Past experience, traveler personality and tripographics on intention to use Airbnb
Abstract
Purpose This study aims to identify the individual and trip characteristics that are associated with intention to use peer-to-peer accommodation, including past experience (users vs non-users), accommodation preferences, traveler personality and tripographic variables. Design/methodology/approach To compare Airbnb users and non-users, quantitative research was conducted to test for group differences. A questionnaire was designed and administered face-to-face in major tourist areas. Quota sampling was used to ensure comparable samples of Airbnb users and non-users. Findings While Airbnb users and non-users expressed few differences in their demographics and perceived importance of accommodation attributes, the two groups vary in their perception of Airbnb and evaluation of Airbnb compared to hotels, suggesting some positive and negative changes after experiencing Airbnb. Respondents who were more allocentric were more likely to use Airbnb. Hotels were preferred for traveling with family as well as shorter trips, while Airbnb was preferred for traveling with friends as well as longer trips. Practical implications This study identified several challenges for Airbnb and other sharing platforms, including consumers’ security concerns, potential decrease in the likelihood of repeat usage and low likelihood of using Airbnb when traveling with family. Originality/value While previous studies focused more on existing customers of peer-to-peer accommodation, this study compared users a…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Platform businesses often offer a lower price than pipeline businesses.
“Platforms businesses often offer a lower price than pipeline businesses which constitutes a powerful decision factor for many consumers (Poon and Huang, 2017;So et al., 2018;Tussyadiah and Pesonen, 2018;Yang and Ahn, 2016).”
From Platforms in the peer-to-peer sharing economy (2019) · cites this paper as Poon and Huang, 2017
Lower price is a powerful decision factor for many consumers.
“Platforms businesses often offer a lower price than pipeline businesses which constitutes a powerful decision factor for many consumers (Poon and Huang, 2017;So et al., 2018;Tussyadiah and Pesonen, 2018;Yang and Ahn, 2016).”
From Platforms in the peer-to-peer sharing economy (2019) · cites this paper as Poon and Huang, 2017
Perceived risk can be increased by using assets and resources of others in an unsupervised manner.
“On the negative side, perceived risk can be increased due to the”
From Platforms in the peer-to-peer sharing economy (2019) · cites this paper as Poon and Huang, 2017
Social interactions can offer authenticity and local cultural aspects.
“Social interactions between actors can form an important part of the consumption experience and offer value (Mody et al., 2017;So et al., 2018;Zhu et al., 2017), including authenticity (Guttentag et al., 2018;Poon and Huang, 2017) and local cultural aspects (Poon and Huang, 2017).”
From Platforms in the peer-to-peer sharing economy (2019) · cites this paper as Poon and Huang, 2017
Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587 · see citing works
Motivations for pleasure vacation
Crompton, J. L. (1979) · Annals of Tourism Research · doi:10.1016/0160-7383(79)90004-5 · Cited by 3,534 · see citing works
Predicting behavioral intention of choosing a travel destination
Lam, T., & Hsu, C. H. C. (2006) · Tourism Management · doi:10.1016/j.tourman.2005.02.003 · Cited by 1,111 · see citing works
Staged authenticity and heritage tourism
Chhabra, D., Healy, R., & Sills, E. (2003) · Annals of Tourism Research · doi:10.1016/s0160-7383(03)00044-6 · Cited by 1,007 · see citing works
Sharing Versus Pseudo-Sharing in Web 2.0
Belk, R. (2014) · The Anthropologist · doi:10.1080/09720073.2014.11891518 · Cited by 622 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Platforms in the peer-to-peer sharing economy
Wirtz, J., So, K. K. F., Mody, M. A., Liu, S. Q., & Chun, H. H. (2019) · Journal of Service Management · doi:10.1108/josm-11-2018-0369 · Cited by 414 · see citing works
- Authors
- Poon, K. Y., & Huang, W.-J.
- Affiliations
- Hong Kong Polytechnic University (HK)
- ORCID
- Huang, Wei-Jue
- Venue
- International Journal of Contemporary Hospitality Management
- Publisher
- Emerald
- Published
- 2017-09-11
- Volume
- 29
- Issue
- 9
- Pages
- 2425-2443
- ISSN
- 0959-6119 (ISSN-L)
- OpenAlex
- W2737782124
- Cited by
- 158
- References
- 5
- Citations by year
- 2026: 3 · 2025: 10 · 2024: 15 · 2023: 19 · 2022: 32 · 2021: 21 · 2020: 27 · 2019: 16 · 2018: 13 · 2017: 2
- FWCI
- 28.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Contemporary Hospitality Management (publishedVersion)
- PolyU Institutional Research Archive (Hong Kong Polytechnic University) (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Sharing Economy and Platforms
- Social Sciences › Sociology and Political Science › Diverse Aspects of Tourism Research
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Keywords
- Airbnb, peer-to-peer accommodation, sharing economy, intention to use, accommodation preferences, security concerns, family travel, trip length
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review