Rucyahana Andrew – BPN (Rwanda)

Nkundabanzi Pacifique – University of Kigali, Rwanda

Abstract: This literature-based paper examines how African community-based projects continue to face persistent challenges related to resource shortages, inefficient allocation, and weak monitoring systems, which limit their contribution to local development. In recent years, emerging technologies have provided new opportunities for improving resource optimization and strengthening project performance. This study focuses on three practical and widely used technologies: mobile data collectiontools, mobile money and digital payment systems, and artificial intelligence, and analyzes their implications for enhancing efficiency, accountability, and decision-making in community-based initiatives. Mobile data collection tools such as KoboToolbox and ODK enable real-time and accurate field reporting, thereby reducing delays, operational costs, and data errors. Mobile money platforms, including MTN Mobile Money, Airtel Money, and M-Pesa, enhance financial transparency by minimizing cash handling, improving payment tracking, and accelerating fund disbursement to beneficiaries and field staff. Artificial intelligence, though still emerging in grassroots settings, contributes through accessible applications such as chatbots for communication, predictive analytics for planning, and automated monitoring systems that support timely decision-making. The paper argues that these technologies collectively strengthen resource planning, allocation, and utilization, leading to improved project outcomes. It concludes that integrating user-friendly technologies into African community-based projects is both feasible and essential for promoting sustainable development and enhancing technology-informed project management across the continent.

Abstract: In a context of rapidly rising government needs and insufficient revenues to meet investment needs, county governments are increasingly looking for innovative means of outsourcing tax collection. Though county Governments have made some progress in revenue collection, revenue collection is yet to be optimized. This paper sought to examine how outsourcing revenue collection can optimize revenue collection in western Kenya. The study employed a survey research design. The target population consisted of all revenue staff in the 4 identified counties. A census inquiry was used to study all the revenue staff in the selected counties. The sample from counties consisted of 32 staff from Busia, 29 Kakamega, 24 Bungoma, and 25 from Vihiga leading to 112 sampled respondents. Data was collected using a questionnaire after ascertaining its content validity through experts and internal consistency reliability through the Cronbach alpha result. Data were analyzed using descriptive and inferential statistics. The study revealed that a correlation exists within western counties (p<0.000) between outsourcing and optimization of revenue collection in Kenya. This implies that outsourced revenue collection increased collected revenue, therefore, enhancing optimization of revenue collection within the western counties. The study concluded that outsourcing affects the optimization of revenue collection in Western Counties. It is recommended that the revenue collection department of the county government needs to adopt proper contract reforms precisely in the public documents and regulations to stipulate clearly the responsibilities of private revenue collectors outsourced for effective revenue collection for enhanced service delivery in the counties.