Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)

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Consumers’ Preference Factors for Choosing Homestays: A Study on Coping Strategies Based on Big Data

Authors
Yutong Wang1, *, Ziyu Deng1
1College of Business Administration, Guangdong University of Finance and Economics, Guangzhou, China
*Corresponding author. Email: 191070464@qq.com
Corresponding Author
Yutong Wang
Available Online 23 December 2022.
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.

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Volume Title
Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
23 December 2022
ISBN
10.2991/978-94-6463-034-3_100
ISSN
2589-4900
DOI
10.2991/978-94-6463-034-3_100How to use a DOI?
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

risenwbib
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  -