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Reducing AI bias in recruitment and selection: an integrative grounded approach

Melika Soleimani et al.

International Journal of Human Resource Management2025https://doi.org/10.1080/09585192.2025.2480617article
AJG 3ABDC A
Weight
0.64

Abstract

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19 citations

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https://doi.org/https://doi.org/10.1080/09585192.2025.2480617

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@article{melika2025,
  title        = {{Reducing AI bias in recruitment and selection: an integrative grounded approach}},
  author       = {Melika Soleimani et al.},
  journal      = {International Journal of Human Resource Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1080/09585192.2025.2480617},
}

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Reducing AI bias in recruitment and selection: an integrative grounded approach

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Evidence weight

0.64

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

F · citation impact0.68 × 0.4 = 0.27
M · momentum0.97 × 0.15 = 0.15
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.