Paper Type
Complete
Paper Number
PACIS2025-1425
Description
Organizations are increasingly integrating AI agents into work teams to enhance efficiency and productivity. However, concerns remain about how employees adapt their roles in response to AI teammates. Drawing on self-determination theory, this study examines how AI (vs. human) teammates influence job crafting. A laboratory experiment reveals that AI (vs. human) teammates reduce promotion-focused job crafting but enhance prevention-focused job crafting, mediated by intrinsic motivation and introjected regulation. Furthermore, when an AI (vs. human) teammate serves as a coordinator, compared to implementers, its negative impact on promotion-focused job crafting is mitigated, while its positive effect on prevention-focused job crafting is amplified. This research advances the understanding of AI teammates’ impacts in shaping work design behavior and underscores the importance of the role allocation strategy in human-AI collaboration.
Recommended Citation
Liu, Mandie; Ke, Weiling; and Xu, David (Jingjun), "Effects of AI Teammates on Job Crafting: A Self-Determination Theory Perspective" (2025). PACIS 2025 Proceedings. 2.
https://aisel.aisnet.org/pacis2025/emerg_tech/emerg_tech/2
Effects of AI Teammates on Job Crafting: A Self-Determination Theory Perspective
Organizations are increasingly integrating AI agents into work teams to enhance efficiency and productivity. However, concerns remain about how employees adapt their roles in response to AI teammates. Drawing on self-determination theory, this study examines how AI (vs. human) teammates influence job crafting. A laboratory experiment reveals that AI (vs. human) teammates reduce promotion-focused job crafting but enhance prevention-focused job crafting, mediated by intrinsic motivation and introjected regulation. Furthermore, when an AI (vs. human) teammate serves as a coordinator, compared to implementers, its negative impact on promotion-focused job crafting is mitigated, while its positive effect on prevention-focused job crafting is amplified. This research advances the understanding of AI teammates’ impacts in shaping work design behavior and underscores the importance of the role allocation strategy in human-AI collaboration.
Comments
Technologies