| Issue |
SHS Web Conf.
Volume 225, 2025
2025 3rd International Conference on Financial Management and the Digital Economy (ICFMDE 2025)
|
|
|---|---|---|
| Article Number | 01004 | |
| Number of page(s) | 11 | |
| Section | Digital Economics & Behavior | |
| DOI | https://doi.org/10.1051/shsconf/202522501004 | |
| Published online | 13 November 2025 | |
Consumer Perception and Decision-Making Mechanisms in Differential Pricing on Online Travel Platforms
College of International Tourism and Public Administration, Hainan University, Haikou, 570228, China
* Corresponding author: 20223005719@hainanu.edu.cn
With the development of the Internet, the differentiated pricing widely applied by online travel platforms has aroused widespread concern among consumers about price fairness. This study focuses on the influence mechanism of Qunar’s differentiated pricing strategy on consumer behavior. Based on in-depth interviews with 20 users, the grounded theory method was employed to deeply analyze users’ perception of differentiated pricing and the internal paths that influence decision-making. The research finds that consumers’ perception is influenced by both the platform’s pricing strategy and their own characteristics, and is transmitted through three core mediating variables: perception of fairness, perception of transparency, and judgment of economic value. These perceptions then drive consumers’ information search behaviors, strategic responses, and complaint tendencies, ultimately influencing their consumption decisions. It is worth noting that non-price decision-making factors play a key regulatory role in this process. The research conclusion provides important practical inspirations and theoretical references for online travel platforms to optimize pricing strategies, enhance user satisfaction and loyalty, and achieve a win-win situation.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

