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European Journal of Business and Management www.iiste.org
ISSN 2222-1905 (Paper) ISSN 2222-2839 (Online)
Vol.6, No.20, 2014
176
Assessment of the Effect of Paupers’ Suits Expenses undertaken
by the Court as Corporate Social Responsibility on Performance
of Magistrate Courts in Kitui County, Kenya
Mr. Hezron Nyaberi Moibi
1. Masters candidate in Governance and Ethics, Mount Kenya University. Contact: Email:
hezronnyaberi@gmail.com
Mr. Wilfred N. Marangu*
2. PhD Candidate, School of Business and Economics, Mount Kenya University. Contact: Email
wmarangu08@yahoo.com
Dr. Kennedy Mutundu
3. Senior Lecturer, school of Social Sciences, Mount Kenya University. Contact Email: kkmutundu@yahoo.com
Abstract
The main purpose of this study was to assess the Effect of Paupers’ Suits Expenses undertaken by the Court as
Corporate Social Responsibility on Performance of Magistrate Courts in Kitui County. The target population was
all the four magistrate courts in Kitui County. A descriptive correlational survey research design was be adopted
for the study and utilized the key informant method in data collection. Both primary and secondary data were
used in this study. Primary data was collected through the use of key informant method and a self- administered
questionnaire. Secondary data on the other hand, was obtained from the already written literature which used to
cross-validate and check the consistency of the questionnaire responses. The questionnaire was pre-tested on
pilot respondents who did not form part of the study respondents but knowledgeable in the study aspects in order
to ensure their validity and relevance. Cronbach’s alpha coefficient was used to measure the reliability of the
scale and the data collection instruments were administered to all the four magistrate courts in Kitui County.
After the data as collected, the researcher edited them to ensure their completeness and consistency, Coding and
classification then followed to ensure sufficient analysis. The data was then entered and analyzed by simple
descriptive analysis using statistical package for social scientists (SPSS) version twelve to generate cumulative
frequencies and percentages. The data was then analyzed using descriptive and inferential statistics.
Acknowledgement
My utmost appreciation goes to my academic mentors and supervisors, Dr. Mutundu Kennedy and Mr. Wilfred
N. Marangu. Their keen interest in my work and positive critique kept me on my toes in this long and demanding
journey. God bless them all. I am also grateful to the entire Mount Kenya university fraternity for giving me the
opportunity to undertake my studies in the institution; they have truly nurtured me well throughout my academic
journey. I thank the staff of the University Library for providing me with reading materials and vital information.
I wish all of them God’s blessings. Finally, I thank the entire members of my family for their understanding, love
and motivation at the time when the academic work was demanding. Remain blessed. To God alone I give all the
praise.
Key words: Paupers Suit expenses, Corporate Social Responsibility, Performance, Magistrate Courts Kitui
County, Kenya
2. Literature Review
The study was based on the premise that pauper suits undertaken by the court as part of its corporate social
responsibility had a direct effect the performance of magistrate courts. Paupers’ suit is where the people who file
the suits are so poor that they are not able to sustain the proceeding of the suit to full trial hence the courts
facilitate them by meeting the costs on behalf of the paupers. The court takes over all the expenses involving the
suits filed by the paupers in order to facilitate completion of the case. The structural contingency theory explains
the idea that there is no one or single best way to manage organizations but organizations should always
establish managerial strategy owing to the situation and condition the organization is experiencing (Donaldson &
Luo, 2009). According to Donaldson (2001) the environment always poses certain requirements which force the
organization to come up with efficiency and innovation in its operations in order for it to survive and prosper.
