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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. 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.
    2. 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.
    3. Iqbal, Qaisar & Piwowar-Sulej, Katarzyna, 2024. "Technological social responsibility: A stakeholder theory-based measurement scale," Technological Forecasting and Social Change, Elsevier, vol. 205(C).

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