Dr. Alexander Genevsky

Associate Professor

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Biography

Alexander Genevsky is an Associate Professor at Rotterdam School of Management, Erasmus University Rotterdam. He holds a Ph.D. in Psychology from Stanford University, where his research concentrated on decision-making and affective neuroscience. With a background in Computer Science from Binghamton University, his interdisciplinary approach merges behavioral experimentation with neuroimaging techniques to investigate how social and emotional factors influence consumer decisions. His current projects include developing scalable models based on laboratory findings to accurately describe and predict market-level behavior. As an expert in the field of marketing, Genevsky has contributed to numerous applied studies and research that leverage neuroimaging to enhance understanding of consumer behavior, specifically in crowdfunding scenarios. His work also critiques traditional methods of market research, advocating for the use of neuroscientific insights to better gauge consumer preferences. Additionally, he teaches courses related to marketing management, international marketing, and consumer behavior analysis, aiming to equip his students with a robust understanding of the evolving intersections of neuroscience and marketing. Genevsky's innovative research is pivotal in advancing methodologies that forecast consumer tendencies and preferences, setting new foundations in the marketing discipline.

Research Interests

Courses

Markstrat Simulation Project Marketing Management Foundations of International Marketing Brain Business

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.