By Washingtone OG; Adoyo P;
Mule RK (2021).
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Greener Journal of Economics and Accountancy Vol. 9(1), pp. 26-34, 2021 ISSN: 2354-2357 Copyright ©2021, the copyright of this article is
retained by the author(s) |
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Effect
of internal controls on the financial performance of deposit taking SACCOs in
Kenya.
*Oduor George Washingtone;
Philip Adoyo; Robert Kisavi
Mule
Maseno
University.
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ARTICLE INFO |
ABSTRACT |
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Article No.: 121321154 Type: Research |
The study sought
to establish the effect of internal controls on the financial performance of
SACCOs in western Kenya. The study was anchored on Economic Value Added and
Agency theories. Primary and secondary data was collected and analyzed using correlational research design. Purposive
sampling was used to select 120 respondents from a target population of 40
Deposit Taking SACCO’s top management registered by SASRA. The study employed
a Census survey technique with a response rate at 93%. Pre-validated questionnaires
had a reliability alpha α = 0.903 internal controls and α = 0.873
financial performance internal consistency. Results revealed |
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Accepted: 20/12/2021 Published: |
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*Corresponding Author Oduor
George Washingtone E-mail: sirgeorge200@
yahoo.com |
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Keywords: |
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INTRODUCTION
Internal control is a system established by
the management to safeguard the assets of the company and ensure reliable
financial reporting. It encompasses the policies, processes and other aspects
of the organization adopted by the management to ensure efficient conduct of
its business and to provide reliable financial information. Kenneman
(2004) considers internal controls as systems and processes established by the
management to prevent and detect errors and frauds within the organization with
an aim of safeguarding the assets of the firm. Njeri
(2014) acknowledges that an effective internal control plays a fundamental role
of helping an organization to prevent fraud, errors and minimize wastage. The effectiveness of internal controls can be guaranteed when
controls are built into the organization’s infrastructure hence becoming part
of the very essence of the organization.
The management therefore needs to put in place specific procedures such
as segregation of duties, accounting controls and competent staff in order to
help in achieving the shareholders’ wealth maximization goals. Jansen
(2005) argues that reliance on the financial reporting can be enhanced by
establishing both internal and external control systems within the
organization.
Internal control environment determines the
tone of the organization as set by the board of directors and management
through policies, behavior and effective governance (Rotenberg et al., 2005).
Weak control environment will lead to lax controls hence fraudulent financial
reporting. There is therefore a need to put in place and effective control
activities to prevent and detect errors and frauds. The management must ensure
effective control activities which includes authorization, performance review,
physical controls and segregation of duties. Control activities can be either
preventive or detective and encompasses such activities as authorization and
approvals, verifications and business performance review (COSO, 2011). Internal controls can either be preventive or
detective controls. Preventive controls attempt to prevent errors and frauds
from entering the system and include segregation of duties, proper
authorization and physical controls. Detective controls deter errors and frauds
that have not been prevented. They include reviews, analyses, reconciliation,
physical inventories and audits (Lawrence, 2000). Both types of controls are
essential for effective internal controls. While preventive controls prevent
the error from entering the system, detective controls provide an evidence that
detective controls are effective and preventing the losses (Chen, 2004). Sound
internal controls therefore help an organization to prevent errors and frauds
and ensure quality of financial reporting.
Several SACCOs in Kenya have witnessed loss
of huge investments through fraud and misappropriation of assets and this has
been attributed to ineffective internal controls. The inadequate internal
controls have also promoted incidences such as corruption and collusion of
management and external auditors (SASRA, 2012) and this has hindered most
SACCOs from achieving their goals. Against this background, this study sought
to answer the question: what is the effect of internal control on financial
performance of SACCOs.
Theory
guiding the Study
Anchored on Economic
value added (EVA), a metric for financial performance of the firm as a measure
of evaluating the performance of a firm is concerned with the residual wealth
which is calculated by deducting the cost of capital from the operating profit,
adjusted for taxes on a cash basis (Stewart, 1991). The adoption of EVA within
SACCOs ensures that the management aims at maximizing returns on members’
deposits while mitigating any associated risk of loss. Therefore the use of EVA
in the context of SACCOs will promote transparency and accountability in
operation and ensure the achievement of SACCO wealth maximization goals. EVA
being an integrated financial system is not only useful in decision making but
is key in corporate applications such as performance
measurement, determination of shareholder value, valuation of equity (Hatfield,
2002).
Empirical Literature
Mwakimasinde (2014)
examined the effect of internal control systems on the performance of sugar out
growers’ companies in Kenya. The study findings showed that there is a positive
and significant effect of internal control systems on financial performance.
This was in line with the findings of Kinyua et al.
(2015) who sought to establish the effect of internal control (control
environment) on the financial performance of companies quoted in the Nairobi
Securities Exchange. Study by Muraleetheran (2011) on
the internal control and its impact of financial performance of the
organization in Jaffna District in India found that internal controls have an
impact on financial performance.
Ejoh and Ejom (2014) conducted a study on the impact of internal
control (control activities) on financial performance of tertiary institutions
in Nigeria. The study found that there is no significant relationship between
internal control activities and financial performance. Kakucha
(2009) carried out a study to evaluate the level of effectiveness of internal
controls operating in Nairobi. The study adopted quantitative approach and used
a sample of 30 small businesses as listed in the National Social Security Fund
(NSSF) Register of Kenya. The study established that there is a negative
correlation between the resources held by an enterprise and its internal
control weaknesses. The study also established a weak negative relationship
between the internal control weaknesses and financial performance.
A study by Lerno
(2016) sought to establish the impact of internal control practices on
performance in County governments in Kenya. The study targeted the county
administrators in the forty-seven (47) counties in Kenya. Questionnaires was
used to obtain Primary data and the findings showed that the respondents were
not sure whether the adoption of internal control practices has led to the
increase of County’s asset base overtime. The respondents were neither sure if
adoption of internal control practices has led to the adequacy of the levies
collected by county to cover the cost of running the courses. The study
therefore concluded that the County Governments in Kenya have adopted internal
control practices but the adoption of such practices has not fully led to
improvement of performance in county government
Duh, Chen, Lin, & Kuo
(2014) carried out a study to investigate the relationship between internal
control implementation and operating efficiency of universities. Using data
from questionnaire survey and from the field, the study measured internal
control implementation and applied data envelopment analysis to estimate
operating efficiency of 99 universities in Taiwan. The results indicated that
internal control implementation has a positive but insignificant association
with overall efficiency as well as teaching-related efficiency. However, it has
a negative and significant association with research-related efficiency.
Muraleetheran (2011)
conducted a research on the internal control and its impact of financial
performance of the organization in Jaffna District, India. In this study,
internal control was measured in terms of control environment, risk assessment
and control activities while financial performance was measured by
profitability, efficiency and liquidity. Data was collected using a
questionnaire, observation and personal interviews. Data was collected from 181
respondents. The variables of the study were measured by chi – square and
regression analysis. A chi – square test was used and value of 161.1 (p = 0) at
0.05 significant level indicates that there is a relationship between internal
control and financial performance. Multiple regression analysis was carried out
to establish the impact of the independent variable on dependent variable. The
value of 0.818
revealed that internal control has an impact on financial performance.
Al-Thuneibat et
al., (2015) conducted a research on the impact of internal control requirements
on profitability of Saudi shareholding companies. Questionnaires were used to
collect primary data to test the companies’ compliance with internal control
requirements and to measure profitability of the companies. Secondary data was
collected from financial statements. Multiple regressions and t-test were used
to analyze data and test the hypotheses. The study revealed that the degree of
compliance with all components of internal control was very high. The alpha
coefficient for the items measuring control environment, risk assessment, control
procedures, control activities and monitoring were all close to 0.85. This
signifies a strong internal consistency and reliability. The t-test values
ranged between 37.29 to 56.6 and all significance values were less than 0.05
which indicated that the degree of compliance with all internal control
components were statistically significant.
Ewa and Udoayang (2012) carried out a study to establish the impact
of internal control design on banks’ ability to investigate staff fraud and
staff lifestyle and fraud detection in Nigeria. Data were collected from 13
Nigerian banks using a Four Point Likert Scale
questionnaire and analyzed using percentages and ratios. The study found that
internal control design influences staff attitude towards fraud such that a strong
internal control mechanism is deterrence to staff fraud while a weak one
exposes the system to fraud and creates opportunity for staff to commit fraud.
