Dr. Greetje Corporaal

Assistant Professor

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Biography

Greetje Corporaal is an Assistant Professor of Organization Digitization at the Rotterdam School of Management, Erasmus University Rotterdam. With a Ph.D. in Organization Sciences from VU Amsterdam, Greetje has gained extensive expertise in the social organizational implications of novel digital technologies in the workplace. Utilizing ethnographic methods such as participant observation and interviews, her research explores the changing nature of work in the digital economy, particularly focusing on the impact of emerging technologies like artificial intelligence and cloud computing on knowledge-intensive work. She is also a research associate at the Saïd Business School, University of Oxford, and a co-host of the Talking Organizations Podcast. Greetje received the British Academy Postdoctoral Fellowship in 2019 for her study on how digital platforms are transforming work, alongside honors such as the Young Talent Award from the Prins Bernhard Cultuurfonds and the Wilhelmina Drucker Early Career Award at VU Amsterdam. She has contributed to important discussions regarding future work policies at platforms like the European Commission and the World Economic Forum.

Research Interests

Experience

Assistant Professor

— Present

Erasmus University Rotterdam • Rotterdam, Netherlands

Teaching and conducting research in organization digitization.

Research Associate

— Present

Saïd Business School, University of Oxford • Oxford, UK

Engaged in research related to organization digitization.

Awards

#

British Academy Postdoctoral Fellowship

#

Young Talent Award

#

Wilhelmina Drucker Early Career Award

Courses

POC Master Thesis Psychologie & Organisatie PT

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.