Factors Influencing Performance of Monitoring and Evaluation Systems in Public Institutions: A Case of Dodoma City Council.

Kassim, Ramadhan Mbaruk (2025) Factors Influencing Performance of Monitoring and Evaluation Systems in Public Institutions: A Case of Dodoma City Council. Masters thesis, The Open University of Tanzania.

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Abstract

This study aimed to examine factors influencing the performance of monitoring and evaluation systems in public institutions with a special focus on Dodoma City Council. Specifically, the study examined the influence of data, M&E information utilization and stakeholders’ participation on the performance of the M&E systems. Grounded on the theory of change, the study followed a positivist philosophy with a quantitative approach and a descriptive research design. The target population was 316 Dodoma City Council employees, selected through simple random sampling. Data collection involved questionnaires and documentary reviews. Data analysis used SPSS for descriptive statistics and inferential statistics. The study found that accurate data significantly improves the effectiveness of M&E systems and complete data enhances M&E performance. Findings indicated that M&E information significantly supports decision-making, and improve program performance. The study also revealed that stakeholder involvement greatly enhances the relevance of M&E systems; regular consultations significantly improve M&E effectiveness hence stakeholders actively engage in M&E planning. The study found strong positive correlations between M&E systems performance and data quality (0.745) and information utilization (0.716). Stakeholder participation had a moderate correlation (0.476). The study recommends that Dodoma City Council improve data quality through staff training, validation protocols, and reliable data sources. It also suggests enhancing M&E information utilization by systematically sharing findings and engaging stakeholders in planning and evaluation. Future research should explore how emerging technologies, like mobile data collection and cloud-based platforms, can further enhance data quality and M&E utilization. Keywords: Performance of Monitoring and Evaluation Systems, Public Institutions, Data Quality, Evaluation Information Utilization, Stakeholders’ Participation

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