In addition, most Nigerian banks do not pay serious attention to the lifestyle
of their staff members and that most staff members are of the view that
effective and efficient internal control design could detect employee fraud
schemes in the banking sector. The study concluded that effective and efficient
internal control system is necessary to stem the malaise in the banking sector.
The study therefore recommended that banks in Nigeria should upgrade their
internal control designs and pay serious attention to the lifestyle of their
staff members as this could be a red flag to identifying frauds.
Mawanda (2008)
conducted a research on the effects of internal control systems on financial
performance in institution of higher learning Uganda. In his study, he
investigated and sought to establish the relationship between internal control
systems and financial performance in an institution of higher learning in
Uganda. Internal controls were examined from the perspective of control
environment, internal audit and control activities whereas financial
performance focused on liquidity, accountability and reporting as the measures
of financial performance. The researcher set out to establish the causes of
persistent poor financial performance from the perspective of internal
controls. The research was conducted using both quantitative and qualitative
approaches using survey, correlation and case study. Data was collected using
questionnaire and interview guide. The study established a significant
relationship between internal control system and financial performance. The
study specifically showed that control environment is positively related to
liquidity with r = 0.294 and a standard error, p <0.01.
Lemi (2015)
carried out a cross sectional survey to assess the effectiveness of internal
control systems in the public universities in Ethiopia and identify the possible
areas of deficiencies in the internal control system. Data was analyzed using
descriptive statistics and showed that internal controls in the public
universities in Ethiopia were not effective.
Seble (2018)
carried out a survey to assess the perception on internal control systems on
financial performance of commercial banks in Ethiopia. The study adopted
multiple regression models to test the relationship between internal controls
and financial performance. The study findings showed that internal control
systems had a significant relationship with financial performance. The findings
also suggested that internal control systems especially corporate governance
and control activity are important areas that management of commercial banks
should give attention to improve financial performance of commercial banks in
Ethiopia.
Ejoh and Ejom (2014) did a study to establish the relationship
between internal control activities and financial performance in Tertiary
Institutions in Nigeria. The study was carried out at Cross River College of
Education. The study employed survey design while stratified sampling procedure
was adopted to administer questionnaires targeting at the top management staff
of the College. Correlation design was adopted to assess the relationship
between internal audit function and financial performance. The findings of
their study revealed no significant relationship between internal control
activities and financial performance.
Kinyua et al.,
(2015) carried a research on the effects of internal control environment of the
financial performance of companies quoted in the Nairobi Securities Exchange.
Internal control system was measured in terms of control environment, internal
audit function, risk management control, internal control activities, corporate
governance control while financial performance was measured in terms of net
profit, return on equity and earnings per share. A Structured questionnaire was
used to collect data from 144 respondents. The study adopted descriptive
research design using both quantitative and qualitative analysis. Multiple
regression models were used to test whether internal control environment,
internal audit function, risk management, internal control activity and
corporate governance have any influence on financial performance. The study
findings revealed that internal control system is a positive significant
predictor of financial performance. The findings of the study revealed that
internal control system has a significant relationship with financial performance
(
= 0.944). the
Pearson correlation results indicated that risk management was leading with the
highest influence on financial performance at 0.55 followed by corporate
governance at 0.554, internal control activity at 0.457, internal control
environment at 0.420 and internal audit function at 0.341.
Oyoo (2014)
conducted a study to evaluate the effect of internal control on financial
performance of micro-finance institutions (MFI) in Kisumu central constituency,
Kenya. The internal control was considered from the perspective of control
environment, control activities and information and technology whereas
financial performance focused on liquidity. The study adopted the descriptive
and correlation research design and data was collected from 7 institutions from
a population of 18 MFIs. Questionnaires were used to collect primary data and
the data was analyzed by using correlation analysis. The study finding revealed
that there was a positive relationship between internal control and financial
performance of MFIs at a Pearson correlation coefficient of r = 0.0447; p
=0.007. This showed that internal
control affects financial performance of MFIs by 44.7%.
Gathoni (2013)
conducted a study on the factors that affect sustainability of micro-credit
groups in Kalama Ward- Machakos County in Kenya.
Primary data was collected mainly using questionnaires. Out of the 2287 clients
in Machakos region which comprises 183 active groups
and 40 inactive groups, 330 clients from Kalama Ward and 12 staff were
considered and applied stratified random sampling applied leading to a sample
of 52 respondents. This study concluded and recommended that policy and
internal control are the foundations of strong groups and form the basis of
partnership with service providers. Well-articulated constitution and credit
policy facilitate client appraisal and set the basis of vetting criteria when
evaluating prospective loan applicants.
