Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/93189
| Title: | Factors determining the disruption from sharing economy : evidence from Airbnb in China | Authors: | Qiu, H Li, Q Lin, P Peng, KL |
Issue Date: | 2022 | Source: | Current issues in tourism, 2022, v. 25, no. 21, p. 3401-3411 | Abstract: | Airbnb is one of the most successful sharing platforms, providing informal, long-term accommodations globally. China is considered the fastest growing market in the domestic and global tourism industry. This study aims to explore the relationship between sharing economy and the traditional hospitality in China by identifying factors affecting such relationship. Interviews with 84 tourism and hotel executives in China are conducted, and the data is analysed with NVivo 11. This study recognized three types of the relationship. In advance, it also identifies five factors that influence these relationships, namely, seasonality, target market, location, urbanization and type of hotel. | Keywords: | High-end hotel Seasonality Sharing economy Urbanization level |
Publisher: | Routledge, Taylor & Francis Group | Journal: | Current issues in tourism | ISSN: | 1368-3500 | EISSN: | 1747-7603 | DOI: | 10.1080/13683500.2020.1832970 | Rights: | © 2020 Informa UK Limited, trading as Taylor & Francis Group This is an Accepted Manuscript of an article published by Taylor & Francis in Current issues in tourism on 16 Oct 2020 (Published online), available online: http://www.tandfonline.com/10.1080/13683500.2020.1832970. |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Lin_Factors_Determining_Disruption.pdf | Pre-Published version | 1.35 MB | Adobe PDF | View/Open |
Page views
162
Last Week
14
14
Last month
Citations as of Nov 30, 2025
Downloads
305
Citations as of Nov 30, 2025
SCOPUSTM
Citations
8
Citations as of Dec 19, 2025
WEB OF SCIENCETM
Citations
8
Citations as of Dec 18, 2025
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.



