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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

Academic (5)
Academic (1)
Academic (5)

Activities

  • 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

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