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Team challenges: Is artificial intelligence the solution?

Author

Listed:
  • Webber, Sheila Simsarian
  • Detjen, Jodi
  • MacLean, Tammy L.
  • Thomas, Dominic

Abstract

Artificial intelligence (AI) is emerging as a potential growth area for facilitating the improvement and development of teams in the workplace. AI, as used in the team context, is currently underdeveloped and limited, thus reducing the wide-scale adoption and implementation of AI to improve team effectiveness. The use of AI to provide team diagnostics and improvements represents a significant shift in the approach organizations currently use to facilitate and strengthen effective teamwork. We describe the challenges involved in developing team effectiveness in organizations and the potential application of AI to improve teamwork. Further, we report on our experiences using AI in business school student project teams, the important advantages and disadvantages that emerged from this, and insights for future consideration when adopting and implementing AI in the workplace. Based on our use of AI and our experience training high-performing teams, we propose a multistep process for analyzing and improving teams in organizations.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:bushor:v:62:y:2019:i:6:p:741-750
    DOI: 10.1016/j.bushor.2019.07.007
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    References listed on IDEAS

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    1. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    2. Webber, Sheila Simsarian & Webber, David S., 2015. "Launching and leading intense teams," Business Horizons, Elsevier, vol. 58(4), pages 449-457.
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    Cited by:

    1. 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.
    2. 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.
    3. 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).
    4. 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.
    5. 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).
    6. 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.

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