Exploring the impact of AI on team collaboration dynamics in creative decision-making

Jörg Papenkordt (), Johannes Dahlke (), Nicolas Neef () and Sarah Zabel ()
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Jörg Papenkordt: Paderborn University
Johannes Dahlke: University of Twente
Nicolas Neef: University of Hohenheim
Sarah Zabel: University of Hohenheim

No 146, Working Papers Dissertations from Paderborn University, Faculty of Business Administration and Economics

Abstract: The integration of artificial intelligence technology in contemporary work environments raises questions about how human team members collaborate when being assisted by AI. We propose that the reductionist properties of AI technology could affect the logics by which teams operate. This experimental research project aims to identify possible changes in collaboration dynamics within teams when employing AI support in a creative task domain. We explore conversational changes in collaboration by analyzing problem-focused, procedural, action-oriented, and socio-emotional sentiments expressed by team members, as well as structural changes by examining the properties of the communication network resulting from team discussions. Based on the observed co-occurrence of contentual and structural changes, our research points toward emerging patterns of AI-augmented collaboration, indicating that the temporary duration of AI collaboration influences team dynamics differently.

Keywords: Team-AI collaboration; Team dynamics; AI team member; Generative AI; Creativity (search for similar items in EconPapers)
JEL-codes: C88 C92 D83 O31 (search for similar items in EconPapers)
Pages: 51
Date: 2025-07
New Economics Papers: this item is included in nep-ain, nep-eur and nep-tid
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