Online Product Pricing Research Considering Price Anchoring and Online Reviews

  • Xuwang Liu
  • , Qiannan Zhang
  • , Wei Qi
  • , Xiwang Guo
  • , Jiacun Wang
  • , Ying Tang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The adjustment effect of the anchoring effect and online reviews on consumer cognition has grown to be a significant element influencing business pricing. This study explores the effects of online reviews and price anchoring on company pricing and profits by building an online product pricing model based on expected utility theory from the perspective of consumer purchasing psychology. The findings show that firms must take consumer anchoring psychology into account when making decisions if they want to increase revenue. Different pricing strategies are used depending on the variables associated with the quality of online reviews. The higher the sensitivity coefficient of reviews, in particular when the quality of the reviews is higher than a specified value, the bigger the profit. In the anchor point, the optimal price is rising. When a company chooses a higher price policy, the optimal price steadily decreases with the degree of anchoring.

Original languageEnglish (US)
Title of host publication2023 IEEE International Conference on Systems, Man, and Cybernetics
Subtitle of host publicationImproving the Quality of Life, SMC 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2602-2607
Number of pages6
ISBN (Electronic)9798350337020
DOIs
StatePublished - 2023
Event2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023 - Hybrid, Honolulu, United States
Duration: Oct 1 2023Oct 4 2023

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)1062-922X

Conference

Conference2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023
Country/TerritoryUnited States
CityHybrid, Honolulu
Period10/1/2310/4/23

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction

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