Project Control and Project Performance of Irrigation Projects in Embu County, Kenya

Project performance guarantee optimal utilization of resources, meeting project timelines, and achieving the desired outcomes, especially in irrigation sectors as global demand for food production increases to support a burgeoning population, optimizing water usage and irrigation systems becomes imperative. In various continents like Asia, and America, countries have focused more on maximizing the available resources to unlock the full potential of water resources, enhance crop yields, and mitigate environmental impacts which has realized over 90% project success rate unlike in Embu county, Kenya. As a result, the study thus aimed to determine the effect of project control on project performance within the context of irrigation projects in Embu County, Kenya. To be specific, the research focused to examine the extent to which comprehensive project planning, decision-making processes, risk management, and project monitoring influences the performance of irrigation projects in Embu County, Kenya. Additionally, the study explored existing theories and models such as waterfall model, prospect theory, and theory of constraints in relation predictors variable at hand. The researcher target population include 4 irrigations project namely, Nthawa, Masinga, Kanyuambora irrigation project, and Rupingazi-Weru irrigation water project in Embu County, where the unit of observation comprises of 153 respondents including project management officials, ministry of water and irrigation officials, and community representatives. A semi-structured questionnaire was utilized in this investigation to help in collection of real time data that is free from bias and errors. Once data is collected, a statistical package for social science software in readiness for analysis was included. Quantitative data was analyzed using descriptive statistics which include means, percentages, standard deviations and frequencies, while qualitative data utilized content analysis to identify themes and vital narratives emerging from the data. Further, the degree of impact and relationships between variables of project control (project planning, project monitoring, risk management, decision making) and project performance of irrigation projects in Embu County, Kenya was established using Pearson correlation and regression models after diagnostic tests such as normality and homoscedasticity. The researcher noted after a comprehensive descriptive, Pearson correlation and regression analysis, the result revealed a moderate practice of project planning, monitoring, risk management, and decision making, thus low performance of irrigation projects in Embu County, Kenya. As a result, the study recommends prioritization and investment in robust planning processes. Project team involved in irrigation projects to ensure that comprehensive planning activities are undertaken, including thorough needs assessment, stakeholder engagement, and resource allocation. Establish clear monitoring protocols and responsibilities, as well as leveraging technology where possible to streamline data collection and analysis processes. Regular and timely reporting of project progress and milestones to relevant stakeholders is essential to ensure transparency and accountability. The study also recommends adoption of project management software such as Asana, Trello, and Microsoft Project tools for tracking tasks, milestones, and deadlines. Teams to invest in comprehensive risk assessments at various stages of project implementation to identify potential threats and vulnerabilities. Subsequently, develop and implement a risk mitigation plan to address identified risks effectively. Regular reviews and updates of risk registers are essential to ensure that emerging risks are promptly addressed and managed. Furthermore, fostering a culture of risk awareness and accountability among project teams to enhance risk management practices and ensure resilience in project execution. Ensure that decision-making processes are transparent, participatory, and informed by reliable data and information. Finally, the study recommends project team to establishing clear decision-making frameworks and protocols to streamline decision-making processes and reduce ambiguity.