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

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 con...

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Published inHuman resource management review Vol. 33; no. 1; p. 100924
Main Authors Pan, Yuan, Froese, Fabian J.
Format Journal Article
LanguageEnglish
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
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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. •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.
AbstractList 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.
ArticleNumber 100924
Author Froese, Fabian J.
Pan, Yuan
Author_xml – sequence: 1
  givenname: Yuan
  surname: Pan
  fullname: Pan, Yuan
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– sequence: 2
  givenname: Fabian J.
  surname: Froese
  fullname: Froese, Fabian J.
  email: ffroese@uni-goettingen.de
  organization: University of Goettingen, Platz der Goettinger Sieben 5, 37073 Goettingen, Germany
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Snippet Artificial intelligence (AI) has the potential to change the future of human resource management (HRM). Scholars from different disciplines have contributed to...
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StartPage 100924
SubjectTerms Artificial intelligence (AI)
Human resource management (HRM)
Method
Systematic review
Theory
Title An interdisciplinary review of AI and HRM: Challenges and future directions
URI https://dx.doi.org/10.1016/j.hrmr.2022.100924
Volume 33
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