The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Identifying salient attributes of peer-to-peer accommodation experience
Abstract
This study explores key content and themes from online reviews to explain major service attributes of peer-to-peer (P2P) accommodation sought by guests. The results from lexical analyses indicate that attributes frequently mentioned in guest reviews are associated with location (proximity to point of interest and characteristics of neighborhood), host (service and hospitality), and property (facilities and atmosphere). Reviews focusing on location and feeling welcome are consistently linked with higher rating scores, including accuracy, cleanliness, check-in, communication, value, and overall ratings. This confirms that P2P accommodation appeals to consumers who are driven by experiential and social motivations. Marketing implications are provided.
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Cites
Business intelligence and analytics: from big data to big impact
Chen, H., Chiang, R. H. L., & Storey, V. C. (2012) · MIS Quarterly · doi:10.2307/41703503 · Cited by 6,250
Product/Consumption-Based Affective Responses and Postpurchase Processes
Westbrook, R. A. (1987) · Journal of Marketing Research · doi:10.1177/002224378702400302 · Cited by 2,462 · cited 1×
“…which includes hotel selection, satisfaction, and post-purchase behavior, is a result of a cognitive and affective response to hotel attributes (Westbrook, 1987), and the overall evaluation of accommodation services is a combination of guest judgments about these different attributes and…”
BackgroundThe 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
What can big data and text analytics tell us about hotel guest experience and satisfaction?
Xiang, Z., Schwartz, Z., Gerdes, J. H., & Uysal, M. (2015) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2014.10.013 · Cited by 953
Big data analytics for knowledge generation in tourism destinations – A case from Sweden
Fuchs, M., Höpken, W., & Lexhagen, M. (2014) · Journal of Destination Marketing & Management · doi:10.1016/j.jdmm.2014.08.002 · Cited by 308
Cited by
When guests trust hosts for their words: Host description and trust in sharing economy
Tussyadiah, I. P., & Park, S. (2018) · Tourism Management · doi:10.1016/j.tourman.2018.02.002 · Cited by 264
Self-citationPast experience, traveler personality and tripographics on intention to use Airbnb
Poon, K. Y., & Huang, W.-J. (2017) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-10-2016-0599 · Cited by 158
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
Where the host is part of the deal: Social and economic value in the platform economy
Dann, D., Teubner, T., Adam, M. T. P., & Weinhardt, C. (2020) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2019.100923 · Cited by 33
Metadata
- Authors
- Tussyadiah, I. P., & Zach, F.
- Venue
- Journal of Travel & Tourism Marketing
- Publisher
- Informa UK Limited
- Published
- 2016-08-10
- Volume
- 34
- Issue
- 5
- Pages
- 636-652
- ISSN
- 1054-8408 (ISSN-L)
- 1540-7306
- OpenAlex
- W2480268624
- Cited by
- 300
- References
- 5
- FWCI
- 52.18
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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