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

Gnewuch, Ulrich / Morana, Stefan / Hinz, Oliver / Kellner, Ralf / Mädche, Alexander (2023): "More than a Bot? The Impact of Disclosing Human Involvement on Customer Interactions with Hybrid Service Agents", Information Systems Research, conditionally accepted.

Bauer, Kevin / von Zahn, Moritz / Hinz, Oliver (2023): "Expl(AI)ned: The Impact of Explainable Artificial Intelligence on Users’ Information Processing", Information Systems Research, forthcoming. [View]

Abdel-Karim, Benjamin M. / Pfeuffer, Nicolas / Carl, K. Valerie / Hinz, Oliver (2023): "How AI-Based Systems Can Induce Reflections: The Case of AI-Augmented Diagnostic Work", Management Information Systems Quarterly (MISQ), forthcoming.

Li, Xitong / Grahl, Joern / Hinz, Oliver (2022): "How Do Recommender Systems Lead to Consumer Purchases? A Causal Mediation Analysis of a Field Experiment", Information Systems Research, 33(2), 620-637.

Weiler, Michael / Stolz, Simon / Lanz, Andreas / Schlereth, Christian / Hinz, Oliver (2022): "Social Capital Accumulation Through Social Media Networks: Evidence from a Randomized Field Experiment and Individual-Level Panel Data", Management Information Systems Quarterly (MISQ), 46(2), 771-812.