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Cited by 287

The DOI matches its Crossref record; 106 of the 106 references it cites were found in a registry or an index.

Nature-Based Tourism: Motivation and Subjective Well-Being

Kim, Hyelin, Lee, Seungwoo, Uysal, Muzaffer, Kim, Juyeon, Ahn, Kyungmo·2015·Journal of Travel & Tourism Marketing

Abstract

The purpose of this study is to understand hiking-tourist behavior by exploring tourist motivation, personal values, subjective well-being, and revisit intention. The study demonstrates the theoretical and empirical evidence of the relationships among the four constructs. Using a sample drawn from tourists in South Korea, an exploratory factor analysis (EFA) is carried out. As a result, “enjoying the natural environment and escaping from daily life”, “pursuing new type of travel”, “pursuing healthy life”, and “pursuing intimacy” are classified as motivations for hiking tourists. Moreover, in order to investigate the relevant relationships among the four constructs, a structural equation modeling (SEM) approach is used. The results indicate that revisit intention is affected by tourist motivation and subjective well-being. Furthermore, hiking-tourists’ motivation and personal values are effective predictors of subjective well-being.

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Metadata

Authors
Kim, H., Lee, S., Uysal, M., Kim, J., & Ahn, K.
Venue
Journal of Travel & Tourism Marketing
Published
2015-07-03
Volume
32
Issue
sup1
Pages
S76-S96
ISSN
  • 1054-8408 (ISSN-L)
  • 1540-7306
OpenAlex
W2203731853
Cited by
287
References
106
FWCI
11.47
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Nature-Based Tourism: Motivation and Subjective Well-Being. https://app.cochat.ai/papers/10.1080/10548408.2014.997958
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Kim, H., Lee, S., Uysal, M., Kim, J., & Ahn, K. (2015). Nature-Based Tourism: Motivation and Subjective Well-Being. Journal of Travel & Tourism Marketing. https://doi.org/10.1080/10548408.2014.997958

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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.