A Model for Capacity Building in Fraud Examination Practices Across Zimbabwean Local Government Authorities

Abstract: This study investigates fraud examination capacity building in Zimbabwean local government authorities through a mixed-methods research approach addressing critical governance challenges where inadequate fraud prevention capabilities contribute to significant financial losses and undermined public trust. Using stratified random sampling, the study examined 20 local government authorities across Zimbabwe’s ten provinces, collecting data from 312 respondents including municipal managers, finance officers, internal auditors, and elected officials during April 2025. Quantitative analysis reveals alarming capacity deficits: only 20% of municipalities maintain dedicated fraud examination units, while 78% lack structured fraud prevention frameworks. Human resource assessment indicates that merely 28.5% of personnel have received specialized fraud examination training. Technology analysis demonstrates that 80% of municipalities rely on manual processes without digital fraud detection capabilities. The study quantifies substantial financial impacts, with municipalities experiencing estimated annual fraud losses averaging $485,000, representing 17.8% of budgets. Qualitative findings through 36 interviews and 6 focus groups reveal critical themes: political interference, resource constraints, skills gaps, technology barriers, limited inter-municipal collaboration, and weak community engagement. Statistical analysis establishes staff training as the strongest predictor of fraud examination effectiveness (β = 0.312, p < 0.001). The study proposes an integrated four-component capacity building model: institutional framework development with standardized policies; human resource enhancement through tiered training programs; technological infrastructure improvement featuring digital systems; and stakeholder engagement mechanisms promoting collaboration between officials, civil society, and citizens. Provincial analysis reveals geographic disparities, with urban councils demonstrating superior capacity compared to rural municipalities. The research contributes empirical evidence to public sector fraud prevention literature and provides actionable frameworks for practitioners, policymakers, and development partners seeking to strengthen municipal governance in developing economies.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-29
DOI
https://doi.org/10.5281/zenodo.16738123
Primary Topic
Corruption and Economic Development
Type
article
Field-Weighted Citation Impact
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article

A Model for Capacity Building in Fraud Examination Practices Across Zimbabwean Local Government Authorities

Zenodo (CERN European Organization for Nuclear Research)
Corruption and Economic Development
article

A Model for Capacity Building in Fraud Examination Practices Across Zimbabwean Local Government Authorities

article en

Abstract

Abstract: This study investigates fraud examination capacity building in Zimbabwean local government authorities through a mixed-methods research approach addressing critical governance challenges where inadequate fraud prevention capabilities contribute to significant financial losses and undermined public trust. Using stratified random sampling, the study examined 20 local government authorities across Zimbabwe’s ten provinces, collecting data from 312 respondents including municipal managers, finance officers, internal auditors, and elected officials during April 2025. Quantitative analysis reveals alarming capacity deficits: only 20% of municipalities maintain dedicated fraud examination units, while 78% lack structured fraud prevention frameworks. Human resource assessment indicates that merely 28.5% of personnel have received specialized fraud examination training. Technology analysis demonstrates that 80% of municipalities rely on manual processes without digital fraud detection capabilities. The study quantifies substantial financial impacts, with municipalities experiencing estimated annual fraud losses averaging $485,000, representing 17.8% of budgets. Qualitative findings through 36 interviews and 6 focus groups reveal critical themes: political interference, resource constraints, skills gaps, technology barriers, limited inter-municipal collaboration, and weak community engagement. Statistical analysis establishes staff training as the strongest predictor of fraud examination effectiveness (β = 0.312, p < 0.001). The study proposes an integrated four-component capacity building model: institutional framework development with standardized policies; human resource enhancement through tiered training programs; technological infrastructure improvement featuring digital systems; and stakeholder engagement mechanisms promoting collaboration between officials, civil society, and citizens. Provincial analysis reveals geographic disparities, with urban councils demonstrating superior capacity compared to rural municipalities. The research contributes empirical evidence to public sector fraud prevention literature and provides actionable frameworks for practitioners, policymakers, and development partners seeking to strengthen municipal governance in developing economies.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 48%
Corruption and Economic Development
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A Model for Capacity Building in Fraud Examination Practices Across Zimbabwean Local Government Authorities · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS