The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Authenticity and place attachment of major visitor attractions
Open accessAbstract
This paper aims to explore the relationships between place attachment and perceived authenticity of major visitor attractions. The empirical study was conducted with a sample of international tourists to major visitor attractions in two capital cities, Helsinki, Finland and Jerusalem, Israel. The results indicate a positive correlation between place attachment and authenticity. Major visitor attractions located in places with considerable heritage experience value are considered more authentic, and that authenticity of visitor attractions is influenced by place attachment moderated by iconicity and heritage value of the destination region. These findings provide insight to the ways tourists perceive authenticity of visitor attractions and highlight the importance of the heritage value of tourism destinations for strategic planning and marketing purposes.
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Cites
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Cited by
Zatori, A., Smith, M. K., & Puczko, L. (2018) · Tourism Management · doi:10.1016/j.tourman.2017.12.013 · Cited by 388
Tasci, A. D. A., Uslu, A., Stylidis, D., & Woosnam, K. M. (2022) · Journal of Travel Research · doi:10.1177/0047287520982377 · Cited by 195
El-Said, O. A. (2020) · Tourism Management Perspectives · doi:10.1016/j.tmp.2019.100604 · Cited by 176
Chen, K.-H., Huang, L., & Ye, Y. (2023) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-01-2022-0050 · Cited by 116
Metadata
- Authors
- Ram, Y., Björk, P., & Weidenfeld, A.
- Venue
- Tourism Management
- Publisher
- Elsevier BV
- Published
- 2016-02
- Volume
- 52
- Pages
- 110-122
- ISSN
- 0261-5177 (ISSN-L)
- OpenAlex
- W2195183960
- Cited by
- 459
- References
- 4
- FWCI
- 78.62
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.