What question did this study set out to answer?

This study aims to analyze how project cost management affects the implementation of electrification projects in Kenya.

May 10, 20260 citationsOpen Access

Optimizing Project Cost Management for Improved Implementation of Public Electrification Projects: A Case of Kenya Power Last Mile Connectivity in Nyeri County

TMTimothy Mbuba Murithi MMMorrisson Mutuku

Key Points

This study aims to analyze how project cost management affects the implementation of electrification projects in Kenya.
Descriptive research design was employed with a census of 67 project managers and team members.
Data were collected via structured questionnaires, validated through various testing methods.
Quantitative data were analyzed using descriptive and inferential statistics, including multiple regression analysis.
Project cost estimation significantly influences implementation with β = 0.512, p = 0.004.
Cost budgeting is positively impactful with β = 0.362, p = 0.002.
Cost control shows a positive effect on implementation with β = 0.281, p = 0.003.

Abstract

Abstract: The implementation of the Last Mile Connectivity Project by the Kenya Power and Lighting Company in Nyeri County, Kenya, has encountered significant challenges, including low connection rates, project delays, and cost overruns, thereby limiting its effectiveness in expanding electricity access. This study examined the influence of project cost management on the implementation of these projects, focusing on cost estimation, cost budgeting, and cost control. The study was anchored on planning theory, the triple constraint theory, and scheduling theory, and adopted a descriptive research design. A census approach was used to include all 67 respondents comprising project managers and project team members. Data were collected using structured questionnaires, with validity and reliability confirmed through pilot testing, construct and content validation, and Cronbach’s alpha coefficients. Quantitative data were analyzed using descriptive and inferential statistics, including multiple regression analysis, while qualitative data were analyzed thematically. The findings revealed that project cost estimation (β = 0.512, p = 0.004), cost budgeting (β = 0.362, p = 0.002), and cost control (β = 0.281, p = 0.003) all have a statistically significant positive effect on project implementation. Cost estimation emerged as the strongest predictor, highlighting the importance of accurate forecasting and contingency planning. The study concludes that effective cost management enhances resource allocation, minimizes delays, improves financial accountability, and strengthens stakeholder trust, thereby improving implementation outcomes. The study recommends enhanced stakeholder engagement during planning, adoption of robust cost monitoring systems, integration of risk management frameworks, and comprehensive upfront budgeting to improve project performance. These findings contribute to the understanding of cost management practices in public electrification projects and provide practical insights for improving implementation efficiency. Keywords: Project Cost Management, Project Implementation, Cost Estimation, Last Mile Connectivity, Rural Electrification. Title: Optimizing Project Cost Management for Improved Implementation of Public Electrification Projects: A Case of Kenya Power Last Mile Connectivity in Nyeri County Author: Timothy Mbuba Murithi, Morrisson Mutuku International Journal of Social Science and Humanities Research ISSN 2348-3156 (Print), ISSN 2348-3164 (online) Vol. 14, Issue 2, April 2026 - June 2026 Page No: 132-139 Research Publish Journals Website: www.researchpublish.com Published Date: 06-May-2026 DOI: https://doi.org/10.5281/zenodo.20052686 Paper Download Link (Source) https://www.researchpublish.com/papers/optimizing-project-cost-management-for-improved-implementation-of-public-electrification-projects-a-case-of-kenya-power-last-mile-connectivity-in-nyeri-county

问 AI

Bookmark

View Full Paper