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

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, forthcoming.

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), forthcoming.

Hinz, Oliver / Hill, Shawndra / Sharma, Amit (2022): "Second Screening – The Influence of Concurrent TV Consumption on Online Shopping Behavior", Information Systems Research, forthcoming.

Heimbach, Irina / Hinz, Oliver (2018): "The impact of sharing mechanism design on content sharing in online social networks", Information Systems Research, 29(3), 592-611.

Hinz, Oliver / Hill, Shawndra / Kim, Ju-Young (2016): "TV's Dirty Little Secret: The Negative Effect of Popular TV on Online Auction Sales", Management Information Systems Quarterly, 40 (3), 623-644.