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Cited by 501

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

An Examination of the Construct of Perceived Value for the Prediction of Golf Travelers’ Intentions to Revisit

Petrick, James F., Backman, Sheila J.·2002·Journal of Travel Research

Abstract

The construct of perceived value has been identified in the marketing literature as one of the most important measures for gaining competitive edge and has been argued to be the most important indicator of repurchase intentions. Yet, in the field of tourism, repurchase intentions and consumer loyalty are often predicted solely by measures of consumer satisfaction and/or service quality. One market in need of repurchase intention research is the golf traveler market. Thus, the purpose of this study was to investigate the measurement and utilization of the construct of golf travelers’ perceived value. Results suggest that current measures of perceived value may be inappropriate and do not capture the construct of perceived value of a service. These findings indicate that theoretical development of perceived value is in need of further research and understanding. Managerial and theoretical implications are discussed.

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Crossref · 10.1177/0047287502041001005

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Metadata

Authors
Petrick, J. F., & Backman, S. J.
Venue
Journal of Travel Research
Published
2002-08-01
Volume
41
Issue
1
Pages
38-45
ISSN
  • 0047-2875 (ISSN-L)
  • 0000-0000
OpenAlex
W1977055714
Cited by
501
References
4
FWCI
8.02
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An Examination of the Construct of Perceived Value for the Prediction of Golf Travelers’ Intentions to Revisit. https://app.cochat.ai/papers/10.1177/0047287502041001005
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Petrick, J. F., & Backman, S. J. (2002). An Examination of the Construct of Perceived Value for the Prediction of Golf Travelers’ Intentions to Revisit. Journal of Travel Research. https://doi.org/10.1177/0047287502041001005

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.