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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 (CV). Dominik’s research interest focus on Electronic Word-of-Mouth, in particular on customer behavior and interaction and platform design. Moreover, he works on Data-Driven Digital Transformation and analyzes, for instance, how data can be leveraged as a strategic resource and how it can be used in novel disruptive industries such as the sharing economy. His work has been published in well-reputed peer-reviewed journals including Information Systems Research. His work has also been presented in leading Information Systems and Economics conferences including the National Bureau of Economic Research (NBER) Summer Institute and the Conference on Information Systems and Technology (CIST).

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  • Academic (2)
    • 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.

    • 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.

  • Academic (5)
    • Kupfer, A., Gutt, D., Kundisch, D., & Zimmermann, S. (2021). On the Effectiveness of Self-Contained Reward Systems to Incentivize User-Generated Content (Under Review).

    • Tsekouras, D., Gutt, D., & Heimbach, I. (2021). The Rise of Robo-Reviews – The Effects of Chatbot-mediated Review Elicitation on Online Reviews.

    • Kanellopoulos, I., Gutt, D., & Li, T. (2021). Do Non-Fungible Tokens (NFTs) Affect Prices of Physical Products? Evidence from Trading Card Collectibles (Preparing Resubmission to Management Science).

    • Neumann, J., Gutt, D., & Kundisch, D. (2020). Reviewing from a Distance: Uncovering Asymmetric Moderations of Spatial and Temporal Distance Between Sentiment Negativity and Rating (Under 3rd Round Review).

    • 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 (Under Review).


Data Modelling & AnalyticsData Modelling & Analytics

  • Study year: 2021/2022
  • Code: B3T1102
  • Level: Bachelor 3, Bachelor 3, Bachelor 3

Advanced Statistics & Programming

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

BIM Research Methods

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

BIM Honours Class

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

Web Mining and Analytics

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

BIM Master Thesis

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

BIM Thesis Clinic

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

Past courses

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