Bibliometric Analysis of Artificial Intelligence Integration in HRIS for Strategic Upskilling

Abstract

The integration of artificial intelligence (AI) into Human Resource Information Systems (HRIS) has revolutionised workforce management, enabling strategic upskilling and aligning employee capabilities with organisational goals. This study employs a bibliometric analysis to explore the academic landscape of AI integration in HRIS, focusing on its transformative potential in talent acquisition, performance management, and personalised learning. Drawing from a dataset of 535 publications from 2014 to 2024, the analysis highlights key trends, including the growing emphasis on AI-driven training and interdisciplinary research collaborations. Influential authors, institutions, and thematic areas are identified, providing insights into the evolution of this field. Findings reveal that while AI-enabled HRIS enhances operational efficiency and workforce agility, challenges such as ethical considerations, data privacy, and the lack of longitudinal studies persist. This study underscores the need for empirical case studies and cross-disciplinary approaches to address these gaps. By mapping influential research and uncovering emerging themes, this paper contributes to a deeper understanding of AI’s role in HRIS, offering a foundation for advancing both academic inquiry and practical implementation in strategic workforce development.