According to Cutler (2006) this will ultimately lead the firm’s management to adopt a strategy for the firm which
will somehow reflect the environment and at the same time be part of a managerial statement of the firm’s
objectives given the comparative advantage of the firm and this leads to organizations getting involved in CSR
activities. Donaldson (2006) explains in this theory that when managers make decisions concerning CSR, they
European Journal of Business and Management www.iiste.org
ISSN 2222-1905 (Paper) ISSN 2222-2839 (Online)
Vol.6, No.20, 2014
177
always consider all aspects of the existing situation and take action on those aspects that are crucial to the
circumstances at hand. It is further argued that the managers take whatever management decision, including CSR
decisions, depending on the situation at hand. The theory further presupposes that the best thing to do at a time
depends on the situation. It is noted that management situations are not the same and are not universal, but
should be approached based on the circumstances surrounding it. Donaldson (2001) argues that the adaptive
cycle is called the structural-adaptation-to regain-fit model (SARFIT) which explains that a firm is always
initially in fit, then increases in contingency variable which produces misfit and reduces performance, and then
structure is changed adaptively from misfit to a new fit which restores equilibrium and facilitate CSR
performance. Bird & Beechler (1995) observe that the application of the strategic fit concept helps firms to
manage their resources more efficiently so that they can reduce operational costs as well as respond effectively
to environmental threats and new opportunities via CSR activities. Hence for the magistrate courts to manage
their resources more efficiently and respond to environmental change, they must embrace the strategic fit
concept through employing CSR activities in their operations.
The studies carried out by Oyedijo &Akinlabi (2008) established that CSR influences organizational
performance. The study found out that SMEs corporate financial performance tended to increase with increase in
the level of CSR practices. This means that the higher the overall level of CSR activities by SMEs, the higher the
financial performance of the SMEs in terms of increased relative market share, total deposits and continuing
additions of new products and product lines, amongst others. Therefore, for this study with all the CSR
indicators used, performance will tend to increase significantly as the level of CSR activities increases.
3. Methodology
This study employed descriptive correlational survey research design as it seeks to describe and establish the
relationships among the study variables namely paupers suit expenses and performance. A research design is the
arrangement of conditions for collection, measurement and analysis of data in that aims to combine relevance to
the research purpose Kothari (2010). Descriptive correlational survey design allows the researcher to describe
and evaluate the relationship between the study variables which are associated with the problem. Correlational
survey design also allows a researcher to measure the research variables by asking questions to the respondents
and then examining their relationship (O’Connor, 2011).
3.4 Target Population
All the courts in Kitui County were be studied because this was a census study. There were mainly four
magistrate courts in Kitui County namely; Kitui Law Court, Kyuso Law Court, Muthomo Law Court and
Mwingi Law Court and they serve 151 administrative locations. All the head of Court Stations, executive officer
of every magistrate court as well as customer care officer, chiefs of all locations in Kitui County were selected to
take part in the study as they are perceived to be knowledgeable on the issues under study and for which they are
either responsible for their execution or they personally execute them as shown in the table below.
Table3.1: Respondents of the study
Head of Court stations 4
Executive officers 4
Customer care officer of every magistrate court 4
Chiefs of all the locations in Kitui County 151
Total 163
Author, 2014
3.5 Data Collection Methods and Procedures
Both primary and secondary data were used in this study. Primary data was collected through the use of key
informant method and a self- administered questionnaire. Hence, all the head of Court Stations, executive officer
of every magistrate court as well as customer care officer, chiefs of all locations in Kitui County were selected as
the key informants of the study. The questionnaire had both open and closed ended questions and ‘drop and pick’
technique was used. Primary data was used in this study because the selected respondents are able to evaluate
the study variables. Secondary data on the other hand, was obtained from the already written literature
(documents analysis) which was used to cross-validate and check the consistency of the questionnaire responses.
The researcher synthesized existing knowledge from a comprehensive desk-based literature from valid sources
such as published works, manuals, policy position papers and reports relevant to study topic and the specific
period under investigation.
