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Challenge or hindrance? How and when organizational artificial intelligence adoption influences employee job crafting

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  • Cheng, Bao
  • Lin, Hongxia
  • Kong, Yurou

Abstract

While organizations are increasingly adopting artificial intelligence (AI), little is known about employees’ reactions to this new work environment. This study utilizes the transactional theory of stress and coping to establish a framework that examines the impact of organizational AI adoption on employees’ promotion- and prevention-focused job crafting based on the data from a three-wave time-lagged survey of 332 employees of eight companies in Chengdu, China. The findings indicated that the effects of organizational AI adoption on challenge/hindrance appraisals and subsequent job crafting depend on employees’ locus of control. Organizational AI adoption induces challenge appraisals for employees with an internal locus of control and leads to promotion-focused job crafting behaviors. When employees possess an external locus of control, organizational AI adoption induces their hindrance appraisal and leads to prevention-focused job crafting behaviors. These findings have theoretical and practical implications.

Suggested Citation

  • Cheng, Bao & Lin, Hongxia & Kong, Yurou, 2023. "Challenge or hindrance? How and when organizational artificial intelligence adoption influences employee job crafting," Journal of Business Research, Elsevier, vol. 164(C).
    • Handle: RePEc:eee:jbrese:v:164:y:2023:i:c:s0148296323003454
    DOI: 10.1016/j.jbusres.2023.113987
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    Cited by:

    1. Matthias Söllner & Thomas Arnold & Alexander Benlian & Ulrich Bretschneider & Caroline Knight & Sandra Ohly & Lena Rudkowski & Gerhard Schreiber & Domenik Wendt, 2025. "ChatGPT and Beyond: Exploring the Responsible Use of Generative AI in the Workplace," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 67(2), pages 289-303, April.
    2. Ma, Liang & Yu, Peng & Zhang, Xin & Wang, Gaoshan & Hao, Feifei, 2024. "How AI use in organizations contributes to employee competitive advantage: The moderating role of perceived organization support," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    3. Chang, Zhenghan, 2025. "Influence of artificial intelligence on the financial labor market," Finance Research Letters, Elsevier, vol. 80(C).
    4. Zhao, Dan & Tang, Ningyu & Hai, Shenyang & Zhao, Lijing, 2025. "Dual effects of AI-enabled job non-routinization on creativity: The moderating role of tacit knowledge awareness," Journal of Business Research, Elsevier, vol. 198(C).
    5. Hazem Ahmed Khairy & Mohamed Ahmed & Arwa Asiri & Foziah Gazzawe & Mohamed A. Abdel Fatah & Naim Ahmad & Ayman Qahmash & Mohamed Fathy Agina, 2024. "Catalyzing Green Work Engagement in Hotel Businesses: Leveraging Artificial Intelligence," Sustainability, MDPI, vol. 16(16), pages 1-17, August.
    6. Ion Popa & Marian Mihai Cioc & Andreea Breazu & Catalina Florentina Popa, 2024. "Identifying Sufficient and Necessary Competencies in the Effective Use of Artificial Intelligence Technologies," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(65), pages 1-33, February.
    7. Zhang, Xi-xi & Hao, Xing-lin, 2025. "Linkage mechanism of antecedents for employees' continuous adoption of artificial intelligence virtual assistants," Technological Forecasting and Social Change, Elsevier, vol. 220(C).
    8. Byung-Jik Kim & Julak Lee, 2024. "The mental health implications of artificial intelligence adoption: the crucial role of self-efficacy," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    9. Chen, Chong & Zhang, Mingyu & Xu, Cong & Zhang, Yihua, 2026. "Expectation or stress? How and when subordinates adopt promotive and prohibitive voice in response to leader empowering behavior," Journal of Business Research, Elsevier, vol. 205(C).
    10. Iqbal, Qaisar & Piwowar-Sulej, Katarzyna, 2024. "Technological social responsibility: A stakeholder theory-based measurement scale," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    11. Zhou, Qiwei & Chen, Keyu & Cheng, Shuang, 2024. "Bringing employee learning to AI stress research: A moderated mediation model," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    12. Byung-Jik Kim & Min-Jik Kim & Julak Lee, 2025. "The dark side of artificial intelligence adoption: linking artificial intelligence adoption to employee depression via psychological safety and ethical leadership," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-14, December.
    13. Lin, Xinyue & Meng, Liang & Chen, Lei, 2025. "Reaffirming oneself: Exploring how artificial intelligence introduction drives employee approach crafting through a self-affirmation lens," Journal of Business Research, Elsevier, vol. 199(C).
    14. Feng Xu & Jing Qin & Dayong Zhang & Wengang Zhang, 2026. "Linking organizational AI adoption to employee knowledge behaviours: the influences of appraisals and locus of control," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 13(1), pages 1-11, December.
    15. Jiao, Yuchen & Huang, Yuling & Wen, Tong & OuYang, Mengyan, 2025. "Empathetic creativity as a ‘shield’: A dual-path study of the impact of artificial intelligence usage on employee work outcomes," Journal of Retailing and Consumer Services, Elsevier, vol. 85(C).
    16. Yanyan Liu & Fan Sheng & Ruyue Liu, 2025. "Generative AI adoption and employee outcomes: a conservation of resources perspective on job crafting, career commitment, and the moderating role of liking of AI," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-17, December.

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