Affiliation:
1. Drexel University, Philadelphia, USA
2. University of Houston – Downtown, Houston, USA
Abstract
Product return is a common after-sale service. Existing literature has assumed loss neutral consumers, while in practice consumers are often more sensitive to utility losses than gains, i.e., customers are often loss averse. In this paper, we study the impact of such loss aversion on the retailer's optimal pricing and returns policies. We analyze three scenarios where the seller offers no refund, full refund and partial refund for the returned products. Under each scenario, the seller determines the optimal price, quantity, and refund amount (under partial refund case) in order to maximize the expected profit. Our results demonstrate that consumer loss aversion leads a no-refund retailer to charge lower price and order smaller quantity, has no impact on a full-refund retailer, and results in a more lenient returns policy for a partial-refund retailer. We also find contracts that coordinate supply chains selling to loss averse consumers. Therefore, this article sheds some lights on how the management of returns policies should be adapted when consumers are loss averse.
Subject
Information Systems and Management,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems,Management Information Systems
Cited by
5 articles.
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