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
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
A new criterion for assessing discriminant validity in variance-based structural equation modeling
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-014-0403-8 · Cited by 38,459
From Intentions to Actions: A Theory of Planned Behavior
Ajzen, I. (1985) · Action Control · doi:10.1007/978-3-642-69746-3_2 · Cited by 19,057
Self-efficacy mechanism in human agency
Bandura, A. (1982) · American Psychologist · doi:10.1037/0003-066x.37.2.122 · Cited by 15,975
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012) · MIS Quarterly · doi:10.2307/41410412 · Cited by 15,756
Estimating Nonresponse Bias in Mail Surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.2307/3150783 · Cited by 12,222
Estimating nonresponse bias in mail surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.1177/002224377701400320 · Cited by 10,390
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150
Modern Methods for Business Research
(1998) · doi:10.4324/9781410604385 · Cited by 6,534
SAGE Handbook of Mixed Methods in Social & Behavioral Research
Tashakkori, A., & Teddlie, C. (2010) · doi:10.4135/9781506335193 · Cited by 6,215
Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008) · Decision Support Systems · doi:10.1016/j.dss.2007.07.001 · Cited by 3,613
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
The Effects of Personalization and Familiarity on Trust and Adoption of Recommendation Agents1
Komiak, S. Y. X., & Benbasat, I. (2006) · MIS Quarterly · doi:10.2307/25148760 · Cited by 1,374
Consumer e-shopping acceptance: Antecedents in a technology acceptance model
Ha, S., & Stoel, L. (2009) · Journal of Business Research · doi:10.1016/j.jbusres.2008.06.016 · Cited by 1,353
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
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
Conceptualizing Web site quality and its consequences in the lodging industry
Jeong, M., Oh, H., & Gregoire, M. (2003) · International Journal of Hospitality Management · doi:10.1016/s0278-4319(03)00016-1 · Cited by 337
Self-citation
Cited by
Structural model robustness checks in PLS-SEM
Sarstedt, M., Ringle, C. M., Cheah, J.-H., Ting, H., Moisescu, O. I., & Radomir, L. (2020) · Tourism Economics · doi:10.1177/1354816618823921 · Cited by 1,271
Min, S., So, K. K. F., & Jeong, M. (2019) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2018.1507866 · Cited by 489
Self-citationPlatforms 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
Self-citationMotivations and obstacles for fashion renting: a cross-cultural comparison
Lang, C., Seo, S., & Liu, C. (2019) · Journal of Fashion Marketing and Management: An International Journal · doi:10.1108/jfmm-05-2019-0106 · Cited by 81
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
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
Data sources
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.