An interdisciplinary review of AI and HRM: Challenges and future directions

• Published in: Human resource management review Vol. 33; no. 1; p. 100924
• Main Authors: Pan, Yuan, Froese, Fabian J.
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.03.2023
• Subjects: Artificial intelligence (AI); Human resource management (HRM); Method; Systematic review; Theory; Systematic review; Human resource management (HRM); Method; Artificial intelligence (AI); Theory
• ISSN: 1053-4822; 1873-7889
• DOI: 10.1016/j.hrmr.2022.100924

Artificial intelligence (AI) has the potential to change the future of human resource management (HRM). Scholars from different disciplines have contributed to the field of AI in HRM but with rather insufficient cross-fertilization, thus leading to a fragmented body of knowledge. In response, we conducted a systematic, interdisciplinary review of 184 articles to provide a comprehensive overview. We grouped prior research into four categories based on discipline: management and economics, computer science, engineering and operations, and others. The findings reveal that studies in different disciplines had different research foci and utilized different methods. While studies in the technical disciplines tended to focus on the development of AI for specific HRM functions, studies from the other disciplines tended to focus on the consequences of AI on HRM, jobs, and labor markets. Most studies in all categories were relatively weak in theoretical development. We therefore offer recommendations for interdisciplinary collaborations, propose a unified definition of AI, and provide implications for research and practice. •This paper provides a systematic, interdisciplinary literature review.•Artificial intelligence has great potential to change the future of HRM.•Prior research from different disciplines has been fragmented.•We identify methodological and theoretical weaknesses.•We propose recommendations for research and practice.