Tal Shoshani

Ph.D. Student in Marketing
Tal Shoshani is a first-year Ph.D. student in Marketing. In his research, Tal utilizes econometric, machine learning, and network analysis tools to uncover patterns of consumer and market behavior revealed in large-scale, unstructured consumer mobility data. He has presented his work at the Marketing Science Conference, Interactive Marketing Research Conference (IMRC), International Conference on Information Systems (ICIS), Conference on Information Systems and Technology (CIST), and Symposium on Statistical Challenges in Electronic Commerce Research (SCECR).
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Tal Shoshani, Peter Pal Zubcsek, Shachar Reichman () "Analyzing Purchase Decisions Using Dynamic Location Data ,"  Under review.
Tal Shoshani, Peter Pal Zubcsek, David A. Schweidel () "Balancing Consumer Privacy with Marketing Insights in Mobile Location Data ,"  Under review.
Tal Shoshani, Peter Pal Zubcsek, Shachar Reichman () "Predicting Store Closures Using Urban Mobility Data and Network Analysis ,"  In proceedings of the International Conference on Information Systems 2021.