Moritz VON ZAHN

Assistant Professor (Education Track)

Information Systems and Operations Management

von-zahn@hec.fr https://moritzvonzahn.com/

Biography

Moritz von Zahn holds a doctoral degree in Information Systems from Goethe University Frankfurt and a Master’s in Industrial Engineering and Management from Karlsruhe Institute of Technology. He conducts quantitative empirical research on the design, application, and impact of artificial intelligence (AI) in business and society. Moritz’ recent work examines factors facilitating human-AI collaboration, AI-driven behavioral interventions (e.g., "smart nudging"), and the economic impact of generative AI on artists.

Moritz has published his research in leading management science journals, including Information Systems Research and Marketing Science, as well as in various peer-reviewed conference proceedings and practitioner outlets. His work has earned several accolades, notably the Information Systems Research Best Paper Award. Beyond his research, Moritz actively contributes to academia through university teaching.

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Scientific articles

Developers’ Dilemma: Opportunities and Pitfalls of Generative AI for Software Development

Business & Information Systems Engineering, Forthcoming, (in coll. with J. Zacharias, A. Popova, J. Chen, O. Hinz)

Knowing (Not) to Know: Explainable Artificial Intelligence and Human Metacognition

Information Systems Research, Forthcoming, (in coll. with L. Liebich, E. Jussupow, O. Hinz, K. Bauer)

Causal Machine Learning in Information Systems Research (editorial)

Business & Information Systems Engineering, April 2026, vol. 68, n° 2, pp 235-242, (in coll. with A. Güler, J. Pfeiffer, H. A. Reijers, O. Hinz)

Navigating AI conformity: A design framework to assess fairness, explainability, and performance

Electronic Markets, March 2025, vol. 35, n° 24, (in coll. with J. Zacharias, M. Lowin, J. Chen, O. Hinz)

Smart Green Nudging: Reducing Product Returns Through Digital Footprints and Causal Machine Learning

Marketing Science, July - August 2025, vol. 44, n° 4, pp 954-969, (in coll. with K. Bauer, C. Mihale-Wilson, J. Jagow, M. Speicher, O. Hinz)

Expl(AI)ned: The Impact of Explainable Artificial Intelligence on Users’ Information Processing

Information Systems Research, December 2023, vol. 34, n° 4, pp 1582-1602, (in coll. with K. Bauer, O. Hinz)

Designing a feature selection method based on explainable artificial intelligence

Electronic Markets, December 2022, vol. 32, n° 4, pp 2159-2184, (in coll. with J. Zacharias, J. Chen, O. Hinz)

The Cost of Fairness in AI: Evidence from E-Commerce

Business & Information Systems Engineering, June 2022, vol. 64, n° 3, pp 335-348, (in coll. with S. Feuerriegel, N. Kuehl)

Proceedings

Towards Designing a User-centric Decision Support System for Predictive Maintenance in SMEs

INFORMATIK 2021, Workshop: Künstliche Intelligenz für kleine und mittlere Unternehmen (KI-KMU 2021) , 2021 , Bonn (D. KELLNER, M. LOWIN, J. CHEN)

Working papers

Unmasking Superspreaders: Data-Driven Approaches for Identifying and Comparing Key Influencers of Conspiracy Theories on X.com

Cahier de Recherche , 2026

Designing Profit-Maximizing Recommender Systems in E-Commerce: An Experimental Analysis.

SSRN Electronic Journal , 2023

Please take over: XAI, delegation of authority, and domain knowledge

SAFE Working Paper Series , 2023

The Power of Recommendations: Sculpting Culture in the Digital Era