Forschung

Ziel unserer Forschung ist es, praxisrelevante Probleme mit den Werkzeugen der Wirtschaftswissenschaften zu lösen. Dabei wird auf quantitative, analytische, simulative, experimentelle und gestaltungsorientierte Methoden zurückgegriffen.

  • Applied Machine Learning
  • Assistance Systems
  • Privacy and Trust
  • Informationsdiffusion
  • Soziale Netzwerke
  • E-Finance
  • E-Commerce insb. Empfehlungssysteme
  • Online-Pricing insb. Auktionen und Verhandlungen
  • Business Value of IT
  • Social Media
  • Economics of Security and Privacy
  • The Car and the Internet (Applications, Business Models, Adoption Behavior)
Ausgewählte Publikationen

von Zahn, Moritz / Liebich, Lena / Jussupow, Ekaterina / Hinz, Oliver / Bauer, Kevin (2025): "Knowing (not) to know: XAI and human metacognition", Information Systems Research, forthcoming. [View]

Mihale-Wilson, Cristina (2025): "Invisible Paternalism in Agentic IS: Rethinking Autonomy in the Design of AI-based Support", Forthcoming, Proceedings of the International Conference on Information Systems (ICIS2025), Nashville, US.

Mihale-Wilson, Cristina (2025): "From Whether to How Much: A Multi-tiered Perspective on Delegation to Agentic IS", Forthcoming, Proceedings of the International Conference on Information Systems (ICIS2025), Nashville, US.

Yang, Cathy Liu / Bauer, Kevin / Li, Xitong / Hinz, Oliver (2025): "My Advisor, Her AI and Me: Evidence from a Field Experiment on Human-AI Collaboration and Investment Decisions", Management Science, forthcoming.

Hanelt, André / Wiesche, Manuel / Benlian, Alexander / Hinz, Oliver (2025): "Opening the Network of Trust: How Domain Experts in Triadic Relationships Build Trust in AI-Based Counterparts", Management Information Systems Quarterly (MISQ), forthcoming.

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