Digitization of Human Resource Functions and Employee Performance in County Governments in Kenya
County Governments were established in Kenya to enable the delivery of services, projects, and resources to the public. The efficiency, quality, and satisfaction of the public are priorities; however, there are some counties that are registering low employee performance despite investment in digitization of human resource functions in the County Governments in Kenya. The study examined the effect of digitization of human resource functions on employee performance. The theoretical framework employed the diffusion of innovation theory. The study adopted cross-sectional and correlational research designs to collect quantitative data for testing hypothesis. From a target population of 470 County Executive Committees, a sample was 216 County Executive Committees was selected using stratified sampling techniques. Primary data were collected using a structured questionnaire. The validity of the instrument was achieved through interrogation by supervisors and experts. Twenty-two County Executive Committees, that were not part of the sample, were used for piloting. From the pilot data, a Cronbach’s alpha coefficient of 0.789 was produced, which was more than the threshold of 0.7, which indicated that the instrument was reliable. Data collected was summarized using descriptive statistics, that is, the mean and standard deviation. The hypothesis was tested using inferential statistics which included simple linear regression. Findings revealed that digitization of human resource functions positively and significantly influenced employee performance (β = 0.340, P < 0.05). This implied that an increase in digitization of human resource functions led to an increase of 28.0% in employee performance. The study concluded that effective digitization of human resource functions had positively impacted employee productivity. The study recommends that County Governments should invest in comprehensive training for employees to embrace digitization of human resource functions.
Publication Details
- Journal
- International Journal of Research and Innovation in Social Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.47772/ijriss.2025.907000321
- Primary Topic
- Computational Physics and Python Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00