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Profile

Dominik Gutt is Assistant 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).

Please find my personal website here.

Publications

Academic (3)
  • 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

  • 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

  • Gutt, D., Neumann, J., Zimmermann, S., Kundisch, D., & Chen, J. (2019). Design of Review Systems – A Strategic Instrument to shape Online Reviewing Behavior and Economic Outcomes. Journal of Strategic Information Systems, 28(2), 104-117. https://doi.org/10.1016/j.jsis.2019.01.004

Academic (1)

Academic (6)
  • Foerderer, J., Gutt, D., & Greenwood, B. (2023). Star Wars: An Empirical Investigation of Star Performer Turnover and Content Supply on Multi-Sided Streaming Platforms. https://doi.org/10.2139/ssrn.4321163

  • 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

  • Kanellopoulos, I., Gutt, D., & Li, T. (2022). Do Non-Fungible Tokens (NFTs) Affect Prices of Physical Products? Evidence from Trading Card Collectibles (under review). https://doi.org/10.2139/ssrn.3918256

  • 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

  • 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

  • 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

Courses

Advanced Statistics & Programming

  • Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021
  • Code: BM01BAM
  • Level: Master

BIM Research Methods

  • Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020
  • Code: BM06BIM
  • Level: Master

Web Mining and Analytics

  • Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020
  • Code: BMME140
  • Level: Master, Master, Master, Master

BIM Master Thesis

  • Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020
  • Code: BMMTBIM
  • Level: Master

BIM Thesis Clinic

  • Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020
  • Code: BMRM1BIM
  • Level: Master

Past courses

BIM Honours Class

  • Study year: 2022/2023, 2021/2022, 2020/2021
  • Code: BMHONBIM
  • Level: Master

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