Profile
Dominik Gutt is Associate Professor of Business Information Management at the Department of Technology and Operations Management at Rotterdam School of Management, Erasmus University. He obtained his PhD from Paderborn University in May 2019 and joined RSM in September 2019.
Dominik’s main research interests lie in user-generated content (e.g., electronic word-of-mouth or peer-to-peer video streams), web3 (e.g., NFTs and DAOs), and AI usage (e.g., generative AI, chatbots). Currently, Dominik is mainly teaching analytics, research methods for IS students (in particular, econometrics), and web scraping.
His work has been accepted at well-reputed peer-reviewed journals including Information Systems Research and Management Information Systems Quarterly. His work has also been presented at leading Information Systems and Economics conferences including the National Bureau of Economic Research (NBER) Summer Institute, the Workshop on Information Systems and Economics (WISE), the Conference on Information Systems and Technology (CIST), and the International Conference on Information Systems (ICIS).
His research has been recognized with several awards (e.g., AIS Early Career Award, TARGION Research Award) and featured in popular national news outlets (TV, radio, news websites) as well as in research-focused and general interest podcasts. He is an active member of the academic community, particularly in Information Systems, where he serves on the Editorial Review Board of ISR (starting 2025) and as an AE for Business & Information Systems Engineering. He also received the Reviewer of the Year 2023 Award from MIS Quarterly.
Please find his personal website here.
Publications
Article (5)
Academic (5)
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Foerderer, J., Gutt, D., & Greenwood, B. (2025). Star Wars: An Empirical Investigation of Star Performer Turnover and Content Supply on Multi-Sided Streaming Platforms. Information Systems Research. Advance online publication. https://doi.org/10.1287/isre.2023.0367
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Quinn, M., & Gutt, D. (Accepted/In press). Heterogeneous Effects of Generative AI on Knowledge Seeking in Online Communities. Journal of Management Information Systems. https://doi.org/10.2139/ssrn.4522386
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Tsekouras, D., Gutt, D., & Heimbach, I. (2024). The Robo Bias in Conversational Reviews: How the Solicitation Medium Anthropomorphism affects Product Rating Valence and Review Helpfulness. Journal of the Academy of Marketing Science, 52(6), 1651-1672. https://doi.org/10.1007/s11747-024-01027-8
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Neumann, J., Gutt, D., & Kundisch, D. (2023). Reviewing from a Distance: Uncovering Asymmetric Moderations of Spatial and Temporal Distance between Sentiment Negativity and Rating. MIS Quarterly, 47(7), 1709-1726. https://doi.org/10.25300/misq/2022/17037
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Gutt, D., Herrmann, P., & Rahman, MS. (2019). Crowd-Driven Competitive Intelligence: Understanding the Relationship between Local Market Competition and Online Rating Distributions. Information Systems Research, 30(3), 980-994. https://doi.org/10.1287/isre.2019.0845
Conference proceeding (1)
Academic (1)
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Müller, M., Neumann, J., Gutt, D., & Kundisch, D. (2020). Toss a Coin to Your Host: How Guests End up Paying for the Cost of Regulatory Policies. In ICIS 2020 Proceedings Article 2092 International Conference on Information Systems. https://aisel.aisnet.org/icis2020/sharing_economy/sharing_economy/13
Working paper (5)
Academic (5)
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Kanellopoulos, I., Gutt, D., & Li, T. (2025). NFT Disruption in Platform Competition: Evidence from Trading Card Collectibles (under review). https://doi.org/10.2139/ssrn.3918256
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Kanellopoulos, I., Gutt, D., Tunc, M., & Li, T. (2023). How Do Platform Subsidies Affect Creation, Engagement, and Pricing? Evidence from Non-Fungible Tokens. https://doi.org/10.2139/ssrn.4335127
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Kupfer, A., Gutt, D., Kundisch, D., & Zimmermann, S. (2021). On the Effectiveness of Self-Contained Reward Systems to Incentivize User-Generated Content. https://doi.org/10.2139/ssrn.3823280
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Tsekouras, D., Gutt, D., & Heimbach, I. (2021). The Rise of Robo-Reviews – The Effects of Chatbot-mediated Review Elicitation on Online Reviews. https://doi.org/10.2139/ssrn.3754200
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Gutt, D., Neumann, J., Jabr, W., & Kundisch, D. (2020). My Reviews are taken away, what about my Reputation? The Asymmetric Impact of Resetting the Review History on Mobile App Platforms. https://doi.org/10.2139/ssrn.3565937
Activities
Additional activities (1)
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Workshop on Digital Markets (WDM)Dominik Gutt (Organiser)12 May 2025 - 13 May 2025
Activity: Attendance > Attending an event (Academic)
Courses
Information Systems Research (NLIS)
- Study year: 2024/2025
- Code: BERMASC051
- Level: PhD
Advanced Statistics & Programming
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022, 2020/2021
- Code: BM01BAM
- Level: Master
BIM Research Methods
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020
- Code: BM06BIM
- Level: Master
BIM Honours Class
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022, 2020/2021
- Code: BMHONBIM
- Level: Master
Web Mining and Analytics
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020
- Code: BMME140
- Level: Master, Master, Master, Master
BIM Master Thesis
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020
- Code: BMMTBIM
- Level: Master
BIM Thesis Clinic
- Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020
- Code: BMRM1BIM
- Level: Master
Past courses
Web Mining and Analytics
- Study year: 2022/2023
- Code: BMME140-BAM
- Level: Master, Master, Master, Master
Data Modelling & Analytics
- Study year: 2021/2022
- Code: B3T1102
- Level: Bachelor 3, Bachelor 3, Bachelor 3
Business Information Management
- Study year: 2020/2021
- Code: BT1213
- Level: Bachelor 1, Bachelor 3, Pre-master
Business Information Management
- Study year: 2019/2020
- Code: BT1113
- Level: Bachelor 1, Bachelor 3, Pre-master
Featured in the media
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New Research reveals online retailers can use chatbots to manipulate ratings
When consumers use chatbots to submit online reviews they tend to give higher ratings but provide less detailed feedback according to new research from RSM.
Tuesday, 15 October 2024 -
Retailers Use Chatbots to Manipulate Online Reviews, New Study Reveals
A recent study conducted by researchers from the Rotterdam School of Management and WHU – Otto Beisheim School of Management has uncovered a worrying trend in the use of chatbots by online retailers. According to the research,…
Tuesday, 15 October 2024 -
The robo bias in conversational reviews: How the solicitation medium anthropomorphism affects product rating valence and review helpfulness
Advantages, drawbacks, and potential ethical concerns of anthropomorphic technology in customer feedback solicitation. Moderate levels of anthropomorphism lead to increased interaction enjoyment, and high levels increase social…
Thursday, 6 June 2024 -
The robo bias in conversational reviews
How the solicitation medium anthropomorphism affects product rating valence and review helpfulness. Advantages, drawbacks, and potential ethical concerns of anthropomorphic technology in customer feedback solicitation. Moderate…
Thursday, 6 June 2024 -
The robo bias in conversational reviews: How the solicitation medium anthropomorphism affects product rating valence and review helpfulness
Companies are increasingly introducing conversational reviews—reviews solicited via chatbots—to gain customer feedback. However, little is known about how chatbot-mediated solicitation influences rating valence and review…
