Sebastian Gabel



Gabel S and Timoshenko A (2020)
Product Choice with Large Assortments: A Scalable Deep-Learning Model
Management Science (forthcoming)
[Journal] [Preprint]

Gabel S, Guhl D, and Klapper D (2019)
P2V-MAP: Mapping Market Structure for Large Assortments
Journal of Marketing Research, 56(4), 557-580

Proceedings (excerpt)

Schrage R, Kenning P, Guhl D, and Gabel S (2020)
Price Personalization Technology in Retail Stores: Examining the Role of Users’ Trust
In Proceedings of the 41st International Conference on Information Systems (ICIS)

Gabel S and Klapper D (2017)
Embedding Products in Latent Attribute Spaces: Implications for Managing Assortments in FMCG Retailing
In Proceedings of the 46th EMAC Conference, Groningen
Finalist EMAC best paper award based on a doctoral dissertation

Work in progress

Gabel S and Guhl D (2020)
The Impact of Personalized Coupons on Loyalty Program Usage
Revision requested at Journal of Retailing

The Impact of Personalization on Coupon Redemption Rates
With Guhl D and Klapper D
Working paper, preparing submission

Modeling Customer Heterogeneity in Deep Neural Networks
With Timoshenko A (Kellogg School of Management, Northwestern University)

Revenue Returns of Personalized Coupons
With Hitsch G, Misra S (Booth School of Business, University of Chicago)

Retail Assortment Optimization: A Deep-Learning Approach
With Ringel D (Kenan-Flagler Business School, University of North Carolina)