European Journal of Business and Management www.iiste.org
ISSN 2222-1905 (Paper) ISSN 2222-2839 (Online)
Vol.6, No.20, 2014
178
3.6 Measurement of Study Variables
In this study, the effect of paupers’ suit expenses by the court on performance of magistrate courts in Kitui
County, paupers’ suit expenses by the court was one of the key study variables (Independent Variable) while
performance was another key variable (Dependent variable). According to Kothari (2010), measurement is the
process of mapping aspects of a domain onto other aspect of a range according to some rules of correspondent. It
involves devising some form of scale in range and then mapping the properties of the object to be measured on
this scale. The study variables were measured using both the ordinal scale and summated scale (likert-type scale)
because these scales not only have more informational value but they come handy with respondent centered
studies.
3.7 Validity of Research Instruments
Both the questionnaire and the measurement process was guided by the conceptual framework in order to
measure the key elements of Paupers’ suit and performance to ensure construct validity because they reflect the
key components of the study variables. According to Kombo and Tromp (2006), validity is the accuracy and
meaningfulness of inferences, which are based on research results and it is the measure of how well a data
collection instrument measures what it is supposed to. The questionnaire was pre-tested on pilot respondents
who did not be part of the study respondents but knowledgeable in the study aspects in order to ensure their
validity and relevance. All the aspects of the questionnaire was pre-tested including the question content,
wording, form and layout. The feedback obtained was used in revising the questionnaire before it is administered
to the study respondents.
3.8 Reliability of Research Instruments
Reliability is the extent to which an instrument is predictable, stable, accurate and dependable to yield the same
results every time it is administered. Reliability refers to the measure of the degree to which a research
instrument yields consistent results on across time and across the various items of the instrument (Sekaran, 2003).
Cronbach’s alpha coefficient was used to measure the reliability of the scale, which was also used to assess the
interval consistency among the research instrument items.
3.9 Ethical Considerations
The study was conducted with integrity and was not undertaken for personal gain. The research did not have any
negative effect on the respondents. The researcher acknowledged authors of the literature. The researcher did
not abuse the trust of the subjects by using the data collected to get somebody into trouble or to stigmatize them.
Confidentiality and privacy was guaranteed and the consent of the respondents was sought before revealing any
information.
3.10 Proposed Data Analysis Techniques and Procedures
The data collection instruments were administered to all the four magistrate courts and all the administrative
locations in Kitui County. After the data has been collected, the researcher edited them to ensure their
completeness and consistency, Coding and classification then followed to ensure sufficient analysis. The data
was then be entered and analyzed by simple descriptive analysis using statistical package for social scientists
(SPSS) version twenty one to generate cumulative frequencies and percentages. The software package was
chosen because it is the most used package for analyzing survey data. Besides being the most used package, the
software has the advantage of being user friendly (Mugenda, 2003). It is also easily used to analyze multi-
response questions, cross section and time series analysis and cross tabulation; (relate two sets of variables) and
it can also be used alongside Microsoft Excel and Word packages. Descriptive statistics were used to deduce any
patterns, averages and dispersions in the variables. They include measure of locations (mean) and measure of
dispersions (standard error mean). These measures were used to describe the characteristics of the collected data.
Inferential statistics were used to determine the relationship between the study variables and these inferential
statistics include correlation and regression analysis. The relationship between paupers suit expenses and
performance was expected to follow a regression model of the nature P=α+β1PS+ε
Where;
P= Performance of the magistrate courts
α ═ Intercept term
β1 = (Beta coefficient) an estimate of the expected increase performance
corresponding to an increase in use of paupers suits.
PS= Paupers’ suits expenses by the court
ε = Error term
European Journal of Business and Management www.iiste.org
ISSN 2222-1905 (Paper) ISSN 2222-2839 (Online)
Vol.6, No.20, 2014
179
Table 3.2 Hypothesis testing framework
Hypothesis Hypothesis test Statistical model
H01 Pauper suits expenses by
the court do not have
significant effect on
performance of magistrate
courts in Kitui County.
Karl Pearson’s zero order
coefficient of correlation
(Beta test)
H0: β = 0
HA: β ≠ 0
Reject H01 if p-value ≤
0.05, otherwise fail to
reject H01)
P = α + β1PS + ε
Where,
P = the aggregate mean score of performance.
α = y-intercept/ constant.
