HUMAN CAPITAL MANAGEMENT PRACTICES AND EMPLOYEE COMMITMENT IN A LEADING TELECOMMUNICATION COMPANY IN NAIROBI COUNTY, KENYA
Abstract: The effectiveness of Human Capital Management (HCM) practices is crucial in fostering employee commitment in telecommunication companies. This study examines the influence of HCM practices on employee commitment in a leading telecommunication company in Nairobi County, Kenya. The research adopts a cross sectional analytical survey design that utilizes both quantitative and qualitative methods to collect and analyze data. A structured questionnaire was administered to the sample of the population distributed across various departments. The findings reveal that HCM practices, including recruitment and selection, performance management and training and development, significantly affect employee commitment, where training and development have a highest impact. The study also employs ANOVA to assess variations in HCM practices, the analysis of variance (ANOVA), verified that the regression model was statistically significant, F (3, 156) = 14.668, p < 0.001. Recommendations include improving professional development programs, providing open performance reviews, and fostering a pleasant work culture to cultivate a motivated and resilient staff. Keywords: Human Capital Management, Employee Commitment, Training and Development, Recruitment and Selection. Title: HUMAN CAPITAL MANAGEMENT PRACTICES AND EMPLOYEE COMMITMENT IN A LEADING TELECOMMUNICATION COMPANY IN NAIROBI COUNTY, KENYA Author: Edith Kemunto Nyaberi, Dr. Rosemarie Wairimu Wanyoike International Journal of Management and Commerce Innovations ISSN 2348-7585 (Online) Vol. 13, Issue 1, April 2025 - September 2025 Page No: 121-128 Research Publish Journals Website: www.researchpublish.com Published Date: 23-June-2025 DOI: https://doi.org/10.5281/zenodo.15720082 Paper Download Link (Source) https://www.researchpublish.com/papers/human-capital-management-practices-and-employee-commitment-in-a-leading-telecommunication-company-in-nairobi-county-kenya
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-23
- DOI
- https://doi.org/10.5281/zenodo.15720082
- Primary Topic
- AI and HR Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00