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Article
Publication date: 7 October 2021

Yong Wang, Tianze Tang, Weiyi Zhang, Zhen Sun and Qiaoqin Xiong

In this paper, the authors study the effect of consumers' fairness preferences on dynamic pricing strategies adopted by platforms in a non-cooperative game.

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Abstract

Purpose

In this paper, the authors study the effect of consumers' fairness preferences on dynamic pricing strategies adopted by platforms in a non-cooperative game.

Design/methodology/approach

This study applies fair game and repeated game theory.

Findings

This study reveals that, in a one-shot game, if consumers have fairness preferences, dynamic prices will slightly decline. In a repeated game, dynamic prices will be reduced even when consumers do not have fairness preferences. When fairness preferences and repeated game are considered simultaneously, dynamic prices are most likely to be set at fair prices. The authors also discuss the effect of platforms' discounting factors, the consumers' income and alternative choices of consumption on the dynamic prices.

Research limitations/implications

The study findings illustrate the importance of incorporating behavioral elements in understanding and designing the dynamic pricing strategies for platforms and the implications on social welfare in general.

Originality/value

The authors developed a theoretical model to incorporate consumers' fairness preference into the decision-making process of platforms when they design the dynamic pricing strategies.

Details

Journal of Internet and Digital Economics, vol. 1 no. 1
Type: Research Article
ISSN: 2752-6356

Keywords

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Only Open Access

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