Artikel
Developing wine tourism experiences: A discrete choice analysis using best-worst scaling data
The aim of this research is to aid winery managers in bundling a plethora of different service features to meet the wine tourists' expectations. A discrete choice model using best-worst scaling (BWS) data is estimated to obtain the relative importance of the attributes included in the analysis. Findings show that the most important aspects that make wineries attractive are: to offer wine tastings and "tour & visits", to provide visitors with wine specialists/tour guides and, finally, to make the surrounding area and natural environment as pleasant as possible. Furthermore, the study highlights that wine tourists' preferences are heterogeneous.
- Language
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Englisch
- Bibliographic citation
-
Journal: Wine Economics and Policy ; ISSN: 2212-9774 ; Volume: 11 ; Year: 2022 ; Issue: 1 ; Pages: 107-126
- Classification
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Wirtschaft
- Subject
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Best-Worst Scaling
choice experiments
discrete choice models
Sardinia
wine tourism
- Event
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Geistige Schöpfung
- (who)
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Del Chiappa, Giacomo
Martín, Juan Carlos
Román, Concepción
- Event
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Veröffentlichung
- (who)
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Firenze University Press
- (where)
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Florence
- (when)
-
2022
- DOI
-
doi:10.36253/wep-9946
- Handle
- Last update
-
10.03.2025, 11:44 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Del Chiappa, Giacomo
- Martín, Juan Carlos
- Román, Concepción
- Firenze University Press
Time of origin
- 2022
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