Research on Consumer Choice Behavior by Reviews on Expedia
- DOI
- 10.2991/978-94-6463-042-8_91How to use a DOI?
- Keywords
- Expedia; Property; Online Platform; Review
- Abstract
Expedia is a travel searching and booking platform. The dataset specifically showcases property searches on the platform. To help Expedia better know how to attract more consumers, by studying the association between reviews and consumers’ choices by using hypothesis test and multiple linear regressions. The results of the study found that reviews can significantly affect consumers' choice behavior. Secondly, consumers tend to view properties with Review counts less than 5000 and with higher Average Guest Rating. Thirdly, consumers prefer to give higher individual ratings to properties with more Review Count. Lastly, consumers tend to choose properties with Star Rating at 4, and properties with higher Star Ratings tend to have obviously more Review Counts. The research results of this paper can make some policy suggestions for managers engaged in this field and have important practical significance in order to regulate the healthy development of the platform.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Xingchen Zhou PY - 2022 DA - 2022/12/29 TI - Research on Consumer Choice Behavior by Reviews on Expedia BT - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022) PB - Atlantis Press SP - 635 EP - 640 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-042-8_91 DO - 10.2991/978-94-6463-042-8_91 ID - Zhou2022 ER -