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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 (5)
Academic (1)
Academic (5)

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

Featured on RSM Discovery

The robo-bias in online reviews: chatbots collect higher but shorter ratings

Discover how the use of chatbots for collecting online reviews leads to higher ratings but less detailed feedback. Learn why policymakers are considering regulations to prevent bias in online reviews.

Reviewing from a distance – the inbuilt bias

Researchers found the correlation between negative words and numerical rating gets stronger the further away reviewers are from the restaurant.