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Cited by 309

The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.

Exploring the Theoretical Framework of Emotional Solidarity between Residents and Tourists

Woosnam, Kyle M., Norman, William C., Ying, Tianyu·2009·Journal of Travel Research

Abstract

Residents and tourists within destinations are often portrayed as being separate from each other, possessing little in common. Such an approach can undermine the potential for a dynamic, intimate relationship to exist between residents and tourists. This research offers the theory of emotional solidarity, put forth by Emile Durkheim, as a theoretical framework to examine the relationship between residents and tourists. In addition, a series of focus groups with residents of a coastal South Carolina county was conducted to ascertain residents’ feelings about tourists and commonalities with tourists (i.e., shared beliefs, shared behavior, and interaction). Themes corresponding to constructs from Durkheim’s model were generated from the qualitative data analysis. Findings are discussed, along with practical implications and future research options.

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Crossref · 10.1177/0047287509332334

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Metadata

Authors
Woosnam, K. M., Norman, W. C., & Ying, T.
Venue
Journal of Travel Research
Published
2009-02-27
Volume
48
Issue
2
Pages
245-258
ISSN
  • 0047-2875 (ISSN-L)
  • 1552-6763
OpenAlex
W2099555692
Cited by
309
References
53
FWCI
20.62
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Exploring the Theoretical Framework of Emotional Solidarity between Residents and Tourists. https://app.cochat.ai/papers/10.1177/0047287509332334
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Woosnam, K. M., Norman, W. C., & Ying, T. (2009). Exploring the Theoretical Framework of Emotional Solidarity between Residents and Tourists. Journal of Travel Research. https://doi.org/10.1177/0047287509332334

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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.