Research

Journals

Gabel S, Molitor D, and Spann M (2024). The Effect of an Ad Ban on Retailer Sales: Insights from a Natural Experiment. Marketing Science (forthcoming). [Journal]

Gabel S and Timoshenko A (2022). Product Choice with Large Assortments: A Scalable Deep-Learning Model. Management Science, 68(3):1808–1827. [Journal]
  2022 Frank M. Bass Dissertation Paper Award, finalist.

Gabel S and Guhl D (2022). Comparing the Effectiveness of Rewards and Individually Targeted Coupons in Loyalty Programs. Journal of Retailing, 98(3):395–411. [Journal]

Gabel S, Guhl D, and Klapper D (2019). P2V-MAP: Mapping Market Structure for Large Assortments. Journal of Marketing Research, 56(4):557–580. [Journal] [GitHub]
  2017 EMAC Best Paper Based on Doctoral Dissertation Award, finalist.

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). [Journal]

Work in progress

Gabel S, Simester D, and Timoshenko A (2024). In-Store Coupon Effectiveness: A Large-Scale Field Experiment. [Working paper]

Wei S, Krefeld-Schwalb A, and Gabel S (2024). Global Evidence on Overlapping Motives for Sustainable Behaviors. [Working paper]

Gabel S and Ringel D (2024). Anonymous Shoppers: Zero-Shot Associative Learning for Scalable Purchase Predictions. [Working paper]

State Dependence in Brand Choice: Evidence from Field Experiments.
With Günter Hitsch, Daniel Guhl, and Joe Kook.
[Working paper]