Research

The aim of our research is to solve practical problems with the tools of economics. For this, quantitative, analytical, simulative, experimental and design oriented methods are used.

  • Applied Machine Learning
  • Assistance Systems
  • Privacy and Trust
  • Information diffusion
  • Social Networks and Social Contagion
  • E-Finance
  • E-Commerce esp. recommendation systems
  • Online pricing esp. auctions and negotiations
  • Business Value of IT
  • Social Media
  • Economics of Security and Privacy
  • The Car and the Internet (Applications, Business Models, Adoption Behavior)
Selected Publications

Jussupow, Ekaterina / Bauer, Kevin / Heigl, Rebecca / Vogt, Ben / Hinz, Oliver (2026): "The Indirect Disclosure Effect: How Disclosing Generative AI Use Impacts Human Creative Collaboration with AI", Information Systems Research, forthcoming.

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]

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.

von Zahn, Moritz / Bauer, Kevin / Mihale-Wilson, Cristina / Jagow, Johanna / Speicher, Maximilian / Hinz, Oliver (2024): "Smart Green Nudging: Reducing Product Returns through Digital Footprints and Causal Machine Learning", Marketing Science, 44(4), 954-969. [View]

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