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All Journal International Journal of Economics, Business and Accounting Research (IJEBAR)
Yixuan Li
International College, Rajamangala University of Technology Krungthep
Economics, Econometrics & Finance

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AI-DRIVEN HRM AND EMPLOYEE INNOVATIVE BEHAVIOR THROUGH WORK ENGAGEMENT AND CREATIVE SELF-EFFICACY Yixuan Li; Arti Pandey
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 10 No 2 (2026): IJEBAR: Vol. 10, Issue 2, June 2026
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v10i2.20109

Abstract

Abstract− The rapid advancement of artificial intelligence technology has accelerated the popularization of AI- Driven HRM among modern corporate organizations. Current academic literature predominantly concentrates on the efficiency advantages brought by this new-type human resource management model. Few scholarly works have further discussed how it influences employee Innovative behavior from the perspective of individual internal psychological mechanisms. Grounding on Self-Determination Theory (SDT), this study carries out quantitative questionnaire research targeting staff members from five Internet enterprises located in Zhengzhou City. The empirical results generated by PLS-SEM statistical analysis demonstrate that AI- Driven HRM can positively predict employee adaptability and employee Innovative behavior in the workplace, and adaptability presents a prominent mediating effect between the above two research variables. This research enriches the practical application scenarios of Self-Determination Theory in the intelligent human resource management field. It also offers feasible empirical references for enterprises to optimize internal innovative performance via the implementation of AI- Driven HRM. Keywords: AI-Driven HRM; Employee Innovative Behavior; Work Engagement; Creative Self-Efficacy; Adaptability
Co-Authors Arti Pandey