The Achilles tendon of dynamic pricing –– the effect of consumers' fairness preferences on platform's dynamic pricing strategies

Yong Wang, Tianze Tang, Weiyi Zhang, Zhenfei Sun, Qiaoqin Xiong
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引用次数: 3

Abstract

PurposeIn 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/approachThis study applies fair game and repeated game theory.FindingsThis 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/implicationsThe 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/valueThe authors developed a theoretical model to incorporate consumers' fairness preference into the decision-making process of platforms when they design the dynamic pricing strategies.
动态定价的致命弱点——消费者公平偏好对平台动态定价策略的影响
目的研究非合作博弈中消费者公平偏好对平台动态定价策略的影响。设计/方法/方法本研究采用公平博弈和重复博弈理论。本研究发现,在一次博弈中,如果消费者有公平偏好,动态价格会略有下降。在重复博弈中,即使消费者没有公平偏好,动态价格也会降低。当同时考虑公平偏好和重复博弈时,动态价格最有可能设定为公平价格。讨论了平台折现因素、消费者收入和消费选择对动态价格的影响。研究的局限性/启示研究结果说明了将行为因素纳入理解和设计平台动态定价策略的重要性,以及对一般社会福利的影响。原创性/价值作者建立了一个理论模型,将消费者的公平偏好纳入平台在设计动态定价策略时的决策过程中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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