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

Author

Listed:
  • Jörg Papenkordt

    (Paderborn University)

  • Johannes Dahlke

    (University of Twente)

  • Nicolas Neef

    (University of Hohenheim)

  • Sarah Zabel

    (University of Hohenheim)

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.

Suggested Citation

  • Jörg Papenkordt & Johannes Dahlke & Nicolas Neef & Sarah Zabel, 2025. "Exploring the impact of AI on team collaboration dynamics in creative decision-making," Working Papers Dissertations 146, Paderborn University, Faculty of Business Administration and Economics.
    • Handle: RePEc:pdn:dispap:146
    as

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    File URL: http://groups.uni-paderborn.de/wp-wiwi/RePEc/pdf/dispap/DP146.pdf
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    References listed on IDEAS

    as
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    Keywords

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    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

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