). Unlike Estanesti (2016) whose findings
suggested that Spiritual intelligence is significantly related to Job Performance, the current
findings are to the contrary.
4.8.5 Emotional Exhaustion and Accountant Performance
The results indicate that Emotional Exhaustion through Turnover intention is negatively related
(β=-0.089, p-value=0.000) with Accountant Job Performance. This result implies that Emotional
Exhaustion indirectly imparts on accountant‟s performance. If a person is emotionally exhausted
his performance at work will be low. It can be deduced from this result that turnover Intention
plays a significant role between Emotional Exhaustion and Accountant Job Performance. This
study is consistent with prior studies (Fogarty & Kalbers, 2006). Further, the result supports the
argument that emotional exhaustion has an inverse relationship with Accountant performance
which shows that when a person is emotionally exhausted his intention to leave the organization
will be high and it will affect his performance at work (Petrou, Demerouti, & Schaufeli, 2015).
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4.9 Chapter Summary
This chapter has looked at the descriptive characteristics between respondents and the analysis of
the constructs for the research. From the analysis of the research, out of the six (6) hypothesis
that were tested, five of them were empirically supported (Organizational commitment, Job
Satisfaction, Spiritual Intelligence, Emotional exhaustion and Turnover intention). However, the
study finds that Religiosity was positively related to Turnover Intention and negatively related to
Accountant Job Performance. This findings contradict earlier studies conducted by Weaver &
Agle ( 2002).
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CHAPTER FIVE
SUMMARY, CONCLUSIONS AND RECOMMENDATIONS
5.0 Introduction
This chapter summarizes the key findings analysed from the data gathered from the 225Auditing
firms as at 2015. It discusses the major implication of the findings and conclusion that can be
drawn from the study. It further discusses the contribution to the literature and the researcher‟s
recommendation for practice, policy, academia and thereafter conclusions to the study.
5.1 Summary of findings.
First, the findings of the research indicate that organizational commitment has a significant
negative relationship on turnover intention of Accountants in their discharge of their duties. This
implies that when a person is committed to the course of the organization, his intention to quit
the organization is low. However, organizational commitment mediated by turnover intention is
positively related to accountant job performance but it was not significant. This is contrary to the
widely held view that organizational commitment is positively and significantly related to the job
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performance of the accountant. By implication, when an accountant is committed to his job,
although he will perform his assigned task, his performance will not be highly significant.
Second the findings from this study indicates that there is a negative and significant relationship
between job satisfaction and turnover intention. This results implies that when an accountant is
satisfied with his job, his intention to quit the organization is low. This can be attributed to the
fact that he sees himself as part of the organization and does everything to make sure the
organization succeeds. In addition, when job satisfaction is mediated by turnover intention to
accountant job performance, there is a significant positive relationship. Impliedly, when the
accountant is satisfied with his job his performance is high because he has no intention to quit the
organization. Job performance of the accountant is low when he is dissatisfied with his job and as
such it has negative consequences on the organization.
Third, the results from the study contradicted the hypothesis that there is a negative relationship
between religiosity and turnover intention as stated in the study. Instead, the result indicates that
there is a significant, positive relationship between religiosity and turnover intention of the
accountant. This findings means that, when a person is religious, his intention to quit the
organization is high and when mediated by turnover intention, there is a significant negative
relationship between religiosity and job performance. Impliedly, being religious does not result
in the job performance of the Accountant. The findings contradicted the widely held view that
religiosity plays a key role in the performance of the accountant (Weaver & Agle, 2002).
Fourth, the results from the study indicates that there is a negative but not significant relationship
between spiritual intelligence and turnover intention. This result suggests that when the
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accountant is spiritually intelligent, his intention to quit the organization is low and when
mediated by turnover intention it has a positive relationship with accountant job performance.
This result connotes that when the accountant is spiritually intelligent, his performance is high
because his intention to leave the organization is also low.
From the results, emotional exhaustion true to the stated hypothesis is positively and highly
significantly related to turnover intention. The results suggests that when the accountant is
emotionally over extended or drained, his intention to leave the organization is high. This can be
attributed to stress or burnout which are all components of emotional exhaustion. However, when
mediated by turnover intention, emotional exhaustion is negatively and significantly related to
Accountant job performance. Impliedly, when a person is emotionally exhausted, his
performance in the organization is affected and as a result cannot give out his best to the
organization.
Finally, the result shows that turnover intention is significantly and positively related to
Accountant job performance. This result implies that intention to quit an organization affects the
performance of the accountant in the organization. This is to say that when the accountant has the
intention to leave an organization, he does not give up his best and will be looking for the next
opportunity to exit the organization.
