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

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article number100924
JournalHuman Resource Management Review
DOIs
Publication statusAccepted/In press - 2022

Bibliographical note

Publisher Copyright:
© 2022 Elsevier Inc.

All Science Journal Classification (ASJC) codes

  • Applied Psychology
  • Organizational Behavior and Human Resource Management

Fingerprint

Dive into the research topics of 'An interdisciplinary review of AI and HRM: Challenges and future directions'. Together they form a unique fingerprint.

Cite this