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

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.

Hinz, Oliver / Spann, Martin / Hann, Il-Horn (2015): "Can't buy me love... or can I? Social capital attainment through conspicuous consumption in virtual environments", Information Systems Research, 26 (4), 859-870.

Hinz, Oliver / Hann, Il-Horn / Spann, Martin (2011): "Price Discrimination in E-Commerce? An Examination of Dynamic Pricing in Name-Your-Own-Price Markets", Management Information Systems Quarterly (MISQ), 35 (1), 81-98. [Download] (VHB Best Paper Award 2011, Finalist)

Hinz, Oliver / Skiera, Bernd / Barrot, Christian / Becker, Jan (2011): "Seeding Strategies for Viral Marketing: An Empirical Comparison", Journal of Marketing, 75 (6), 55-71. [Download] (Marketing Science Institute/H. Paul Root Award 2011, Finalist)

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