Conclusion
The study concludes that in the context of this research, accountants Job Performance is
determined by the level of a person‟s Job satisfaction, commitment at work, his Religiosity,
how spiritually intelligent he is, and emotional exhaustion. With these factors in mind, they are
linked with his intention to quit the organization. From this study, Religiosity which has been
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defined as a person‟s adherence to religious norms, values and practices was found to be
negatively related to Accountant Job Performance.
5.2 Implications of the findings
A plethora of implications can be inferred from this study. From the study, turnover intention is
predicted by many factors. First, as indicated by the findings, organizational commitment, plays
a role in the turnover intention and the performance of accountants in the organization and when
given the needed attention in the organization, the accountant performs effectively and
efficiently. Given that organizational commitment gives a positive and healthy outlook to the
accountant and enhances the performance of the organization as a whole, policy makers must
strive to ensure that accountants work in an environment where they can give out their best.
Similarly, job satisfaction from the empirical results shows that it plays a key role in the turnover
intention of the accountant in the organization. Organizations with satisfied employees have less
turnover intention rate and performance is high. However, dissatisfied employees have high
turnover intentions and by extension their performance in the organization is affected. It
therefore means that management in the organization put in processes that seek to benefit the
employees so that they can give out their best.
Second, findings from this study also emphasize that religiosity does not necessarily lead to
accountant job performance. The implication is that when the accountant purports to be religious
in his outlook and uses it as a means to an end, it may have negative consequences on the
organization. It may be as a result of using religion as a cover up in the organization when this is
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critically assessed it may not be the case. This has a lot of implications to the management in the
organization. It re-echoes the debate that religion must be decoupled from the work environment.
Work and religion could be likened to oil and water, any form of mixture is not possible. In
organizations where religion has been used as a soft spot for recruiting employees into
organizations, there should be a critical look at this criteria. For academic researchers, this
finding is an avenue to consider when conducting any study on organizational performance
because it is a grey area which is less studied.
Third, the findings from this study indicates that the emotional needs of the accountant must be
taken into consideration at the work place. This implies that just as the goal of organizations is to
maximize profit and shareholders „wealth, the human capital must not be overlooked in decision
making in the organization. From a positive organizational outlook, policy effort at addressing
the emotional exhaustion of employees at the workplace has a far reaching consequences for the
performance of the organization. Finally, the findings from this study has important implication
for strategies aimed at closing the gap between the spiritual and the physical components of the
human person in the organization. The significant issue emanating from this study is that policy
effort to assess the performance of the accountant in the organization must embrace human
person holistically.
5.3 Limitations of the Study
Although this study has contributed to the body of knowledge, it comes with some limitations.
First, the study was survey based and it used samples drawn from Accountants who were
working with the 225 accounting firms in Ghana. They may not be the entire list of Accountants
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in Ghana, hence their responses cannot be generalized. Next, the study looked at individual
Accountants within the Auditing firms and their views (philosophy about work) may be different
from the organizational goals. Therefore, their responses may not be a reflection of that of the
organization.
The study focused on the effects of the antecedents on the turnover intention of the accountant.
However, there may be more predictors and consequences of turnover intention not only on job
performance which was not considered in the current study. This limitation does not in any way
affect the results, but would however be a breeding ground for future research.
5.4 Recommendations
It has been established in Literature that there are predictors to turnover intention which affect
organizations‟ performance (Jannah et al., 2016). There is therefore an indication that these
factors may not be the only factors which predict turnover intention. This study sought to look at
both the physical and spiritual component of the human person and how it affects his decision to
leave the firm and by extension his performance as an Accountant. It is against this background
that the following recommendations for policy and practice is made.
Ultimately, management of accounting firms must put in place structures, policies which seek to
retain high quality staffs (Accountants). Since the Accounting profession is one of the
emotionally draining jobs, motivation of the Accountants must be their priority. Developing
strategies that seek to reduce emotional exhaustion of Accountants is important for the employee
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and the organization at large. Therefore, management should look at improving job resources for
employees so as to be effective and efficient at the workplace.
Undoubtedly, Religiosity at work is encouraged but should be done in moderation. Contextually,
Ghanaians have been known to be highly religious. For instance in every corner of the country,
there are sign posts pointing to one Church or the other Religious leader. However, these sign
posts mean nothing when the adherents of these religions do not apply the norms and values at
work for effectiveness and efficiency. Thus, when Religion is carried to the workplace it must
not take precedence over the core ethics of work. Therefore firms must put in measures to curtail
turning the work environment into prayer centres since this has the tendency of reducing
productivity of the accountant.