Β1 = Regression Coe-efficient (beta)
PS = Aggregate mean score of paupers suit
expenses by the court
ε = Error term- random variation due to other
unmeasured factors.
Source: Author, 2014
4.0 Results
From the Table 4.1, the regression results reveal that paupers suit expenses had overall significant positive
relationship with the performance of magistrate courts in Kitui County (β = 0.464, p-value = 0.004). The
regression results also shows that 26.4 percent of the magistrate courts’ performance can be explained by
paupers suits expenses (R square = 0.264). The hypothesis test criterion was that the null hypothesis H01 should
be rejected if p-value < 0.05 otherwise fail to reject if the p-value > 0.05. From the above regression results p –
value = 0.004, the study therefore rejects the null hypothesis and concludes that there’s significant relationship
between paupers’ suit expenses by the court and performance of magistrate courts. From the research results in
Table 4.1, a simple regression equation that may be used to estimate the magistrate courts performance in Kitui
County given its existing level of paupers suit expenses is stated as follows;
P =2.681+ 0.442PSE+ ε
Where:
2.681 is the y-intercept constant,
P is the Performance
0.442 is the beta or the slope coefficient,
PSE is Paupers suit expenses by the court
ε is the error term- random variation due to other unmeasured factors.
European Journal of Business and Management www.iiste.org
ISSN 2222-1905 (Paper) ISSN 2222-2839 (Online)
Vol.6, No.20, 2014
180
Table 4.1 Regresion Results of Paupers Suit Expenses by Courts against Performance
Goodness Fit Analysis
Dependent Variable: Performance
Overall significance, ANOVA (F-test)
Sum of Squares Degree of Freedom Mean Square F Sign. p-value
Regression 0.248 1 0.408 1.0716 0.004
Residual 1.086 16 0.342
Total 1.334 17
Predictors: (Constant), Paupers’ Suit Expenses.
Individual significance (T-test)
Unstandardized Coefficients Standardized Coefficients
T Sign. p-valueB Std. Error Beta (β)
(Constant) 2.681 1.01 1.098 1.688
Paupers’ suit
expenses
0.542 0.451 0.464 0.08 0.042
• Lever of significance, α = 0.05
Sample size R R-
squared Adjusted R2
Estimate std error
18
0.464 0.264 0.104 0.736
Source: Research data, 2014
5.0 Conclusion
The study was based on the premise that paupers’ suit expenses by the court influences performance of the
magistrate courts. The study results supported this premise in that paupers’ suit expenses was found to
significantly and positively influence performance with twenty six point four percent of the performance of
magistrate courts being explained by paupers suit expenses. Paupers’ suit expenses by the court has been found
by this study to have a statistically significant positive effect on performance of magistrate courts in Kitui
County hence there is need for the magistrate courts to employ CSR in form of paupers suit expenses being
shouldered by the court to improve on their performance.
