Assessing the Effect of Project Implementation Practices on Project Performance. A Case Study of Kayonza Irrigation and Integrated Watershed Management Project in Kayonza District

Assessing the Effect of Project Implementation Practices on Project Performance. A Case Study of Kayonza Irrigation and Integrated Watershed Management Project in Kayonza District

Sosthene Mardi & Sam Bazimya
University of Kigali
https://orcid.org/0009-0005-4198-2930
Email: chadracksos@gmail.com

Abstract: The general objective of the study is to assess the effect of project implementation practices on performance of Kayonza Irrigation and Integrated Watershed Management Project in Rwanda. The target population was 310 individuals of Kayonza Irrigation and Integrated Watershed Management Project in Kayonza District. To compute the sample size for this research, the Slovin’s formula used as it provides a straightforward method for determining the appropriate sample size. When applied to the provided sample, this formula yields a sample size of 175. The study used simple random sampling and it was effective as a target population in terms of the characteristics. The research relied on questionnaire, documentation technique, and interview technique. The coefficient for resource management practices is 0.504, indicating that a one-unit increase in resource management practices results in a 0.504-unit increase in project performance (β = 0.504, t = 5.818, p = 0.000). The coefficient for risk mitigation practices is 0.141, indicating that a one-unit increase in risk mitigation practices results in a 0.141-unit increase in project performance (β = 0.141, t = 1.725, p = 0.086). The coefficient for project monitoring practices is 0.163, indicating that a one-unit increase in project monitoring practices results in a 0.163-unit increase in project performance (β = 0.163, t = 2.371, p = 0.019). The study recommended that project managerial staff, field officers, local leaders, and consultants collaboratively enhance project performance by strengthening resource management, improving risk identification and establishing robust monitoring frameworks.

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