5.5 Suggestions for Future Research
Future research should investigate whether the established relationships in this study can be
replicated in countries other than where it was studied. Next, future research can investigate
some level of country characteristics (for instance unemployment rate, inflation rate) on the
turnover intention of accountants. This will be useful in ascertaining whether the general
economic factors of a country has any bearing on the turnover intention of accountants in the
country. Another extension will be to consider the role of organizational politics vis-à-vis
turnover intention of the accountant and by extension their job performance in the organization.
In this regard, the political environment in the organization could be used either positively or
negatively in the advancement in the organization. Therefore, it is worth considering the
organizational politics in accounting firms.
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Future research could also consider the reverse causality by using accountant job performance as
predicting the antecedents of turnover intention. In this regard, future studies could investigate
whether an accountant‟s job performance has any bearing on his satisfaction, organizational
commitment religiosity, emotional exhaustion and spiritual intelligence.
5.6 Contributions
A considerable number of contribution has emerged from this study which can be classified into
two i.e. as academic and practical contributions respectively.
To academia, the findings of this study are expected to offer new appreciation in the discourse on
turnover intention of accountants specifically looking at the factors that predict it from a
developing country‟s perspective where there is a dearth of research in this area. While most
studies looked at factors that predict turnover intentions of accountants with emphasis on the
physical component of the human person, this study examined both the physical and the spiritual
component of the human person.
Again, the study broadened the framework of Fogarty et al.,(2000) who did not include
organizational commitment and job satisfaction in their study when they were predicting
turnover intention of accountants. As suggested by Saeed et al., (2014) that any study predicting
turnover intention must include organizational commitment and job satisfaction. Not only
broadening the framework but the study added Religiosity and Spiritual intelligence which are
the spiritual dimension of the human person. This is a unique framework which have not been
done in any study that investigates both the physical and spiritual component of the human
person in the same research.
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Additionally, the findings of this study demonstrate the mediating effect of turnover intention in
the relationship between the antecedents and the accountant job performance. This study shows
that turnover intention which is a behavior that an accountant will exhibit before actual turnover
serves as a good mediator of the relationship between the antecedents and accountant job
performance. The study provided empirical support to propose the importance of examining the
effects of the mediation on the accountant job performance
Practically, this study was conducted with the 225 Auditing firms in Ghana as at 2015. The
findings of this study will be made available to them as to the role religiosity for instance plays in
the performance of the accountant in the organization. An appreciation of the antecedents and
consequences of turnover intention and the job performance of the accountant will be made
known to them since it has a huge implication for the success and performance of the accountant
and the organization as a whole.
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APPENDIX 1
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APPENDIX 2 Table 0.1: Descriptive for Indicators
Code Constructs Mean STD.
DEV.
Turnover Intention 3.54 2.190
TI1 I am starting to ask my friends about other job possibilities
3.62 2.183
TI2 I am thinking about quitting my job 3.44 2.118
TI3 I intend to leave this company within the next 6 months
3.37 2.151
TI4 I often look to see if accounting positions in other firms are open
3.66 2.203
TI5 I am thinking about contacting a recruiter about other job possibilities
3.59 2.299
Organizational
Commitment
4.59 1.59
OC1
I am willing to put in a great deal of effort beyond what is normally expected in order to help this organization be successful.
5.26 1.963
OC2 I talk about this organization to my friends as a 4.98 1.749
great organization to work for.
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OC3 I do not feel loyal to this organization. 3.48 2.248
OC4 I would accept almost any type of job assignment in order to keep working for this organization.
4.51 1.979
OC5 I find that my values and the organization’s values are very similar.
4.92 1.773
OC6 “I am proud to tell others that I am part of this organization”.
5.41 1.709
OC7 “I could just as well be working for a different
organization as long as the type of work was
Similar”.
4.51 2.000
OC8 “This organization really inspires the very best in me in the way of job performance”.
5.04 1.720
OC9 “It would take very little change in my present
circumstances to cause me to leave this
organization”.
4.29 1.888
OC10 “I am extremely glad that I chose this organization to work for, over others I was considering at the time I joined”.
4.91 1.886
OC11 There’s not too much to be gained by sticking with
this organization indefinitely. 3.99 2.062
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OC12 Often, I find it difficult to agree with this organization‟s policies.
4.06 2.132
OC13 I really care about the future prospects of this organization.
5.29 1.763
OC14 For me this is the best of all possible
organizations to work for.
4.59 2.054
OC15 Deciding to work for this organization was a definite mistake on my part.
