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An interdisciplinary review of AI and HRM: Challenges and future directions
16 references·16 citing·54 second hopsampled
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References

  • 2003Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review15,354 cited
  • 2019Robots and Jobs: Evidence from US Labor Markets4,072 cited
  • 2015Why Are There Still So Many Jobs? The History and Future of Workplace Automation3,903 cited
  • 1995What Theory is Not1,954 cited
  • 2011Building Theory about Theory Building: What Constitutes a Theoretical Contribution?1,693 cited
  • 2019Artificial Intelligence in Human Resources Management: Challenges and a Path Forward1,585 cited
  • 2018Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management1,334 cited
  • 2019Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads854 cited
  • 2019Machines as teammates: A research agenda on AI in team collaboration827 cited
  • 2020Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization776 cited
  • n.d.The Redesign of the Matching Market for American Physicians: Some Engineering Aspects of Economic Design757 cited
  • 2019Toward understanding the impact of artificial intelligence on labor713 cited
  • 2019The wrong kind of AI? Artificial intelligence and the future of labour demand633 cited
  • 2019The Feeling Economy: Managing in the Next Generation of Artificial Intelligence (AI)

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587 cited
  • 2020When eliminating bias isn’t fair: Algorithmic reductionism and procedural justice in human resource decisions548 cited
  • 1993Solving Airline Crew Scheduling Problems by Branch-and-Cut537 cited
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