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...

Full description

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/

Internet

https://ieeexplore.ieee.org/document/9272769/

Similar Items