HUMAN RESOURCE ANALYTICS AND PERFORMANCE OF NON-GOVERNMENTFAL ORGANIZATIONS IN NAIROBI COUNTY, KENYA

Abstract

Human Resource Analytics (HRA) has become an important tool for enhancing workforce management through data-driven decision-making. Despite the critical role played by Non-Governmental Organizations (NGOs) in Kenya's socio-economic development, many continue to experience challenges related to employee productivity, engagement, and workforce effectiveness. This study examined the influence of human resource analytics on employee performance among Non-Governmental Organizations in Nairobi City County, Kenya, with specific focus on work efficiency analytics and training analytics. The study was anchored on Goal-Setting Theory and Human Capital Theory and adopted a descriptive research design. The target population comprised 1,143 Human Resource Managers from NGOs operating in Nairobi City County, from which a sample of 296 respondents was selected using simple random sampling. Primary data were collected using structured questionnaires and analyzed using SPSS Version 28. Descriptive statistics were used to summarize the data, while correlation and multiple regression analyses were employed to test the study hypotheses. The findings revealed that human resource analytics had a positive and statistically significant influence on employee performance. Specifically, work efficiency analytics and training analytics were found to significantly enhance employee performance, with work efficiency analytics emerging as the strongest predictor. The study further established that the explanatory variables jointly accounted for 70.9% of the variation in employee performance (R² = 0.709). The study concludes that the adoption of analytics-driven approaches in performance monitoring, employee development, and workforce management significantly improves employee performance within NGOs. The study recommends increased investment in performance analytics systems, data-driven training evaluation, workforce planning frameworks, and continuous employee feedback mechanisms to enhance organizational effectiveness and sustainable workforce performance.

Keywords: Human Resource Analytics, Work Efficiency Analytics, Training Analytics, Employee Performance, Non-Governmental Organizations, Nairobi City County, Kenya.