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The present and future of artificial intelligence in people management research: A bibliometric approach

Robin Bauwens & Saša Batistič

Business Research Quarterly2025https://doi.org/10.1177/23409444251341326article
AJG 2ABDC B
Weight
0.48

What the paper says

In recent years, people management has embraced artificial intelligence (AI), which presents both challenges and opportunities. Yet, it is clear that the marriage of HRM and leadership in this domain has only just begun, and the bandwagon is carried by other disciplines such as computer science and engineering. This yields potential issues as approaches and research agendas are not aligned. We address these issues with an objective and comprehensive review. We employed two bibliometric approaches, document co-citation and bibliographic coupling, and included 863 primary and 42,664 secondary documents. Our review shows the current state of the people management and AI discussion and identifies potential future trends of this discussion based on emerging research. Based on our review we provide key findings and potential future suggestions on how the linkage between the three fields could further evolve. JEL CLASSIFICATION: O15

5 citations

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https://doi.org/https://doi.org/10.1177/23409444251341326

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@article{robin2025,
  title        = {{The present and future of artificial intelligence in people management research: A bibliometric approach}},
  author       = {Robin Bauwens & Saša Batistič},
  journal      = {Business Research Quarterly},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1177/23409444251341326},
}

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The present and future of artificial intelligence in people management research: A bibliometric approach

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Evidence weight

0.48

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.41 × 0.4 = 0.16
M · momentum0.63 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.