The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
The adoption of artificial intelligence in employee recruitment: The influence of contextual factors
Abstract
Artificial intelligence (AI) has been presented as a powerful tool in human resource management (HRM), but little academic research exists on the topic. The present study introduces the technology, organization, and environment (TOE) model from information systems research and integrates it with the transaction cost theory to better understand the facilitators and the constraints of companies’ AI adoption behavior during employee recruitment. Survey results from 297 Chinese companies suggest that companies’ perceived complexity toward AI constrains AI adoption, while technology competence and regulatory support encourage AI adoption. Relative advantages of AI technology, company size, and industry have no significant impact on AI usage. The findings also demonstrate the moderating effects of transaction costs on the influential power of technological complexity and organizations’ technology competence.
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Citations
Cites
Artificial Intelligence in Human Resources Management: Challenges and a Path Forward
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Cited by
Budhwar, P., Chowdhury, S., Wood, G., Aguinis, H., Bamber, G. J., Beltran, J. R., Boselie, P., Lee Cooke, F., Decker, S., DeNisi, A., et al. (2023) · Human Resource Management Journal · doi:10.1111/1748-8583.12524 · Cited by 908
Budhwar, P., Malik, A., De Silva, M. T. T., & Thevisuthan, P. (2022) · The International Journal of Human Resource Management · doi:10.1080/09585192.2022.2035161 · Cited by 723
Kulkov, I., Kulkova, J., Rohrbeck, R., Menvielle, L., Kaartemo, V., & Makkonen, H. (2024) · Sustainable Development · doi:10.1002/sd.2773 · Cited by 420
Cheng, B., Lin, H., & Kong, Y. (2023) · Journal of Business Research · doi:10.1016/j.jbusres.2023.113987 · Cited by 272
Chowdhury, S., Budhwar, P., & Wood, G. (2024) · British Journal of Management · doi:10.1111/1467-8551.12824 · Cited by 221
“…(Chowdhury et al. , 2023), the knowledge-based perspective (Malik, Nguyen and Budhwar, 2022), the technology, organization and environment model (Pan et al. , 2022), justice and signalling theories (Mirowska and Mesnet, 2022), person–organization fit (Kong et al. , 2023), social exchange (Malik…”
Background
Metadata
- Authors
- Pan, Y., Froese, F., Liu, N., Hu, Y., & Ye, M.
- Venue
- The International Journal of Human Resource Management
- Publisher
- Informa UK Limited
- Published
- 2021-02-11
- Volume
- 33
- Issue
- 6
- Pages
- 1125-1147
- ISSN
- 0958-5192 (ISSN-L)
- 1466-4399
- OpenAlex
- W3129844933
- Cited by
- 378
- References
- 10
- FWCI
- 52.78
- Type
- journal article
- Language
- en
- Open access
- closed
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- Pan, Y., Froese, F., Liu, N., Hu, Y., & Ye, M. (2022). The adoption of artificial intelligence in employee recruitment: The influence of contextual factors. The International Journal of Human Resource Management. https://doi.org/10.1080/09585192.2021.1879206
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