Xu, FeiFei, La, Liqing, Zhen, Feng , Lobsang, Tashi and Huang, Chao (2019) A data driven approach to guest experiences and satisfaction in sharing. Journal of Travel and Tourism Marketing, 36 (4). pp. 484-496. ISSN 1054-8408
Full content URL: https://doi.org/10.1080/10548408.2019.1570420
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JTTM data driven approach to guest experiences in sharing PIOR PROOF VERSION.docx - Whole Document 70kB |
Item Type: | Article |
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Item Status: | Live Archive |
Abstract
Accommodation sharing provides unique experiences for tourists. This study collects 33,892 guest reviews of Airbnb. A text analytic approach to deconstruct the nature of sharing experience is explored. The data driven approach extracts the following dimensions contributing to the core experiences of sharing, namely, housing, location, host-guest interaction, facility, overall sensation and others. A regression analysis further demonstrates a strong association between attributes of sharing experiences and guest satisfaction. Factors such as room facilities and home experience convey different semantic space and significantly affect guest satisfaction. Indeed, room facilities and home experience have been extracted as hygiene factor and motivator, confirming the two factor theory.
Keywords: | sharing economy, experiences, satisfaction, text analytics, Airbnb |
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Subjects: | N Business and Administrative studies > N830 UK Tourism N Business and Administrative studies > N800 Tourism, Transport and Travel |
Divisions: | Lincoln International Business School |
ID Code: | 35060 |
Deposited On: | 08 Apr 2019 15:43 |
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