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Cited by 380

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Determinants of Sharing Travel Experiences in Social Media

Kang, Myunghwa, Schuett, Michael A.·2013·Journal of Travel & Tourism Marketing

Abstract

The advent of Internet-based social media technologies has enabled travelers to quickly and conveniently share their travel experiences. Shared information on social media sites is recognized as an important information source which may influence travel decision making for potential travelers. This study tests a conceptual framework which examines why travelers share their travel experiences on social media based on the social influence theory and its three conceptual foundations—identification, internalization, and compliance. Data were collected using an online survey and the research model was tested with 543 respondents who were social media users. Results showed that identification and internalization are critical determinants that positively increase actual travel-experience sharing on social media as mediated by perceived enjoyment. Our research extends prior literature on social media by identifying specific determinants that can impact travel-experience sharing. Suggestions are provided for academics, the travel industry, and those working with social media.

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Citations

Cites

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Metadata

Authors
Kang, M., & Schuett, M. A.
Venue
Journal of Travel & Tourism Marketing
Published
2013-01
Volume
30
Issue
1-2
Pages
93-107
ISSN
  • 1054-8408 (ISSN-L)
  • 1540-7306
OpenAlex
W1971081817
Cited by
380
References
9
FWCI
46.37
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Determinants of Sharing Travel Experiences in Social Media. https://app.cochat.ai/papers/10.1080/10548408.2013.751237
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Kang, M., & Schuett, M. A. (2013). Determinants of Sharing Travel Experiences in Social Media. Journal of Travel & Tourism Marketing. https://doi.org/10.1080/10548408.2013.751237

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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.