Moving Beyond Task Efficiency: How Generative AI Challenges Teamwork

Mayer T, Schwehn TJ (2025)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2025

Conference Proceedings Title: ECIS 2025 Proceedings

Event location: Amman JO

URI: https://aisel.aisnet.org/ecis2025/human_ai/human_ai/9

Abstract

Organizations are increasingly introducing Generative Artificial Intelligence (GenAI) into teams based on the assumption that it enhances team performance. However, the specific role and impact of GenAI in team contexts remain underexplored. To address this gap, we conducted an exploratory case study in a large multinational industrial corporation. Using semi-structured interviews, observational data, and internal documents, we investigated how GenAI influences teamwork. Our preliminary findings reveal significant effects on team inputs, mediators, and perceived performance. Specifically, while GenAI improves, for instance, task efficiency, it also presents challenges such as hindered learning, communication breakdowns, and information overload, among others.

Authors with CRIS profile

Timo Mayer Schöller Endowed Chair for Information Systems (Digitalization in Business and Society) Tim-Julian Schwehn Schöller Endowed Chair for Information Systems (Digitalization in Business and Society)

How to cite

APA:

Mayer, T., & Schwehn, T.-J. (2025). Moving Beyond Task Efficiency: How Generative AI Challenges Teamwork. In ECIS 2025 Proceedings. Amman, JO.

MLA:

Mayer, Timo, and Tim-Julian Schwehn. "Moving Beyond Task Efficiency: How Generative AI Challenges Teamwork." Proceedings of the European Conference on Information Systems (ECIS) 2025, Amman 2025.

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