The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Towards understanding members' interactivity, trust, and flow in online travel community
Abstract
Purpose: This study targeted members of online travel communities to explore the factors that affect the experience of flow and how flow affects the transaction intentions of these members. Design/methodology/approach: In order to test this model, data were collected via an online questionnaire, with a total of 286 survey instruments available. The data were analyzed using structural equations modeling with AMOS. Findings: The empirical findings showed that, first, as far as the online travel communities members are concerned, both interactivity and trust do affect each other. Second, interactivity is the key factor for the members to have flow experience in online travel communities. Third, the experience of flow can enhance the transaction intentions of members while they are in the online travel communities. Practical implications: Web site administrators should improve the interactivity with the members, so that they can have flow experience, and further strengthen their transaction intentions. Originality/value: This paper provides a model to understand online travel communities members who place their trust in the online travel agencies and, interacting with the web sites in ways that result in a flow experience, ultimately intensify their transaction intentions.
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Cites
The commitment-trust theory of relationship marketing
Morgan, R. M., & Hunt, S. D. (1994) · Journal of Marketing · doi:10.1177/002224299405800302 · Cited by 22,355
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Developing and validating trust measures for e-commerce: an integrative typology
McKnight, D. H., Choudhury, V., & Kacmar, C. (2002) · Information Systems Research · doi:10.1287/isre.13.3.334.81 · Cited by 5,550
Defining virtual reality: Dimensions determining telepresence
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What trust means in e-commerce customer relationships: an interdisciplinary conceptual typology
McKnight, D. H., & Chervany, N. L. (2001) · International Journal of Electronic Commerce · doi:10.1080/10864415.2001.11044235 · Cited by 2,282
Gefen, D., & Straub, D. W. (2004) · Omega · doi:10.1016/j.omega.2004.01.006 · Cited by 2,025
A trust model for consumer Internet shopping
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Individual Trust in Online Firms: Scale Development and Initial Test
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Defining the virtual tourist community: Implications for tourism marketing
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Cited by
Bonsón Ponte, E., Carvajal-Trujillo, E., & Escobar-Rodríguez, T. (2015) · Tourism Management · doi:10.1016/j.tourman.2014.10.009 · Cited by 718
Understanding the attitude and intention to use smartphone chatbots for shopping
Kasilingam, D. L. (2020) · Technology in Society · doi:10.1016/j.techsoc.2020.101280 · Cited by 636
Escobar-Rodríguez, T., & Carvajal-Trujillo, E. (2014) · Tourism Management · doi:10.1016/j.tourman.2014.01.017 · Cited by 590
Ling, K. C., Chai, L. T., & Piew, T. H. (2010) · International Business Research · doi:10.5539/ibr.v3n3p63 · Cited by 622
Factors affecting YouTube influencer marketing credibility: a heuristic-systematic model
Xiao, M., Wang, R., & Chan-Olmsted, S. (2018) · Journal of Media Business Studies · doi:10.1080/16522354.2018.1501146 · Cited by 497
Metadata
- Authors
- Wu, J., & Chang, Y.
- Venue
- Industrial Management & Data Systems
- Publisher
- Emerald
- Published
- 2005-09-01
- Volume
- 105
- Issue
- 7
- Pages
- 937-954
- ISSN
- 0263-5577 (ISSN-L)
- OpenAlex
- W2095884942
- Cited by
- 300
- References
- 9
- FWCI
- 14.65
- 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.