Dr. Dainis Zegners

Assistant Professor

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Biography

Dainis Zegners is an Assistant Professor in the Department of Technology and Operations Management at the Rotterdam School of Management, Erasmus University Rotterdam. His research focuses on how firms manage information asymmetries in digital platforms and online marketplaces. In particular, he is interested in using data from sports competitions to examine questions relevant to management, such as human decision-making patterns. Dainis has led projects that analyze chess tournament data to explore these themes. He holds a Ph.D. in Management from LMU Munich and a Diploma (equivalent to a Master’s) in Economics from the University of Bonn. Before joining the Rotterdam School of Management, he was an Assistant Professor at the University of Cologne. Dainis is actively involved in his field as an organizer for workshops and sessions at academic events, including a recent presentation at an INFORMS session focusing on the impact of generative AI on decision-making. He is interested in the implications of digitalization on new ways of working and employee dynamics, contributing to interdisciplinary themes at his university.

Research Interests

Courses

Data Modelling & Analytics BIM Master Thesis Quantitative Research Methods Big Data Business Analytics Strategy Economics Platforms Methods Master Classes BSc Project Financial Strategist BSc Project Global Thinkers

Requirements for Erasmus University Rotterdam

Master Program
Requirements
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:6.5
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:91
Prerequisites
Bachelor degree in Econometrics, Mathematics, Statistics or Industrial Engineering Advanced Mathematics (Calculus, Linear Algebra) Applied Statistics Econometrics and Time-series analysis
Application Checklist
  • Bachelor diploma or graduation statement
  • Official academic transcript
  • Curriculum Vitae
  • Proof of English proficiency
  • Course descriptions for Mathematics prerequisites
Specialization Notes

Department of Econometrics / MSc Econometrics and Management Science.