Mwachiro (2013)
established that internal controls played an important role in ensuring revenue
collection were done effectively. The research was conducted using both
qualitative and quantitative approaches. Questionnaires were used on a
population of 38 respondents to gather primary data for the study. The data
collected was then analyzed and findings revealed that the five components of
control environment, risk assessment, control activities, information and
communication and monitoring must be available in order for internal controls
to work. The study established that weak internal controls have encouraged
collusion to fraud, loss of revenue and embezzlement of collected revenue. The
study therefore concludes that internal controls usually function although with
hiccups and that there is a significant effect between internal controls and
revenue collection in KRA. The internal auditors are expected to provide
recommendations for improvement in those areas where opportunities or
deficiencies are identified.
Olumbe (2012)
conducted a descriptive survey research on Commercial banks in Kenya. The study
sought to establish the relationship between internal controls and corporate
governance in commercial banks in Kenya. The study adopted census survey on 45
commercial banks in Kenya with target population being senior management in
charge of internal control. The study concluded that most of the banks had
incorporated the various parameters that are used to gauge internal controls
and corporate governance. This was indicated by the means that were obtained
enquiring on the same and this showed that the respondents agreed that their
banks had instituted good corporate governance with a strong system of internal
controls and that there is a relationship between internal control and
corporate governance.
Mbaka, Kiragu and Kamau (2018)
researched on the effects of internal control systems on financial performance
of SACCOs in Nyeri Central sub-county, Kenya. The
study targeted 26 operating SACCOs in Nyeri Central
Sub-County. The study adopted cross-sectional survey research design and data
was collected using questionnaires. Multiple regression analysis was used to
analyze the Effects of internal controls on the financial performance of SACCOs
in Nyeri central sub-county. The study finding
indicated that internal control environment, risk assessment control and
activity control had a positive and statistically significant effect on
financial performance of SACCOs
In their
study (Nyakundi, Nyamita
and Tinega, (2014) sought to examine the effect of
internal control systems on the financial performance of Small and Medium Scale
Enterprises in Kisumu City. The research was conducted using both quantitative
and qualitative approaches; adapting cross-sectional survey research design.
The study used both primary and secondary data and collected data was analyzed
using descriptive as well as inferential statistics. The findings of this study
indicated a positive and significant association internal control systems
financial performance of Small and Medium scale Enterprises.
Kakucha (2009)
carried out a study to evaluate the level of effectiveness of internal controls
operating in Nairobi. The study adopted quantitative approach and used a sample
of 30 small businesses as listed in the National Social Security Fund (NSSF)
Register of Kenya. The study established that there is a negative correlation
between the resources held by an enterprise and its internal control
weaknesses. The study also established a weak negative relationship between the
internal control weaknesses and financial performance.
Reviewed literature
has shown that prior studies on the effect of internal controls and financial
performance have produced inconclusive results.
Mawanda (2008); Nyakundi,
Nyamita and Tinega, (2014);
conducted studies on the effect of internal controls and financial performance,
and revealed a significant and positive results. This was in contradiction to
the findings of Duh, Chen, Lin, & Kuo (2014); Kakucha (2009) who established a negative relationship
between the internal control and financial performance. Despite the fact that
internal controls play a fundamental role in the SACCOs management, there is
lack of empirical studies on the effect of internal controls and financial
performance. Reviewed literature has focused on banks and institutions of
higher learning. However, no attention has been given to SACCOs in Kenya. Hence
this study sought to fill this gap by investigating the effect of internal
controls on the financial performance of DT- SACCOs in Kenya.
The forgoing
reviews of the literature that have focused on internal controls and financial
performance have produced inconclusive results. A review of prior studies
conducted show that most studies tend to focus on the evaluation of the various
aspects of internal controls and how they relate to financial reporting,
performance reporting and external auditors’ work with little focus on
financial performance. However, there is paucity of studies conducted on
internal controls and its effect on financial performance of SACCOs in Kenya.
The studies reviewed focused on the three elements of the internal control
systems namely control environment, control activity and internal audit.
However, the studies failed to show the contribution of monitoring activity, risk
management and corporate governance in the financial performance of
organization. Hence this study sought to fill this gap by establishing the
effect of internal controls on the financial performance of DT- SACCOs in
Kenya.
METHODOLOGY
The study adopted
the correlation research design. Quantitative approach was used since audit
committee characteristics and internal controls can be quantified (Fabozzi, Focardi, & Ma,
2005). The research was carried out in Western Kenya and focused particularly
on the Deposit Taking SACCOs (DT-SACCOs) registered by SASRA. The
population of this study comprised 40 deposit taking SACCOs in western Kenya.
For the purposes of this study, the unit of analysis was 120 senior managers
comprising the chief executive officers, finance managers and internal auditors
from each of the 40 DT-SACCOs in Western Kenya. Primary data was collected from
the three (3) Senior Managers of each DT-SACCO in Western Kenya. The study
targeted Senior Managers since they are well conversant with operations of the
SACCO and are well versed with information concerning the performance of audit
committee.
The study
employed census on all the forty (40) Deposit taking SACCOs in Western Kenya. A
sample of the three (3) Senior managers comprising the chief executive
officers, Finance managers and Internal auditors from every Deposit taking
SACCOs in Western Kenya was selected to be the respondents. The
data collected was analyzed, with respect to the study objectives, using
inferential statistics. Pearson’s
correlation coefficient was used to measure the strength and direction of the
relationship between the dependent and independent variables.
The study adopted a multiple linear regression to analyze the
relationship between the effects of internal control on financial performance
of SACCOs in Western Kenya. The following model was adopted in the study:
= β0 + β1X1
+ β 2X2 + β3X3 +β4X4
+ β5X5 + e………. (i)
Where:
= Coefficient
of a single financial performance indicator (Capital adequacy,
Asset quality, earnings ratings and Liquidity
ratings)
β0 = Coefficient
estimate of intercept
X1 = Control
environment
X2 = Control
activities
X3 = Risk
assessment
X4 = Monitoring
activities
X5 = Information
technology
β1
– β5 = Measure of sensitivity of variable x to changes in y
e = Error term/
residual factor not explained by the X variable analyzed.
Source: adapted from Aiken and west (1991)
FINDINGS
The data was collected from 40 SACCOs
registered and licensed by SASRA and with headquarters in Western Kenya. The
target population was 120 Senior Managers, out of whom 10% were used for
piloting. From this total, responses
were received from 100 respondents translating into 93% response rate. The response
was considered appropriate since Bailey (2000) asserts that any response above
70% is classified as very good. This is also in line with Mugenda
& Mugenda (2003) that observes that any response
rate above 70% is rated as very good.
|
|
Min. |
Max. |
Mean |
Std. Deviation |
Skewness |
Kurtosis |
|
Statistic |
Statistic |
Statistic |
Statistic |
Statistic |
Statistic |
|
|
Financial Performance |
1 |
5 |
3.59 |
0.911 |
-0.150 |
-0.365 |
|
Control environment |
2 |
5 |
3.61 |
0.650 |
-0.082 |
-0.132 |
|
Monitoring activities |
3 |
5 |
4.04 |
0.710 |
-0.057 |
-0.983 |
|
Risk assessment |
2 |
5 |
3.89 |
0.601 |
-0.240 |
0.533 |
|
Information technology |
1 |
5 |
3.17 |
1.120 |
0.097 |
-0.796 |
|
Control activities |
2 |
5 |
3.52 |
0.822 |
0.102 |
-0.497 |
Source: Research data
From Table 1above, the minimum, the maximum,
the standard deviation, the skewness and kurtosis results were depicted. The
table indicated that the minimum and the maximum statistics for financial
performance was 1 and 5 with a mean of 3.59 and a standard deviation of 0.911.
However, going by the level of skewness, the financial performance variable was
normal since the value of the skew rotated around 0. The kurtosis value indicated
that the variable was leptokurtic (had a thin tail) i.e. less than 3, a
standard for kurtosis normality.
On control environment, the minimum value was
2 and the maximum value was 5 with a standard deviation of 0.650 given the
value of the skew and the kurtosis, the conclusion was that the variable was
normally distributed although with a thin tail. Monitoring activities had a
minimum of 3 and a maximum of 5. The standard deviation was 0.710 and the
skewness value indicated a normal distribution although with a thin tail. Risk
assessment had a minimum of 2 and a maximum of 5 with a mean of 3.89 and a
standard deviation of 0.601. Equally, it was normally distributed with a thin
tail. Information technology also had a minimum of 1 and a maximum of 5 with a
mean of 3.17 and a standard deviation of 1.120 the distribution was normal
albeit with a thin tail. Control activities also had a minimum of 2 and a
maximum of 5 with a mean of 3.52 and a standard deviation of 0.822 the
distribution was also normal with a thin tail.
