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...
Main Authors: | Xiaohuan Wang, Zhi-Ping Fan, Hongjie Liu |
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Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9272769/ |
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