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

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]