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Value creation in wine tourism - an exploration through deep neural networks

[journal article]

Deng, Weiling
Gao, Daniel
Xia, Haiyang
Muskat, Birgit
Li, Gang
Law, Rob

Abstract

The aim of this paper is to explore what aspects create experiential value for wine tourists. We synthesize the extant literature into four dimensions for wine tourism value creation, namely, product-related aspects; sensory and affective experiential aspects; cognitive, educational experiential asp... view more

The aim of this paper is to explore what aspects create experiential value for wine tourists. We synthesize the extant literature into four dimensions for wine tourism value creation, namely, product-related aspects; sensory and affective experiential aspects; cognitive, educational experiential aspects; and social-relational experiential value-creating aspects. So far, most studies merely discuss product-related aspects whilst insights on experiential value are less known. Using online review data from wine tourists in Australia, we develop a novel deep neural network-based framework using an innovative AI-based exploratory design. Results of the case study reveal that in addition to product-related aspects, sensory-and education-related experiential aspects are also highly important for value creation in wine tourism. Theoretical and practical implications, as well as ideas for future research are discussed.... view less

Keywords
Australia; tourism; wine

Classification
Leisure Research

Free Keywords
deep neural network; online review data; value creation; tourist decision-making

Document language
English

Publication Year
2023

Journal
Journal of Vacation Marketing (2023) OnlineFirst

DOI
https://doi.org/10.1177/13567667221140605

ISSN
1479-1870

Status
Postprint; peer reviewed

Licence
Creative Commons - Attribution-NonCommercial 1.0


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