Elevating Public Sector HR: A Comprehensive Exploration of E-HRM Adoption Drivers

Abstract

This comprehensive study explores the intricacies of Electronic Human Resource Management (eHRM) adoption within public sector organizations. Focusing on adoption drivers, e-HRM typologies, and the evolving role of technology, the research uncovers diverse opportunities and challenges faced by government agencies in the digital era. The findings emphasize the potential of e-HRM to enhance both strategic HR functions and operational efficiency. The proposed conceptual model, incorporating organizational, political, legal, social, technological, economic, and environmental perspectives, provides a nuanced understanding of the complexities surrounding e-HRM adoption. By acknowledging the transformative influence of Artificial Intelligence (AI) on HR practices, the study underscores the interconnected nature of HRM effectiveness and organizational outcomes. In conclusion, this research contributes valuable insights for HR practitioners and decision-makers navigating the dynamic landscape of eHRM adoption in the public sector. It emphasizes that while e-HRM holds great potential for improving organizational functions; its effective deployment requires a customized strategy and a deep understanding of the organizational context. The discussion on technologydriven HR transformations is enriched by insights into the impact of AI on HR practices and the relationship between HRM effectiveness and organizational outcomes. This study serves as a foundation for informed decisionmaking, practical implications for HR practitioners, and a significant contribution to the ongoing conversation on the future of HR management in the public domain.