Thesis:

Monitoring and evaluation system and project performance: A case of the Nanyuki oils limited tea tree production In Laikipia east, Kenya

Monitoring and Evaluation system in Tea Tree production projects are important to ensure targets are met objectively and for the sustainability of climate change resilient farming. In spite of the presence of M&E systems in agricultural projects, most organizations face challenges in performance, such as transparency, resource optimization, stakeholder satisfaction and project sustainability. The current research aimed to ascertain the influence of monitoring and evaluation system on the performance of Nanyuki Oils Limited Tea Tree production project in Laikipia Kenya. Specific objectives were to establish the effect of tools and technologies, M&E planning, M&E control and feedback mechanisms on performance of the project under investigation. The study was pivoted on the theory of change and communicative action theory. It utilized mixed research methods. The population under study was 731 individuals including farmers, project managers, M&E personnel, extension officers and senior leadership. The pilot study involved 25 respondents. A sample of 258 respondents was chosen. Data collection instruments were questionnaire and interview schedules. Data was analyzed using inferential and descriptive statistics, including multiple linear regression and coding of nodes. Reliability coefficient was computed using Cronbach’s alpha method and the value obtained was 0.812. Findings implied that all the four M&E system elements had a meaningful positive correlation with the performance of Nanyuki Oils Limited tea tree production project. M&E planning showed the strongest correlation (r=0.859, p=0.000) followed by feedback mechanisms (r=0.833, p=0.000). M&E control also had a positive correlation (r=0.825, p=0.000) while tools and technologies had a correlation of (r=0.793, p=0.000). Regression analysis confirmed these correlations with M&E planning and feedback mechanism having the greatest effect on performance, while tools and technologies showed an insignificant effect. Based on these findings, it was suggested that organizations perform thorough baseline survey to feed into evaluation design and to validate relevance of indicators chosen during M&E planning. Monitoring and control processes should be strengthened through self-tracking activities and adaptive management. Feedback mechanisms should be reinforced and integrated into decision making processes, to ensure stakeholder input directly inform project implementation and adaptation. Theoretically, the research findings demonstrated support on how M&E enhances causal understanding of what components of the system works and why. Finally, M&E tools need to be upgraded to digital platforms for improved efficiency and accuracy. The insights gained from the research was relevant to policy creators to mandate stronger M&E frameworks by designing guidelines that promote the success and resilience of projects in the agricultural sector, ultimately benefiting the poverty alleviation landscape. The research findings laid a foundation for future studies aimed at identifying and implementing effective M&E strategies tailored to projects in the agricultural sector.