Authors :
Hassan M. Lyawatwa; Dr. John B. Tlegray
Volume/Issue :
Volume 10 - 2025, Issue 7 - July
Google Scholar :
https://tinyurl.com/3rv6mp6d
Scribd :
https://tinyurl.com/4jvnr2ym
DOI :
https://doi.org/10.38124/ijisrt/25jul533
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Note : Google Scholar may take 30 to 40 days to display the article.
Abstract :
This study investigated the impact of internal control systems on the performance of Local Government Authorities
(LGAs), a case study of Morogoro Municipal Council, Tanzania. This study was guided by the following hypothesis, there
is a positive correlation between the MMC’s control environment and performance, there is a positive correlation between
the MMC’s risk management activities and performance, there is a positive correlation between the MMC’s control
activities and performance, there is a positive correlation between the MMC’s information and communication and
performance, and there is a positive correlation between the MMC’s monitoring activities and performance. The study
employed COSO’s ICS-Integrated Framework, introduced in 1992 and updated in 2013. The study adopted a pragmatism
and mixed research approach. The sample size was 201 participants comprising 193 ordinary staff and 8 Heads of
Departments (HoDs). Whereby, simple randomly and purposive samplings techniques were used to get the representatives.
Questionnaires, interview and document analysis were employed to get the data. Validation of instruments was done by
research experts and Cronbach alpha. The data were analysed quantitatively using descriptive and inferential statistical
techniques while qualitative data were analysed using and thematic analysis. Correlation and regression analyses revealed
strong, positive, and statistically significant relationships between internal control components and organizational
performance, with Information and Communication (r = 0.808) and Monitoring Activities (r = 0.793) showing the highest
correlations. The regression model confirmed these results, explaining 85.1% of performance variance (R = 0.923, R2 =
0.851; F = 214.114, p < 0.001), and identified Monitoring Activities, Risk Management, Control Environment, and
Information and Communication as significant positive predictors. However, Control Activities had a negative and
statistically insignificant effect (β = -0.049, p = 0.272), indicating its limited role when analyzed alongside other control
components. The study recommends that, LGAs should prioritize strengthening key internal control components, especially
Monitoring Activities, Risk Management, and Information and Communication, to enhance overall performance.
Additionally, a review and redesign of Control Activities may be necessary to ensure their relevance and effectiveness within
the broader internal control system.
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This study investigated the impact of internal control systems on the performance of Local Government Authorities
(LGAs), a case study of Morogoro Municipal Council, Tanzania. This study was guided by the following hypothesis, there
is a positive correlation between the MMC’s control environment and performance, there is a positive correlation between
the MMC’s risk management activities and performance, there is a positive correlation between the MMC’s control
activities and performance, there is a positive correlation between the MMC’s information and communication and
performance, and there is a positive correlation between the MMC’s monitoring activities and performance. The study
employed COSO’s ICS-Integrated Framework, introduced in 1992 and updated in 2013. The study adopted a pragmatism
and mixed research approach. The sample size was 201 participants comprising 193 ordinary staff and 8 Heads of
Departments (HoDs). Whereby, simple randomly and purposive samplings techniques were used to get the representatives.
Questionnaires, interview and document analysis were employed to get the data. Validation of instruments was done by
research experts and Cronbach alpha. The data were analysed quantitatively using descriptive and inferential statistical
techniques while qualitative data were analysed using and thematic analysis. Correlation and regression analyses revealed
strong, positive, and statistically significant relationships between internal control components and organizational
performance, with Information and Communication (r = 0.808) and Monitoring Activities (r = 0.793) showing the highest
correlations. The regression model confirmed these results, explaining 85.1% of performance variance (R = 0.923, R2 =
0.851; F = 214.114, p < 0.001), and identified Monitoring Activities, Risk Management, Control Environment, and
Information and Communication as significant positive predictors. However, Control Activities had a negative and
statistically insignificant effect (β = -0.049, p = 0.272), indicating its limited role when analyzed alongside other control
components. The study recommends that, LGAs should prioritize strengthening key internal control components, especially
Monitoring Activities, Risk Management, and Information and Communication, to enhance overall performance.
Additionally, a review and redesign of Control Activities may be necessary to ensure their relevance and effectiveness within
the broader internal control system.