TMTimo Mayer

Information Systems · Human–AI Collaboration

Studying how people and organisations make AI work.

I am Timo Mayer, a research associate at Friedrich-Alexander-Universität Erlangen-Nürnberg. My work explores the organisational and human side of generative AI—from AI champions in organisations to agents that reshape online decision-making.

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  • Research Associate at FAU
  • Nuremberg, Germany
  • Qualitative & experimental research
Timo Mayer presenting research at an event

Open to research exchange and collaboration

Research focus

Generative AI in organisations

AI-mediated decision-making

Digital work

Current questions

AI is not merely adopted.
It is organised, negotiated and lived.

I investigate the structures, roles and interfaces that determine whether AI creates value while preserving learning, control and responsible decision-making.

01

GenAI champions

How can internal champions translate between technology, business functions and management—and help organisations move beyond experimentation?

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02

AI agents in online shopping

How do conversational recommender agents change usability, cognitive effort, autonomy and the quality of consumer decisions?

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03

Human–AI collaboration

How does generative AI transform teamwork beyond task efficiency—affecting learning, communication, coordination and trust?

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Featured publication

Moving Beyond Task Efficiency

How Generative AI Challenges Teamwork

Our exploratory case study shows that generative AI can improve task efficiency while introducing new tensions around learning, communication and information overload.

Mayer, T., & Schwehn, T.-J. (2025). ECIS 2025 Proceedings.

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Research exchange

Interested in the organisational side of AI?

I welcome conversations with researchers and organisations working on responsible, human-centred AI adoption.

timo.tm.mayer@fau.de