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181
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Assessment of the effect of paupers’ suits expenses undertaken

  • 1. European Journal of Business and Management www.iiste.org ISSN 2222-1905 (Paper) ISSN 2222-2839 (Online) Vol.6, No.20, 2014 176 Assessment of the Effect of Paupers’ Suits Expenses undertaken by the Court as Corporate Social Responsibility on Performance of Magistrate Courts in Kitui County, Kenya Mr. Hezron Nyaberi Moibi 1. Masters candidate in Governance and Ethics, Mount Kenya University. Contact: Email: hezronnyaberi@gmail.com Mr. Wilfred N. Marangu* 2. PhD Candidate, School of Business and Economics, Mount Kenya University. Contact: Email wmarangu08@yahoo.com Dr. Kennedy Mutundu 3. Senior Lecturer, school of Social Sciences, Mount Kenya University. Contact Email: kkmutundu@yahoo.com Abstract The main purpose of this study was to assess the Effect of Paupers’ Suits Expenses undertaken by the Court as Corporate Social Responsibility on Performance of Magistrate Courts in Kitui County. The target population was all the four magistrate courts in Kitui County. A descriptive correlational survey research design was be adopted for the study and utilized the key informant method in data collection. Both primary and secondary data were used in this study. Primary data was collected through the use of key informant method and a self- administered questionnaire. Secondary data on the other hand, was obtained from the already written literature which used to cross-validate and check the consistency of the questionnaire responses. The questionnaire was pre-tested on pilot respondents who did not form part of the study respondents but knowledgeable in the study aspects in order to ensure their validity and relevance. Cronbach’s alpha coefficient was used to measure the reliability of the scale and the data collection instruments were administered to all the four magistrate courts in Kitui County. After the data as collected, the researcher edited them to ensure their completeness and consistency, Coding and classification then followed to ensure sufficient analysis. The data was then entered and analyzed by simple descriptive analysis using statistical package for social scientists (SPSS) version twelve to generate cumulative frequencies and percentages. The data was then analyzed using descriptive and inferential statistics. Acknowledgement My utmost appreciation goes to my academic mentors and supervisors, Dr. Mutundu Kennedy and Mr. Wilfred N. Marangu. Their keen interest in my work and positive critique kept me on my toes in this long and demanding journey. God bless them all. I am also grateful to the entire Mount Kenya university fraternity for giving me the opportunity to undertake my studies in the institution; they have truly nurtured me well throughout my academic journey. I thank the staff of the University Library for providing me with reading materials and vital information. I wish all of them God’s blessings. Finally, I thank the entire members of my family for their understanding, love and motivation at the time when the academic work was demanding. Remain blessed. To God alone I give all the praise. Key words: Paupers Suit expenses, Corporate Social Responsibility, Performance, Magistrate Courts Kitui County, Kenya 2. Literature Review The study was based on the premise that pauper suits undertaken by the court as part of its corporate social responsibility had a direct effect the performance of magistrate courts. Paupers’ suit is where the people who file the suits are so poor that they are not able to sustain the proceeding of the suit to full trial hence the courts facilitate them by meeting the costs on behalf of the paupers. The court takes over all the expenses involving the suits filed by the paupers in order to facilitate completion of the case. The structural contingency theory explains the idea that there is no one or single best way to manage organizations but organizations should always establish managerial strategy owing to the situation and condition the organization is experiencing (Donaldson & Luo, 2009). According to Donaldson (2001) the environment always poses certain requirements which force the organization to come up with efficiency and innovation in its operations in order for it to survive and prosper. According to Cutler (2006) this will ultimately lead the firm’s management to adopt a strategy for the firm which will somehow reflect the environment and at the same time be part of a managerial statement of the firm’s objectives given the comparative advantage of the firm and this leads to organizations getting involved in CSR activities. Donaldson (2006) explains in this theory that when managers make decisions concerning CSR, they
