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<p>As GenAI garners substantial attention and investment, its transformative potential in reshaping team dynamics and productivity within intensive project management workflows remains underexplored. This study addresses this research gap through a multi-method investigation, combining organizational learning, computational modeling, and field experiments. Examining the influence of GenAI across project development phases, the research elucidates its impact on team performance outcomes. A randomized experiment involving 107 professionals provides insights into the nuanced dynamics of GenAI infusion, considering contextual factors. The findings contribute valuable evidence-based insights for organizations navigating the integration of GenAI, offering practical guidance on leveraging its capabilities for enhanced goal-oriented collaboration. The study concludes with implications for research and practice, acknowledging limitations and suggesting avenues for further exploration in the evolving landscape of Human-GenAI augmentation in organizations.</p>

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Decoding GenAI Assimilation in Teams: A Multi-Method Study of GenAI’s Impact on Collaborative Performance in Project-Based Work

  • 期刊论文

  • 发表日期：

    2025年10月4日

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  • Gaurav Gupta,
  • Neha Chaudhuri

摘要

As GenAI garners substantial attention and investment, its transformative potential in reshaping team dynamics and productivity within intensive project management workflows remains underexplored. This study addresses this research gap through a multi-method investigation, combining organizational learning, computational modeling, and field experiments. Examining the influence of GenAI across project development phases, the research elucidates its impact on team performance outcomes. A randomized experiment involving 107 professionals provides insights into the nuanced dynamics of GenAI infusion, considering contextual factors. The findings contribute valuable evidence-based insights for organizations navigating the integration of GenAI, offering practical guidance on leveraging its capabilities for enhanced goal-oriented collaboration. The study concludes with implications for research and practice, acknowledging limitations and suggesting avenues for further exploration in the evolving landscape of Human-GenAI augmentation in organizations.