EFFECT OF PROJECT SCHEDULE PLANNING PROCESS ON IMPLEMENTATION OF AGRICULTURE PROJECTS IN TUK COOPERATIVE: A CASE OF TWONGERE UMUSARURO WA KAWA COOPERATIVE IN KAYONZA DISTRICT.

Abstract

This study investigates the effect of project schedule planning on the implementation of agriculture projects within the Twongerumusaruro wa Kawa (TUK) Cooperative in Kayonza District. Effective schedule planning, including the identification of project milestones, task duration estimation, and the use of appropriate tools and techniques, is crucial for the success of agricultural projects. The study draws on complexity theory, theory of constraints to offer a robust framework encompassing essential methodologies, tools, and processes for effective project management. Employing a descriptive survey design integrating qualitative and quantitative approaches, the study engaged in literature reviews, key informant interviews, and surveys among 150 stakeholders in Kayonza District's TUK cooperative. With a calculated sample size of 75 using Slovin's formula, the study employed a mix of random and selective sampling methods, including stratified random and purposive sampling techniques. Both primary data from questionnaires and interviews, and secondary data from academic papers, official publications, and ministry reports informed the research. Data analysis, facilitated by SPSS version 25, focused on descriptive statistics such as frequencies, percentages, means, and standard deviations. Reliability analysis of the variables shows high internal consistency, with Cronbach's Alpha values of 0.847 for the schedule planning process and 0.806 for project implementation. A significant proportion of respondents, 52.8%, strongly agreed that the project schedule is effectively communicated to all team members, with a high mean score of 4.24 and a standard deviation of 1.041, indicating that most team members are well informed about the schedule. Similarly, 50.0% of respondents strongly agreed that adequate time is allocated for critical phases, with a mean of 4.26 and a standard deviation of 0.979. Additionally, 61.1% strongly agreed that delays in schedule planning are promptly addressed, reflecting proactive management with a mean of 4.26 and a standard deviation of 1.151. Input from all stakeholders was also highly rated, with 63.9% in strong agreement and a mean of 4.40, indicating the inclusiveness of the planning process. Regular updates to the schedule, the clear tracking of progress, and the consideration of risks were also well rated, with mean scores above 4.25. The findings indicate that an effective schedule planning process plays a critical role in the successful implementation of agricultural projects. Key factors such as clear communication, timely updates, and stakeholder involvement significantly contribute to project outcomes, including timeline adherence and quality completion. It is recommended that cooperatives adopt more inclusive scheduling practices that engage all stakeholders early in the process to ensure feasibility. Additionally, leveraging digital tools for real-time updates and progress tracking can further enhance project execution. Future research could explore the impact of emerging technologies, such as AI-driven project management tools, on improving schedule adherence.