  • 2. European Journal of Business and Management www.iiste.org ISSN 2222-1905 (Paper) ISSN 2222-2839 (Online) Vol.6, No.20, 2014 177 always consider all aspects of the existing situation and take action on those aspects that are crucial to the circumstances at hand. It is further argued that the managers take whatever management decision, including CSR decisions, depending on the situation at hand. The theory further presupposes that the best thing to do at a time depends on the situation. It is noted that management situations are not the same and are not universal, but should be approached based on the circumstances surrounding it. Donaldson (2001) argues that the adaptive cycle is called the structural-adaptation-to regain-fit model (SARFIT) which explains that a firm is always initially in fit, then increases in contingency variable which produces misfit and reduces performance, and then structure is changed adaptively from misfit to a new fit which restores equilibrium and facilitate CSR performance. Bird & Beechler (1995) observe that the application of the strategic fit concept helps firms to manage their resources more efficiently so that they can reduce operational costs as well as respond effectively to environmental threats and new opportunities via CSR activities. Hence for the magistrate courts to manage their resources more efficiently and respond to environmental change, they must embrace the strategic fit concept through employing CSR activities in their operations. The studies carried out by Oyedijo &Akinlabi (2008) established that CSR influences organizational performance. The study found out that SMEs corporate financial performance tended to increase with increase in the level of CSR practices. This means that the higher the overall level of CSR activities by SMEs, the higher the financial performance of the SMEs in terms of increased relative market share, total deposits and continuing additions of new products and product lines, amongst others. Therefore, for this study with all the CSR indicators used, performance will tend to increase significantly as the level of CSR activities increases. 3. Methodology This study employed descriptive correlational survey research design as it seeks to describe and establish the relationships among the study variables namely paupers suit expenses and performance. A research design is the arrangement of conditions for collection, measurement and analysis of data in that aims to combine relevance to the research purpose Kothari (2010). Descriptive correlational survey design allows the researcher to describe and evaluate the relationship between the study variables which are associated with the problem. Correlational survey design also allows a researcher to measure the research variables by asking questions to the respondents and then examining their relationship (O’Connor, 2011). 3.4 Target Population All the courts in Kitui County were be studied because this was a census study. There were mainly four magistrate courts in Kitui County namely; Kitui Law Court, Kyuso Law Court, Muthomo Law Court and Mwingi Law Court and they serve 151 administrative locations. All the head of Court Stations, executive officer of every magistrate court as well as customer care officer, chiefs of all locations in Kitui County were selected to take part in the study as they are perceived to be knowledgeable on the issues under study and for which they are either responsible for their execution or they personally execute them as shown in the table below. Table3.1: Respondents of the study Head of Court stations 4 Executive officers 4 Customer care officer of every magistrate court 4 Chiefs of all the locations in Kitui County 151 Total 163 Author, 2014 3.5 Data Collection Methods and Procedures Both primary and secondary data were used in this study. Primary data was collected through the use of key informant method and a self- administered questionnaire. Hence, all the head of Court Stations, executive officer of every magistrate court as well as customer care officer, chiefs of all locations in Kitui County were selected as the key informants of the study. The questionnaire had both open and closed ended questions and ‘drop and pick’ technique was used. Primary data was used in this study because the selected respondents are able to evaluate the study variables. Secondary data on the other hand, was obtained from the already written literature (documents analysis) which was used to cross-validate and check the consistency of the questionnaire responses. The researcher synthesized existing knowledge from a comprehensive desk-based literature from valid sources such as published works, manuals, policy position papers and reports relevant to study topic and the specific period under investigation.
  • 3. European Journal of Business and Management www.iiste.org ISSN 2222-1905 (Paper) ISSN 2222-2839 (Online) Vol.6, No.20, 2014 178 3.6 Measurement of Study Variables In this study, the effect of paupers’ suit expenses by the court on performance of magistrate courts in Kitui County, paupers’ suit expenses by the court was one of the key study variables (Independent Variable) while performance was another key variable (Dependent variable). According to Kothari (2010), measurement is the process of mapping aspects of a domain onto other aspect of a range according to some rules of correspondent. It involves devising some form of scale in range and then mapping the properties of the object to be measured on this scale. The study variables were measured using both the ordinal scale and summated scale (likert-type scale) because these scales not only have more informational value but they come handy with respondent centered studies. 