The first objective of this study was to
establish the effect of internal controls on financial performance of DT-SACCOs
in Kenya. To achieve this, the obtained scores of the five categories of the
financial performance were correlated with internal controls using bivariate
correlations, specifically, Pearson Product moment correlation. Table 2 indicates
the findings between the five subscales of performance and the independent
variable (Internal controls).
|
|
Variables |
Financial performance |
Controls environment |
Control activities |
Monitoring activities |
Risk assessment |
Information technology |
|
1 |
Financial performance |
1 |
.546** |
.530** |
.526 |
.452** |
.653** |
|
2 |
Control environment |
|
1 |
.383** |
.363** |
.277 |
.536** |
|
3 |
Control activities |
|
|
1 |
.258** |
.403** |
.484 |
|
4 |
Monitoring activities |
|
|
|
1 |
.318** |
.373** |
|
5 |
Risk assessment |
|
|
|
|
1 |
.313** |
|
6 |
Information technology |
|
|
|
|
|
1 |
**. Correlation is significant at the 0.01
level (2-tailed).
Source: Survey (2020)
From Table 2, the results indicate that there
is a strong positive and significant association between financial performance
and control environment (r =.546, p <.05). Financial performance and control
activities revealed a strong positive correlation (r = .530, p<.05), as was
the case with financial performance and monitoring activities (r = .526, p<
.05), and financial performance and information technology (r = .653, p <
.05). With regards to the level of association between financial performance
and risk assessment, there was a significant yet a weak association (r = .452,
p < .05). The study finding imply that financial performance was positively
correlated with every aspect of internal control. Therefore, the more the
SACCOs put in place effective internal controls the better the financial
performance. The relationship between technology and financial performance was
stronger than others. This implied that the financial performance of the SACCOs
is heavily dependent on the adoption of effective information technology.
The study
sought to examine the relationship between internal controls and financial
performance. Regression analysis was therefore conducted to ascertain the
magnitude of the effect the correlation between the two variables accounted
for. The summary model findings are presented in Table 3 below using
coefficient results.
|
Model |
R |
R Square |
Adjusted R Square |
Std. Error of the Estimate |
Change Statistics |
Durbin-Watson |
|||||
|
R Square Change |
F Change |
df1 |
df2 |
Sig. F Change |
|||||||
|
1 |
.777a |
.603 |
.582 |
.589 |
.603 |
28.580 |
5 |
94a |
.000 |
1.807 |
|
|
a. Predictors: (Constant), information
technology, risk assessment, monitoring activities, control activities,
control environment |
|
||||||||||
|
Source: research data |
|
||||||||||
Regression analysis was conducted to
empirically determine whether internal controls was a
significant determinant of financial performance. The findings in Table 4.19
above indicate that there is a positive significant multiple correlation
between internal controls and financial performance (R = .777). It is also clear from the model that internal
controls explained 60.3% of the total responses to financial performance (
=
.603, p
= .000). The
study shows that Internal controls through its dimensions explains 58.2% of
variation in Financial performance (adjusted
= .582). Given that the
F-statistics was 28.580 and was significant at 0.000, there was an overall
goodness of fit implying that the results from this study can be replicated
elsewhere. The Durbin – Watson statistics also gravitated towards 2 meaning
that there was no problem of autocorrelation within the study variables. It can thus be concluded from the findings that internal
controls explain a bigger percentage of financial performance of SACCOs in
Kenya. It is therefore necessary to establish an efficient and effective
internal controls system within the SACCOs.
