IDEAS home Printed from https://ideas.repec.org/p/dar/wpaper/158962.html

Understanding How Professionals Integrate Generative AI into Team Meetings: A Qualitative Study

Author

Listed:
  • Schätzle, Anna
  • Abdo, Marin
  • Gräf, Miriam
  • Buxmann, Peter

Abstract

No abstract is available for this item.

Suggested Citation

  • Schätzle, Anna & Abdo, Marin & Gräf, Miriam & Buxmann, Peter, 2026. "Understanding How Professionals Integrate Generative AI into Team Meetings: A Qualitative Study," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 158962, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    • Handle: RePEc:dar:wpaper:158962
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/158962/
    as

    Download full text from publisher

    File URL: https://hdl.handle.net/10125/111445
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anil R. Doshi & Oliver P. Hauser, 2023. "Generative artificial intelligence enhances creativity but reduces the diversity of novel content," Papers 2312.00506, arXiv.org, revised Mar 2024.
    2. Christian Meske & Iris Junglas, 2021. "Investigating the elicitation of employees’ support towards digital workplace transformation," Behaviour and Information Technology, Taylor & Francis Journals, vol. 40(11), pages 1120-1136, August.
    3. Webber, Sheila Simsarian & Detjen, Jodi & MacLean, Tammy L. & Thomas, Dominic, 2019. "Team challenges: Is artificial intelligence the solution?," Business Horizons, Elsevier, vol. 62(6), pages 741-750.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mahboobeh Davaei & Marjaana Gunkel, 2024. "The role of intelligences in teams: a systematic literature review," Review of Managerial Science, Springer, vol. 18(1), pages 259-297, January.
    2. Zhou, Qiwei & Chen, Keyu & Cheng, Shuang, 2024. "Bringing employee learning to AI stress research: A moderated mediation model," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    3. Feng, Cai (Mitsu) & Botha, Elsamari & Pitt, Leyland, 2024. "From HAL to GenAI: Optimizing chatbot impacts with CARE," Business Horizons, Elsevier, vol. 67(5), pages 537-548.
    4. Petzolt, Sophie & Seckler, Christoph, 2025. "The human side of digital transformation: A tool for identifying innovation promotors," Technovation, Elsevier, vol. 140(C).
    5. Broekhuizen, Thijs & Dekker, Henri & de Faria, Pedro & Firk, Sebastian & Nguyen, Dinh Khoi & Sofka, Wolfgang, 2023. "AI for managing open innovation: Opportunities, challenges, and a research agenda," Journal of Business Research, Elsevier, vol. 167(C).
    6. Piyush Gulati & Arianna Marchetti & Phanish Puranam & Victoria Sevcenko, 2025. "Generative AI Adoption and Higher Order Skills," Papers 2503.09212, arXiv.org, revised Jun 2025.
    7. Firuz Kamalov & David Santandreu Calonge & Ikhlaas Gurrib, 2023. "New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution," Sustainability, MDPI, vol. 15(16), pages 1-27, August.
    8. David, Sofia & Zinica, Daniel & Bărbuță-Mișu, Nicoleta & Savga, Larisa & Virlanuta, Florina-Oana, 2024. "Public administration managers' and employees' perceptions of adaptability to change under “the future of work” paradigm," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    9. Qiwei Zhou & Lingqiao Zang & Feiqiang Fu, 2024. "Influence of employee impact on their evaluation of enterprise digital capability: a mediated moderation model," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    10. Shaoni Wang & Yanzhong Dang & Wander Jager & Kees Zoethout, 2025. "Autonomy or control? An agent-based study of self-organising versus centralised task allocation," Journal of Computational Social Science, Springer, vol. 8(2), pages 1-28, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:dar:wpaper:158962. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dekanatssekretariat (email available below). General contact details of provider: https://edirc.repec.org/data/ivthdde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.