Grounded in self-determination theory, this study investigates how AI-enabled human resource management (HRM) shapes employees’ AI job crafting, with intrinsic motivation for learning AI as a mediator and growth mindset as a boundary condition.
Data from 436 employees across seven organisations were collected via a three-wave design. Hypotheses were tested using bootstrapped regression via the PROCESS macro, with latent moderated structural equations (LMS) for robustness.
The results showed AI-enabled HRM positively predicted AI job crafting both directly and indirectly via intrinsic motivation for learning AI. Growth mindset moderated these pathways: effects were amplified under high growth mindset and became non-significant under low growth mindset.
Beyond investing in AI-enabled HRM systems, organisations must actively cultivate employees’ intrinsic motivation for AI learning and growth mindset. Technological deployment alone is insufficient; psychological readiness and learning orientation are equally essential for maximising AI job crafting.
This study advances the emerging literature on AI in the workplace by uncovering the motivational mechanisms linking AI-enabled HRM to proactive employee behaviour, and by establishing growth mindset as a critical individual-level boundary condition that determines when AI-enabled HRM effectively energises AI job crafting.