|
Model |
Unstandardized Coefficients |
Standardized Coefficients |
T |
Sig. |
||
|
B |
Std. Error |
Beta |
||||
|
|
(Constant) |
-.972 |
.496 |
|
-1.958 |
.053 |
|
Control environment |
.231 |
.112 |
.165 |
2.069 |
.041 |
|
|
Control activities |
.198 |
.087 |
.179 |
2.271 |
.025 |
|
|
Monitoring activities |
.315 |
.094 |
.245 |
3.353 |
.001 |
|
|
Risk assessment |
.226 |
.111 |
.149 |
2.032 |
.045 |
|
|
Information technology |
.277 |
.068 |
.340 |
4.041 |
.000 |
|
The established regression equation was
FP =
-0.972+ 0.231X1 + 0.198X2 + 0.315X3 +0.226X4
+ 0.277X5……..……………….(i)
From Table 4 above, the results indicate that
in the absence of the internal control constructs, performance would
deteriorate by -0.972. However, this outcome is not significant. With regards
to the control environment, a unit increase on it, results into a significant
increase in financial performance by 0.231 (p = 0.041 < 0.05). A unit
increase in control activities leads to a significant increase in financial
performance by 0.198 (p = 0.025 < 0.05). A unit increase in monitoring
activities leads to a significant increase in financial performance by 0.315 (p
= 0.001 < 0.05). A unit increase in risk assessment leads to a significant
increase in financial performance by 0.226 (p = 0.045 < 0.05). A unit
increase in information technology leads to a significant increase in financial
performance by 0.277 (p = 0.000 < 0.05).
The findings of this
study show that keeping all factors constant, an increase of control
environment leads to 0.231 increase in the SACCOs’ financial performance. This
is supported by Mawanda (2008) who evaluated the
effect of internal control systems on financial performance of institutions of
higher learning in Uganda. Data was analyzed using regression model and the
result of analysis exhibited a positive relationship between internal controls
(control environment) and financial performance. The study findings revealed
that an increase in control activities will lead to 0.198 increase
in the SACCOs’ financial performance. This finding also support the study by Muraleetheran (2012) who examined the internal controls and
its impact on financial performance of organizations in Jaffna District, India.
The study concluded that internal controls has an
impact on financial performance. On monitoring activities, the study
established that an increase in monitoring activities leads to 0.315 increase
in financial performance of SACCOs. The findings confirm the argument of Mwachiro (2013) that for internal controls to work
effectively, monitoring activities must be available and that weak monitoring
activities encourage collusion to fraud, loss of revenue and embezzlement of
funds.
The study
findings also established that holding other factors constant, an increase in
risk assessment leads to 0.226 increase in financial performance. This finding
is in line with Mbaka et al. (2018) who found that
control environment, risk assessment have a positive and statistical
significant effect on financial performance of SACCOs. These findings are also
in line with Nyakundi, Nyamita
and Tinega (2014) that internal controls have a
positive and significant association with financial performance. The findings
therefore suggest that the management of DT-SACCOs should pay more attention to
the SACCO’s internal controls functions such as control environment, control
activities, risk assessment, monitoring activities and information technology
in order to improve the financial performance of the DT- SACCOs in Kenya.
SUMMARY
OF FINDINGS
The study
objective sought to examine the relationship between internal controls and
financial performance of Deposit taking SACCOs in Western Kenya. Analysis
revealed that internal controls have a high effect on financial performance of
Deposit taking SACCOs in Western Kenya. The findings therefore suggest that
internal controls aspect such as control environment, control activities, risk
assessment, monitoring activities and information technology are significant
aspects of an effective internal control system hence
the management of DT-SACCO’s should give more attention to internal controls in
order to improve the financial performance of DT - SACCOs.
From the study
hypothesis: there was no significant relationship between internal controls and
financial performance of deposit taking SACCOs in Western Kenya. The study
findings revealed that there was a strong positive relationship between
internal controls and financial performance. Internal controls is strongly
related to financial performance and therefore the establishment of effective
internal controls increases the financial performance of SACCOs in Western
Kenya. It is further concluded that effective internal controls must include
control environment, control activities. Monitoring activities, risk assessment
and information technology to enhance financial performance.
The study
concluded that effective internal controls must include control environment,
control activities. Monitoring activities, risk assessment and information
technology to enhance financial performance. This will help in promoting
efficiency of SACCO operations by reducing risks relating to asset loss and
reliability of financial statements and compliance with laws and regulations.
The management therefor should focus on the aspects of internal controls that
could result into improved financial performance
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Cite this Article: Washingtone OG; Adoyo P; Mule RK (2021). Effect of internal controls on
the financial performance of deposit taking SACCOs in Kenya. Greener Journal
of Economics and Accountancy, 9(1):26-34, |