Research portfolio

Publications and work in progress.

My portfolio connects the organisational adoption of generative AI with its consequences for teams, decision-making and user autonomy.

Peer-reviewed

Publications

1 publication

2025
ECIS 2025Short paper

Moving Beyond Task Efficiency: How Generative AI Challenges Teamwork

Timo Mayer & Tim-Julian Schwehn

An exploratory organisational case study examining how generative AI affects team inputs, mediators and perceived performance. The findings surface gains in task efficiency alongside challenges for learning, communication and information management.

European Conference on Information Systems (ECIS) 2025 Proceedings, Paper 9.

Research pipeline

Selected work in progress

Projects are shown separately from published authorship.

Empirical programme

Designing GenAI champion programmes

Qualitative and longitudinal research on the roles, competencies, structures and success conditions that enable AI champions to support organisational GenAI adoption, especially in SMEs.

Research context →
Experimental research

AI agents in online shopping

Controlled studies comparing agentic and conventional shopping interfaces, focusing on usability, cognitive decision effort, user autonomy and decision quality.

Research context →
Ongoing stream

Human–AI collaboration

Research into the mechanisms through which generative AI enhances or undermines teamwork, including learning, coordination, trust and maintenance practices.

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