معرفی
Dominik Gutt is Associate Professor of Business Information Management at the Department of Technology and Operations Management, Rotterdam School of Management (RSM), Erasmus University Rotterdam. He earned his PhD from Paderborn University in May 2019 and joined RSM in September 2019, where he remains an active faculty member. His academic work bridges the fields of Information Systems and Economics, with a focus on digital platforms and emerging technologies.
His research centers on user-generated content (e.g., online reviews, peer-to-peer video streams), web3 technologies such as NFTs and DAOs, and the economic and behavioral impacts of AI, including generative AI and chatbots. He employs rigorous empirical methods, including econometric modeling and experimental design, to investigate how digital innovations reshape markets and user behavior.
His recent publications span high-impact journals such as Information Systems Research, Journal of Management Information Systems, and Journal of the Academy of Marketing Science. The article trends reflect a strong focus on digital platforms, AI-driven user behavior, and platform competition, particularly in contexts like streaming services, online communities, and digital collectibles. His work often combines field data with causal inference techniques to uncover heterogeneous treatment effects.
His research has been recognized with prestigious awards:
- AIS Early Career Award
- TARGION Research Award
- Reviewer of the Year 2023, MIS Quarterly
He actively contributes to the academic community as a member of the Editorial Review Board of Information Systems Research (starting 2025) and as an Associate Editor for Business & Information Systems Engineering. He has presented at leading conferences including the NBER Summer Institute, WISE, CIST, and ICIS. While no formal advising relationships or grant details are listed, his collaborative publications and event organization (e.g., Workshop on Digital Markets) suggest active research leadership and mentoring. He teaches analytics, econometrics, web scraping, and digital market economics to Information Systems students.
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