Robust personalized pricing with fairness consideration

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Authors: Zecheng Hou, Yi Li, Huihui Wang, Kin Keung Lai
Cited by: 0
References: 12

Abstract

In this article, we study a robust personalized pricing problem for a firm by considering price fairness. We propose a max-min criterion for the firm’s decision-making, and then we explicitly characterize the structure of the optimal robust personalized pricing strategy. Moreover, we also illustrate how the fairness level affects the firm’s pricing decisions as well as profitability. Our results provide valuable guidelines for firms on how to set robust personalized prices with fairness consideration.

Fields of Study & Subjects

Auction Theory and Applications Game Theory and Voting Systems Digital Platforms and Economics

Publication details

Journal / source
Applied Economics Letters
Publisher
Informa UK Limited
Pages
1–5
Publication date
1 January 2026
Language
EN