Assortment planning and pricing with consumer searching: The role of anticipated regret


Wang, Ruibing ; Vetter, Oliver ; Schön, Cornelia



Dokumenttyp: Präsentation auf Konferenz
Erscheinungsjahr: 2025
Veranstaltungstitel: Workshop on Choice-based Optimisation and Demand Modelling
Veranstaltungsort: Lancaster, UK
Veranstaltungsdatum: 26.–27.06.2025
Verwandte URLs:
Sprache der Veröffentlichung: Englisch
Einrichtung: Fakultät für Betriebswirtschaftslehre > Service Operations Management (Schön 2014-)
Fachgebiet: 650 Management
Abstract: Consumers often search for product information to resolve valuation uncertainties before purchasing. However, due to their limited information-acquisition ability, they cannot evaluate all available alternatives. As a result, they typically engage in a two-stage search process, referred to as “consider-then-choose.” In the first stage, they decide on a consideration set, which is a subset of all available alternatives. In the second stage, they resolve uncertainties about all products within this set and choose the one with the highest utility. We extend assortment optimization under consumer choice behavior by incorporating consumer anticipated regret into the consideration set formation. Specifically, after purchase, consumers may passively encounter new information, such as review videos, recommendations, or firsthand experiences. From this information, if they notice an unconsidered product better than the purchased one, they might regret having decided on a small consideration set and not devoted enough effort to searching (under-searching regret). On the other hand, if consumers do not encounter a better product outside the consideration set, they may regret having decided on a large consideration set and devoted too much effort to searching (over-searching regret) because if they decide on a smaller consideration set which still includes the best product, they could save time for more valuable activities. We show that if consumers anticipate post-purchase regret when deciding on their consideration sets, firms may benefit from offering some products that consumers will ultimately not consider. Based on this finding, we develop fully-polynomial approximation schemes and exact conic formulation for a range of assortment problems under the consider-then-choose model with anticipated regret. We also develop an exact optimization method for the joint assortment planning and pricing problem with homogeneous consumers. With minor modifications, the exact conic formulation can also be applied to solve the joint assortment planning and discrete pricing problem with heterogeneous consumers.




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