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Cited by 453

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Motivations and constraints of Airbnb consumers: Findings from a mixed-methods approach

So, Kevin Kam Fung, Oh, Haemoon, Min, Somang·2018·Tourism Management

Abstract

Abstract Airbnb is widely recognized as a disruptive innovation in the tourism industry. While separate studies have examined various factors affecting consumers' adoption of Airbnb, the literature has largely focused on a handful of factors in isolation. Adopting a sequential mixed-methods approach, this study proposes a comprehensive conceptual model integrating the literature and findings of a qualitative study and subsequently tests the model via a national survey. The results suggest that, for motivations, price value, enjoyment, and home benefits significantly explain overall attitude toward Airbnb. As for constraints, distrust is the only factor that significantly predicts overall attitude, while insecurity is directly related to behavioral intentions. Overall attitude, perceived behavioral control, and subjective norms, such as social influence and trend affinity, predict behavioral intentions. This study contributes to the literature by simultaneously examining the predictive power of both motivations and constraints of Airbnb consumers in explaining overall attitude and purchase behavior.

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Crossref · 10.1016/j.tourman.2018.01.009

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Metadata

Authors
So, K. K. F., Oh, H., & Min, S.
Venue
Tourism Management
Publisher
Elsevier BV
Published
2018-08
Volume
67
Pages
224-236
ISSN
0261-5177 (ISSN-L)
OpenAlex
W2791009453
Cited by
453
References
17
FWCI
99.51
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.