How Can Sellers React to Consumers’ Anticipated Regret in an Online Markdown Policy?

The purpose of this study is to understand consumers’ anticipated regret in online purchase decisions and provide a realistic method for sellers to determine their markdown policy to optimize their revenue. This paper presented a mathematical model of a seller’s markdown policy...

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Bibliographic Details
Published in:	IEEE Access
Main Authors:	Xiaohuan Wang, Zhi-Ping Fan, Hongjie Liu
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Subjects:	Anticipated regret consumer behavior revenue management pricing behavioral experiment
Online Access:	https://ieeexplore.ieee.org/document/9272769/

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