The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Understanding repurchase intention of Airbnb consumers: perceived authenticity, electronic word-of-mouth, and price sensitivity
Abstract
The purpose of this paper is to extend the research on consumer repurchase intention, perceived value, and perceived risk into the realm of the peer-to-peer economy, specifically in the context of Airbnb. A total of 395 surveys were collected in Canada and the United States. The results showed that perceived risk negatively impacts Airbnb consumers’ perceived value and repurchase intention while perceived value positively enhances their repurchase intention. Interestingly, price sensitivity was found not to reduce customers’ perceived risk but can improve their perceived value and positively influences them to repurchase the Airbnb products. Perceived authenticity was found to have a significant effect in reducing Airbnb consumers’ perceived risk and positively influencing their perceived value. Electronic word-of-mouth has a positive effect on repurchase intention as well as perceived value whereas it negatively affects perceived risk. Theoretical and managerial implications are discussed and future study directions are offered.
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Cites
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
Prospect Theory: An Analysis of Decision under Risk
Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524
A Paradigm for Developing Better Measures of Marketing Constructs
Churchill, G. A. (1979) · Journal of Marketing Research · doi:10.1177/002224377901600110 · Cited by 16,549
Attitude-behavior relations: A theoretical analysis and review of empirical research
Ajzen, I., & Fishbein, M. (1977) · Psychological Bulletin · doi:10.1037/0033-2909.84.5.888 · Cited by 7,611 · cited 1×
“RI was examined rather than repurchase behavior because intention is considered as the best immediate antecedent in the relationship between attitude and behavior based on the theory of reasoned action (Ajzen & Fishbein, 1977).”
MethodHennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004) · Journal of Interactive Marketing · doi:10.1002/dir.10073 · Cited by 5,916
Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008) · Decision Support Systems · doi:10.1016/j.dss.2007.07.001 · Cited by 3,613
Electronic word-of-mouth in hospitality and tourism management
Litvin, S. W., Goldsmith, R. E., & Pan, B. (2008) · Tourism Management · doi:10.1016/j.tourman.2007.05.011 · Cited by 3,267
Product/Consumption-Based Affective Responses and Postpurchase Processes
Westbrook, R. A. (1987) · Journal of Marketing Research · doi:10.1177/002224378702400302 · Cited by 2,462
The Rise of the Sharing Economy: Estimating the Impact of Airbnb on the Hotel Industry
Zervas, G., Proserpio, D., & Byers, J. W. (2017) · Journal of Marketing Research · doi:10.1509/jmr.15.0204 · Cited by 2,376
Extended Self in a Digital World: Table 1.
Belk, R. W. (2013) · Journal of Consumer Research · doi:10.1086/671052 · Cited by 1,698
Cited by
Akbar, Y. H., & Tracogna, A. (2018) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2017.12.004 · Cited by 213
Wang, C. (., & Jeong, M. (2018) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2018.04.006 · Cited by 197
Mody, M., & Hanks, L. (2020) · Journal of Travel Research · doi:10.1177/0047287519826233 · Cited by 181
An in-depth exploration of residents’ perceived impacts of transient vacation rentals
Jordan, E. J., & Moore, J. (2018) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2017.1315844 · Cited by 91
Metadata
- Authors
- Liang, L. J., Choi, H. C., & Joppe, M.
- Venue
- Journal of Travel & Tourism Marketing
- Publisher
- Informa UK Limited
- Published
- 2017-02-17
- Volume
- 35
- Issue
- 1
- Pages
- 73-89
- ISSN
- 1054-8408 (ISSN-L)
- 1540-7306
- OpenAlex
- W2587840773
- Cited by
- 425
- References
- 16
- FWCI
- 74.27
- Type
- journal article
- Language
- en
- Open access
- closed
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- Liang, L. J., Choi, H. C., & Joppe, M. (2018). Understanding repurchase intention of Airbnb consumers: perceived authenticity, electronic word-of-mouth, and price sensitivity. Journal of Travel & Tourism Marketing. https://doi.org/10.1080/10548408.2016.1224750
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