3.7 Validity of Research Instruments Both the questionnaire and the measurement process was guided by the conceptual framework in order to measure the key elements of Paupers’ suit and performance to ensure construct validity because they reflect the key components of the study variables. According to Kombo and Tromp (2006), validity is the accuracy and meaningfulness of inferences, which are based on research results and it is the measure of how well a data collection instrument measures what it is supposed to. The questionnaire was pre-tested on pilot respondents who did not be part of the study respondents but knowledgeable in the study aspects in order to ensure their validity and relevance. All the aspects of the questionnaire was pre-tested including the question content, wording, form and layout. The feedback obtained was used in revising the questionnaire before it is administered to the study respondents. 3.8 Reliability of Research Instruments Reliability is the extent to which an instrument is predictable, stable, accurate and dependable to yield the same results every time it is administered. Reliability refers to the measure of the degree to which a research instrument yields consistent results on across time and across the various items of the instrument (Sekaran, 2003). Cronbach’s alpha coefficient was used to measure the reliability of the scale, which was also used to assess the interval consistency among the research instrument items. 3.9 Ethical Considerations The study was conducted with integrity and was not undertaken for personal gain. The research did not have any negative effect on the respondents. The researcher acknowledged authors of the literature. The researcher did not abuse the trust of the subjects by using the data collected to get somebody into trouble or to stigmatize them. Confidentiality and privacy was guaranteed and the consent of the respondents was sought before revealing any information. 3.10 Proposed Data Analysis Techniques and Procedures The data collection instruments were administered to all the four magistrate courts and all the administrative locations in Kitui County. After the data has been collected, the researcher edited them to ensure their completeness and consistency, Coding and classification then followed to ensure sufficient analysis. The data was then be entered and analyzed by simple descriptive analysis using statistical package for social scientists (SPSS) version twenty one to generate cumulative frequencies and percentages. The software package was chosen because it is the most used package for analyzing survey data. Besides being the most used package, the software has the advantage of being user friendly (Mugenda, 2003). It is also easily used to analyze multi- response questions, cross section and time series analysis and cross tabulation; (relate two sets of variables) and it can also be used alongside Microsoft Excel and Word packages. Descriptive statistics were used to deduce any patterns, averages and dispersions in the variables. They include measure of locations (mean) and measure of dispersions (standard error mean). These measures were used to describe the characteristics of the collected data. Inferential statistics were used to determine the relationship between the study variables and these inferential statistics include correlation and regression analysis. The relationship between paupers suit expenses and performance was expected to follow a regression model of the nature P=α+β1PS+ε Where; P= Performance of the magistrate courts α ═ Intercept term β1 = (Beta coefficient) an estimate of the expected increase performance corresponding to an increase in use of paupers suits. PS= Paupers’ suits expenses by the court ε = Error term
  • 4. European Journal of Business and Management www.iiste.org ISSN 2222-1905 (Paper) ISSN 2222-2839 (Online) Vol.6, No.20, 2014 179 Table 3.2 Hypothesis testing framework Hypothesis Hypothesis test Statistical model H01 Pauper suits expenses by the court do not have significant effect on performance of magistrate courts in Kitui County. Karl Pearson’s zero order coefficient of correlation (Beta test) H0: β = 0 HA: β ≠ 0 Reject H01 if p-value ≤ 0.05, otherwise fail to reject H01) P = α + β1PS + ε Where, P = the aggregate mean score of performance. α = y-intercept/ constant. Β1 = Regression Coe-efficient (beta) PS = Aggregate mean score of paupers suit expenses by the court ε = Error term- random variation due to other unmeasured factors. Source: Author, 2014 4.0 Results From the Table 4.1, the regression results reveal that paupers suit expenses had overall significant positive relationship with the performance of magistrate courts in Kitui County (β = 0.464, p-value = 0.004). The regression results also shows that 26.4 percent of the magistrate courts’ performance can be explained by paupers suits expenses (R square = 0.264). The hypothesis test criterion was that the null hypothesis H01 should be rejected if p-value < 0.05 otherwise fail to reject if the p-value > 0.05. From the above regression results p – value = 0.004, the study therefore rejects the null hypothesis and concludes that there’s significant relationship between paupers’ suit expenses by the court and performance of magistrate courts. From the research results in Table 4.1, a simple regression equation that may be used to estimate the magistrate courts performance in Kitui County given its existing level of paupers suit expenses is stated as follows; P =2.681+ 0.442PSE+ ε Where: 2.681 is the y-intercept constant, P is the Performance 0.442 is the beta or the slope coefficient, PSE is Paupers suit expenses by the court ε is the error term- random variation due to other unmeasured factors.
