A bibliometric analysis on HRM in the Age of Artificial Intelligence: Emerging Trends and Challenges

The examination spans a broad spectrum of data, encompassing insights on the most prominent authors and influential institutions, as well as the focal themes that have garnered significant attention within this domain. It serves as a tool for pinpointing areas where knowledge gaps persist and where further research is necessitated. Furthermore, it furnishes practical insights of value to HR professionals, organizations, policymakers, and researchers, thereby contributing to a comprehensive comprehension of the opportunities and challenges inherent in the sphere of HRM in the Age of Artificial Intelligence. Although a relatively novel concept, this study encapsulates a snapshot of the current landscape of E-HRM. Notable findings encompass the year 2020 emerging as the most prolific in terms of publications, with 2022 garnering the highest citation count (606). Among the most prolific authors, Cooke F.C. has published 68 articles stand out with ten publications and an impressive 431,459 citations. Furthermore, in 2022, Twente University in the United States of America published a staggering 7,000 articles, while China closely followed with nearly 6,000 articles. This data suggests that these two nations are at the forefront of technological advancements. The Advanced Series in Management emerges as the most influential source with a total of 28 publications. Our analysis reveals a surge in research interest and publications related to AI’s impact on HRM over the past decade. We highlight the prominent role played by AI in recruitment, talent management, and employee engagement. Additionally, we identify the growing importance of ethical and legal considerations in deploying AI-driven HR solutions. Challenges surrounding the ethical use of AI, data privacy, and the potential for algorithmic bias are discussed as significant concerns. Moreover, the study highlights the importance of HR professionals cultivating a comprehensive grasp of AI technologies and their incorporation into HRM procedures. As organizations increasingly adopt AI-driven HRM solutions, this bibliometric analysis provides a roadmap for researchers and practitioners, offering insights into the key areas of concern and opportunities for future research. The findings underscore the critical importance of a balanced approach that harnesses the potential of AI, while addressing ethical, legal, and human-centric issues to ensure the effective and responsible use of AI in HRM.