Show simple item record

dc.contributor.authorCheng, Mingming
dc.contributor.authorJin, X.
dc.date.accessioned2019-02-19T04:15:22Z
dc.date.available2019-02-19T04:15:22Z
dc.date.created2019-02-19T03:58:07Z
dc.date.issued2019
dc.identifier.citationCheng, M. and Jin, X. 2019. What do Airbnb users care about? An analysis of online review comments. International Journal of Hospitality Management. 76: pp. 58-70.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/73970
dc.identifier.doi10.1016/j.ijhm.2018.04.004
dc.description.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.

dc.publisherPergamon
dc.titleWhat do Airbnb users care about? An analysis of online review comments
dc.typeJournal Article
dcterms.source.volume76
dcterms.source.startPage58
dcterms.source.endPage70
dcterms.source.issn0278-4319
dcterms.source.titleInternational Journal of Hospitality Management
curtin.departmentSchool of Marketing
curtin.accessStatusFulltext not available


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record