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

Yuan Pan, Fabian Froese, Ni Liu, Yunyang Hu, Maolin Ye

Research output: Contribution to journalArticlepeer-review

139 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1125-1147
Number of pages23
JournalInternational Journal of Human Resource Management
Volume33
Issue number6
DOIs
Publication statusPublished - 2022

Bibliographical note

Publisher Copyright:
© 2021 Informa UK Limited, trading as Taylor & Francis Group.

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Organizational Behavior and Human Resource Management
  • Management of Technology and Innovation

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