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Cited by 336

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

What drives purchase intention on Airbnb? Perspectives of consumer reviews, information quality, and media richness

Chen, Chia-Chen, Chang, Ya-Ching·2018·Telematics and Informatics
DOI 10.1016/j.tele.2018.03.019
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Abstract

Abstract The owners of idle assets and their potential users create economic benefits through providing or sharing idle assets or skills, and this process has been formalized and monetized at large scales by companies such as Uber, Airbnb, USpace and others. This research seeks to understand the factors affecting the purchase intention on Airbnb users in terms of five key factors: rating, rating volume, review, information quality, and media richness. ANOVA and path analysis are used to test the relationships of these factors with perceived value, satisfaction and purchase intention. Results indicate that perceived value and satisfaction are key determinants of intention to buy, while rating volume, review, information quality, and media richness are important precursors. In addition, gender and usage experiences with Airbnb are also used to classify the sample to assess the difference between each classification. The results of this study can provide a useful reference to researchers and firms and individuals working in the sharing economy.

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Metadata

Authors
Chen, C.-C., & Chang, Y.-C.
Venue
Telematics and Informatics
Publisher
Elsevier BV
Published
2018-08
Volume
35
Issue
5
Pages
1512-1523
ISSN
0736-5853 (ISSN-L)
DOI
10.1016/j.tele.2018.03.019
OpenAlex
W2794681491
Cited by
336
References
8
FWCI
50.42
Type
journal article
Language
en
Open access
closed

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.