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Cited by 323

The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.

Experience economy constructs as a framework for understanding wine tourism

Quadri-Felitti, Donna, Fiore, Ann Marie·2012·Journal of Vacation Marketing

Abstract

Global growth in wine tourism mirrors that of wine consumption and rural tourism. Existing research reveals that wine tourists look for dining, shopping, and cultural and recreational activities along with authentic (e.g. reflecting local elements, unique events) products and experiences. This suggests the importance of hedonic and experiential consumption theories, which have been recently referenced in wine tourism literature. The present study proposes utilization of pertinent constructs of the experience economy model to explain the experiential nature of wine tourism. Evidence from wine tourism literature in support of this proposition is presented. This proposed framework advances the emergent theory in experiential consumption and wine tourism with a comprehensive approach that may be applied to wine tourism geographies in varying stages of development. Consequently, this examination of these associations promises new theoretical directions for wine tourism and contemporary applications for managers.

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Metadata

Authors
Quadri-Felitti, D., & Fiore, A. M.
Venue
Journal of Vacation Marketing
Published
2012-01
Volume
18
Issue
1
Pages
3-15
ISSN
  • 1356-7667 (ISSN-L)
  • 1479-1870
OpenAlex
W2147140330
Cited by
323
References
49
FWCI
96.32
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Experience economy constructs as a framework for understanding wine tourism. https://app.cochat.ai/papers/10.1177/1356766711432222
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Quadri-Felitti, D., & Fiore, A. M. (2012). Experience economy constructs as a framework for understanding wine tourism. Journal of Vacation Marketing. https://doi.org/10.1177/1356766711432222

Data sources

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.