Consumers’ Preference Factors for Choosing Homestays: A Study on Coping Strategies Based on Big Data
- DOI
- 10.2991/978-94-6463-034-3_100How to use a DOI?
- Keywords
- big data; homestays; online reviews; preference factors; emotional tendencies; suggestions
- Abstract
With the advent of the era of big data, the massive data created by Internet users makes online reviews an important network reference factor. This paper uses PYTHON to collect the evaluations of related consumers on homestay websites and analyzes their evaluations using NVIVO. The main conclusions are as follows: Knowledge sharing and information exchange in consumer participation behavior have a positive impact on perceived respect and expected quality, respectively.; Perceived respect and expected quality have positive effects on store satisfaction respectively, and price changes play a moderating role in perceived respect and store satisfaction. This article puts forward some suggestions for merchants to improve consumers’ satisfaction with online shopping in the process of interacting with consumers.
- 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 - Yutong Wang AU - Ziyu Deng PY - 2022 DA - 2022/12/23 TI - Consumers’ Preference Factors for Choosing Homestays: A Study on Coping Strategies Based on Big Data BT - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022) PB - Atlantis Press SP - 974 EP - 980 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-034-3_100 DO - 10.2991/978-94-6463-034-3_100 ID - Wang2022 ER -