Map
Framework

AI in HR management: three activities, four strategic themes

The question it answers

When an HR head weighs bringing AI into people management, which HR activities and strategic themes does the research say it affects most, and where does it snag?

Origin
Vrontis et al., 2022; Tambe et al., 2019
Diagram type
Process by phase
Level of analysis
Firm
Topics
AI for leadersChange management
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Diagram

AI in HR management: three activities, four strategic themes

  1. Three HRM activities
  2. Recruiting
  3. Training
  4. Job performance
  5. Four HRM strategies
  6. Job replacement
  7. Human-robot and human-AI collaboration
  8. Decision-making
  9. Learning opportunities

When to use it, and when not to

Use it when

Treat it as a map of the research, not a catalogue of tools: the review draws on 45 articles from top HRM, international business, general management and information management journals.

Pitfalls

Pitfall

Tambe, Cappelli and Yakubovich name four challenges in using data science for HR tasks: the complexity of HR phenomena, small data sets, accountability for fairness along with ethical and legal limits, and adverse employee reactions to decisions made by algorithms.

Sources

References

Listed A–Z by author surname, Harvard style. A source with a DOI links to https://doi.org/…; one without links to its page or says plainly that it has no DOI.

  1. Tambe, P., Cappelli, P. and Yakubovich, V. (2019) ‘Artificial intelligence in human resources management: challenges and a path forward’, California Management Review, 61(4), pp. 15–42.doi:10.1177/0008125619867910Source page
  2. Vrontis, D. et al. (2022) ‘Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review’, The International Journal of Human Resource Management, 33(6), pp. 1237–1266.doi:10.1080/09585192.2020.1871398Source page