  • 5. European Journal of Business and Management www.iiste.org ISSN 2222-1905 (Paper) ISSN 2222-2839 (Online) Vol.6, No.20, 2014 180 Table 4.1 Regresion Results of Paupers Suit Expenses by Courts against Performance Goodness Fit Analysis Dependent Variable: Performance Overall significance, ANOVA (F-test) Sum of Squares Degree of Freedom Mean Square F Sign. p-value Regression 0.248 1 0.408 1.0716 0.004 Residual 1.086 16 0.342 Total 1.334 17 Predictors: (Constant), Paupers’ Suit Expenses. Individual significance (T-test) Unstandardized Coefficients Standardized Coefficients T Sign. p-valueB Std. Error Beta (β) (Constant) 2.681 1.01 1.098 1.688 Paupers’ suit expenses 0.542 0.451 0.464 0.08 0.042 • Lever of significance, α = 0.05 Sample size R R- squared Adjusted R2 Estimate std error 18 0.464 0.264 0.104 0.736 Source: Research data, 2014 5.0 Conclusion The study was based on the premise that paupers’ suit expenses by the court influences performance of the magistrate courts. The study results supported this premise in that paupers’ suit expenses was found to significantly and positively influence performance with twenty six point four percent of the performance of magistrate courts being explained by paupers suit expenses. Paupers’ suit expenses by the court has been found by this study to have a statistically significant positive effect on performance of magistrate courts in Kitui County hence there is need for the magistrate courts to employ CSR in form of paupers suit expenses being shouldered by the court to improve on their performance. REFERENCES Armstrong, M. (2004). Human Resource Management. London Kogan Bass, B.M.(1997). Concepts of Leadership. Vecchio R.P Boli, J. & Hartsuiker, D. (2001). World Culture and Transnational Corporations: Sketch of a Project. Paper presented at the International conference on Effects of the Responses to Globalization. Istanbul. Carroll, A. B. (1999). Corporate social responsibility: Evolution of a definitional construct. Business & Society. 38(3), 268-295. Carroll, A. B. (2000). Commentary and an Overview of key Questions on Corporate Social Performance Measurement. Business Society, 39(4), 466-478. Chunia, M., Iroye S., Mordi, T., Ojo, S. Kombo, D.K & Tromp, D.L. A. (2000). Proposal Writing and Theses Proposal: An Introduction Pauline's Publications, Nairobi. Kothari, C. (2012). Research Methodology: Methods and Techniques. New Age International Publishers: New Delhi.3rd edition. Lydenberg, S.D. (2005). Corporations and the public Interest: Guiding the invisible Hand. San Francisco, C.A: Berret-koehler.
  • 6. European Journal of Business and Management www.iiste.org ISSN 2222-1905 (Paper) ISSN 2222-2839 (Online) Vol.6, No.20, 2014 181 Maimunah, I. (2009). Corporate Social Responsibility and its role in community Development: An International Perspective. The Journal of International Social Research, 2(9). Moeti, K.B. (2000). Evaluating Project and Programs in the South African Public Sector. Journal of Public Administration. Mugenda, A. G. & Mugenda, O.M. (2003). Research methods: Quantitative and Qualitative Approaches, International journal of Education and Development using ICT. Neely, A., Gregory, M. and Plats', K. (1995). Performance Measurement System design and Literature review and research agenda. Int. Journal of production management Vol 15 Nejati, M. & Amran, A. (2009.). Corporate Social Responsibility and SMEs: exploratory study on motivations from a Malaysian Perspective. Journal of Business Strategy Series, 10(5), 259-265. O’Connon, T. (2011), “Survey Research Design” Mega links in criminal justice, (http;//www.drtomoconnor.com/3760/3760lect04.htm) Sekaran, V. (2003). Research Methods for Business: A skill Building Approach (4th ed). New Jersey: John Wiley & sons. Suza, N. (2005). Corporate Social Responsibility in Malaysia. UNIDO (2002). Corporate Social Responsibility. Implications for small and medium Enterprises in Developing countries. Vienna, October. Waddock, S.A. & Graves, S.B. (1997). The Corporate Social Performance-Financial Performance link, Strategic Management Journal 18(4), 303-319.
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