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February 11, 2021The International Journal of Human Resource Management369 citations

The adoption of artificial intelligence in employee recruitment: The influence of contextual factors

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YPYuan PanUniversity of Electronic Science and Technology of ChinaFFFabian Jintae FroeseUniversity of GöttingenNLNi Liu

Key Points

  • Investigate the contextual facilitators and constraints governing organizational adoption of artificial intelligence tools in employee recruitment.
  • Surveyed 297 Chinese enterprises to evaluate organizational, technological, and environmental drivers of AI integration in hiring.
  • Integrated the technology, organization, and environment (TOE) framework with transaction cost theory to model adoption behaviors.
  • Perceived technological complexity significantly hinders AI adoption, whereas technological competence and regulatory support act as significant positive drivers.
  • Relative technology advantages, firm size, and industry category show no statistically significant direct effects on AI recruitment adoption.
  • Transaction costs significantly moderate the relationships between AI adoption, technological complexity, and organizational technology competence.

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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Cite This Study

Pan et al. (2021) studied this question.

synapsesocial.com/papers/69d7ee665c3030ff03d1854chttps://doi.org/10.1080/09585192.2021.1879206
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