The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
What do Airbnb users care about? An analysis of online review comments
Open accessAbstract
Abstract This study investigates the attributes that influence Airbnb users’ experiences by analysing a “big data” set of online review comments through the process of text mining and sentiment analysis. Findings reveal that Airbnb users tend to evaluate their experience based on a frame of reference derived from past hotel stays. Three key attributes identified in the data include ‘location’, ‘amenities’ and ‘host’. Surprisingly, ‘price’ is not identified as a key influencer. The analysis suggests a positivity bias in Airbnb users’ comments while negative sentiments are mostly caused by ‘noise’. This research offers an alternative approach and more coherent understanding of the Airbnb experience. Methodologically, it contributes by illustrating how big data can be used and visually interpreted in tourism and hospitality studies.
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Cites
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
Trust and reputation in the sharing economy: The role of personal photos in Airbnb
Ert, E., Fleischer, A., & Magen, N. (2016) · Tourism Management · doi:10.1016/j.tourman.2016.01.013 · Cited by 1,295
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
The accommodation experiencescape: a comparative assessment of hotels and Airbnb
Mody, M. A., Suess, C., & Lehto, X. (2017) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-09-2016-0501 · Cited by 379
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
If nearly all Airbnb reviews are positive, does that make them meaningless?
Bridges, J., & Vásquez, C. (2018) · Current Issues in Tourism · doi:10.1080/13683500.2016.1267113 · Cited by 205
Cited by
The effect of the Covid-19 on sharing economy activities
Hossain, M. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.124782 · Cited by 327
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
Trust Mechanisms in the Sharing Economy
Alvi, T. H., Tariq, S., Rashid, A., & Khan, M. Q. (2025) · Pakistan Business Review · doi:10.22555/pbr.v26i3.1284 · Cited by 3
“…and there is agreement among both the practitioners (Botsman, 2017; Botsman & Rogers, 2010; Gebbia, 2016) and researchers (Calabro et al., 2023; Cheng & Jin, 2019; Dann et al., 2019; Huurne et al., 2017; Möhlmann,2016; Moilanen, 2023; Munger,2018) that trust in sharing economy is of vital…”
Metadata
- Authors
- Cheng, M., & Jin, X.
- Venue
- International Journal of Hospitality Management
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 76
- Pages
- 58-70
- ISSN
- 0278-4319 (ISSN-L)
- OpenAlex
- W2811422155
- Cited by
- 480
- References
- 6
- FWCI
- 92.82
- Type
- journal article
- Language
- en
- Open access
- bronze
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