3.63 2.368
Job Satisfaction 4.56 1.990
JS1 How satisfied are you with your job? 4.85 2.006
JS2 How well do you like your job? 4.94 1.808
JS3 How do you feel about changing your job 4.12 2.106
JS4 How often do you compare yourself with other people in the same job?
4.34 2.055
Religiosity 3.83 1.99
R1 My spirit is energized by my work 3.64 2.049
R2 The work I do is connected to what I believe is important in life.
3.64 1.902
R3 My work adds personal meaning to my life. 3.69 1.954
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R4 I feel part of a community at work. 3.90 1.989
R5 I feel there is a sense of being part of a family in my work environment.
3.87 1.978
R6 I feel positive about the values of my organization.
4.03 2.009
R7 My current organization cares about all of its employees.
4.06 2.069
Spiritual
Intelligence
4.604 1.810
SI1 I have often questioned or pondered the nature of
reality.
4.30 2.068
SI2 I recognize aspects of myself that are deeper than
my physical body.
4.80 1.762
SI3 I have spent time contemplating the purpose or
reason for my existence.
4.80 1.825
SI4 “I am able to enter higher states of consciousness 4.82 1.787
or awareness”.
SI5 “I am able to deeply contemplate what happens
4.73 after death”.
1.884
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SI6 “It is difficult for me to sense anything other than
the physical and material”. 4.19 1.978
SI7 “My ability to find meaning and purpose in life
helps me adapt to stressful situations”. 5.07 1.675
SI8 “I can control when I enter higher states of
consciousness or awareness”. 4.74 1.778
SI9 “I have developed my own theories about such
things as life, death, reality, and existence”. 4.65 1.906
SI10 “I am aware of a deeper connection between
myself and other people” 4.92.
1.696
SI11 I am able to define a purpose or reason for my
4.95 life.
1.754
SI12 “I am able to move freely between levels of
consciousness or awareness”. 4.88
1.737
SI13 I frequently contemplate the meaning of events in
4.68 my life.
1.813
SI14 I define myself by my deeper, non-physical self. 4.74 1.800
SI15 “When I experience a failure, I am still able to find
meaning in it”.
5.10 1.674
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SI16 “I often see issues and choices more clearly while
in higher states of consciousness/awareness”.
4.78 1.829
SI17 “I have often contemplated the relationship
between human beings and the rest of the
universe”.
4.72 1.779
SI18 “I am highly aware of the nonmaterial aspects of
Life”.
4.95 1.797
SI19 I am able to make decisions according to my
purpose in life.
5.07 1.788
SI20 I recognize qualities in people which are more
meaningful than their body, personality, or emotions.
4.88 1.771
SI21 I have deeply contemplated whether or not there
is some greater power or force (e.g., god,
goddess, divine being, higher energy, etc.).
4.69 1.955
SI22 Recognizing the nonmaterial aspects of life helps
me feel centred.
4.80 1.818
SI23 “I am able to find meaning and purpose in my
everyday experiences”.
5.10 1.761
SI24 “I have developed my own techniques for entering
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higher states of consciousness or awareness”.
5.05 1.820
Emotional
Exhaustion
3.77 2.110
EE1 I feel emotionally drained from my work 3.83 2.107
EE2 I feel used up at the end of the workday 3.85 2.027
EE3 I feel fatigued when I get up in the morning and
have to face another day on the job
3.99 2.038
EE4 Working with people all day is really a strain for
me
3.50 2.107
EE5 I feel like giving up on my job 3.66 2.260
Job Performance 5.97 1.370
JP1 I adhere to the official regulations and
administrative principles
5.84 1.558
JP2 I feel responsible for the task I have undertaken
and I am in charge of its consequences
5.93 1.378
JP3 I do my job with proper care and concern and I 6.01 1.346
try to perform it with an optimal quality
JP4 I pursue the task I have undertaken so that the
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results are gotten and the confidence is gained
6.02 1.270
JP5 I am very strict with my job, value it greatly and
resolve its problems
5.88 1.417
JP6 I interact with clients and applicants respectfully
and try to solve their problems
5.93 1.414
JP7 In case of emergency or humanitarian assistance,
I reveal devotion and self –sacrifice
5.91 1.375
JP8 I make an attempt to improve my professional
knowledge
6.13 1.203
JP9 I accept my mistakes 6.07 1.302
JP10 I try to keep the secrets of my job 5.96 1.489
JP11 I try to transfer my professional information to
others
5.69 1.577
JP12 I avoid wasting time and taking unnecessary
measures
6.01 1.299
JP13 I look after my job equipment and use them
economically.
6.22 1.234
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