📄 Abstract
This study examined whether technology and staff training predict own-source revenue (OSR) collection in the County Government of Nakuru, Kenya. Guided by Systems Theory and Expectancy Theory, the study used a positivist, cross-sectional explanatory survey design. The population comprised 99 finance and revenue employees at county headquarters and 11 sub-county offices. A sample size of 79 were selected through proportionate stratified random sampling. Regression results showed that technology (β = .354, p < .001) and staff training β = .239, p = .003) remained positive and statistically significant after accounting for stakeholder involvement and compliance and enforcement. The full model explained 85.8% of the variance in perceived OSR collection. The results indicate that digital tools and employee capability are complementary administrative resources, but their value depends on timely reporting, practical user support, integrated controls and the application of acquired skills. The county should therefore link system upgrades to role-specific training, user-support arrangements and performance monitoring rather than treat automation or training as isolated interventions.
🏷️ Keywords
📚 How to Cite:
Hellen Chepngeno, Prof. Fredrick W. S. Ndede, Dr. Vincent Shiundu Mutswenje , EFFECT OF TECHNOLOGY AND STAFF TRAINING ON OWN-SOURCE REVENUE COLLECTION IN NAKURU COUNTY, KENYA , Volume 13 , Issue 8, August 2026, EPRA International Journal of Economics, Business and Management Studies (EBMS) , Pages: 238 - 244 ,