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Cited by 334

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Using Brand Personality to Differentiate Regional Tourism Destinations

Murphy, Laurie, Moscardo, Gianna, Benckendorff, Pierre·2007·Journal of Travel Research

Abstract

Destination branding is growing rapidly as an approach to tourism destination promotion. While this concept has been borrowed from the world of general consumer goods and applied in a number of national tourism destinations, academic analysis of the value and effectiveness of destination branding has emerged more slowly. The present article addresses this paucity of academic scrutiny by examining the value of the destination brand personality construct in distinguishing between two regional tourism destinations. A survey of 480 tourists was conducted adjacent to the Great Barrier Reef in Northern Australia to gather data about the destination image attributes of two regional destinations that were branded by a state destination marketing organization. The results indicated that tourists were able to articulate different destination brand personalities for each region. The results also indicated that more work might need to be done to adapt existing frameworks of brand personality to the tourism context.

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Metadata

Authors
Murphy, L., Moscardo, G., & Benckendorff, P.
Venue
Journal of Travel Research
Published
2007-08
Volume
46
Issue
1
Pages
5-14
ISSN
  • 0047-2875 (ISSN-L)
  • 1552-6763
OpenAlex
W2066292311
Cited by
334
References
10
FWCI
33.87
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Using Brand Personality to Differentiate Regional Tourism Destinations. https://app.cochat.ai/papers/10.1177/0047287507302371
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Murphy, L., Moscardo, G., & Benckendorff, P. (2007). Using Brand Personality to Differentiate Regional Tourism Destinations. Journal of Travel Research. https://doi.org/10.1177/0047287507302371

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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.