Paper Type
ERF
Abstract
Organizations are increasingly deploying AI agents as members of teams. This can impact team dynamics and influence team creativity, particularly when multiple AI agents are integrated into organizational teams. This study investigates how the proportion of AI members in hybrid teams affects team creativity and process satisfaction. We propose a research model that explains the roles of team information elaboration and AI performance in shaping the impacts of proportion of AI team members on team creativity and process satisfaction. To test this model, we propose an experiment where proportion of AI team members and AI performance will be manipulated. This will allow us to investigate the conditions under which AI team members enhance or hinder team creativity and process satisfaction, which can inform organizations’ efforts to enhance human-AI collaboration in hybrid teams. Our study will contribute to the literature on human-AI collaboration and research on creativity in hybrid human-AI teams.
Paper Number
1778
Recommended Citation
Alshahrani, Saeed A. and Queiroz, Magno, "Human-AI Collaboration in Hybrid Teams: Implications for Team Creativity and Process Satisfaction" (2025). AMCIS 2025 Proceedings. 6.
https://aisel.aisnet.org/amcis2025/sig_cnow/sig_cnow/6
Human-AI Collaboration in Hybrid Teams: Implications for Team Creativity and Process Satisfaction
Organizations are increasingly deploying AI agents as members of teams. This can impact team dynamics and influence team creativity, particularly when multiple AI agents are integrated into organizational teams. This study investigates how the proportion of AI members in hybrid teams affects team creativity and process satisfaction. We propose a research model that explains the roles of team information elaboration and AI performance in shaping the impacts of proportion of AI team members on team creativity and process satisfaction. To test this model, we propose an experiment where proportion of AI team members and AI performance will be manipulated. This will allow us to investigate the conditions under which AI team members enhance or hinder team creativity and process satisfaction, which can inform organizations’ efforts to enhance human-AI collaboration in hybrid teams. Our study will contribute to the literature on human-AI collaboration and research on creativity in hybrid human-AI teams.
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