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. Find...

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Main Authors: Giacomo Del Chiappa, Juan Carlos Martin, Concepción Román
Format: Article
Language:English
Published: Firenze University Press 2022-05-01
Series:Wine Economics and Policy
Subjects:
Online Access:https://oaj.fupress.net/index.php/wep/article/view/9946
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author Giacomo Del Chiappa
Juan Carlos Martin
Concepción Román
author_facet Giacomo Del Chiappa
Juan Carlos Martin
Concepción Román
author_sort Giacomo Del Chiappa
collection DOAJ
description 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.
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publisher Firenze University Press
record_format Article
series Wine Economics and Policy
spelling doaj-art-8ca53b2806d64b5ea9e71dd3c0b7672e2025-08-20T02:38:54ZengFirenze University PressWine Economics and Policy2213-39682212-97742022-05-0111110.36253/wep-9946Developing wine tourism experiences. A discrete choice analysis using best-worst scaling dataGiacomo Del Chiappa0Juan Carlos Martin1Concepción Román2Department of Economics and Business. University of Sassari & CRENoS, SassariInstitute of Tourism and Sustainable Economic Development (TIDES), University of Las Palmas de Gran Canaria, Las PalmasInstitute of Tourism and Sustainable Economic Development (TIDES), University of Las Palmas de Gran Canaria, Las PalmasThe 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. https://oaj.fupress.net/index.php/wep/article/view/9946wine tourismSardiniachoice experimentsBest-Worst Scalingdiscrete choice models
spellingShingle Giacomo Del Chiappa
Juan Carlos Martin
Concepción Román
Developing wine tourism experiences. A discrete choice analysis using best-worst scaling data
Wine Economics and Policy
wine tourism
Sardinia
choice experiments
Best-Worst Scaling
discrete choice models
title Developing wine tourism experiences. A discrete choice analysis using best-worst scaling data
title_full Developing wine tourism experiences. A discrete choice analysis using best-worst scaling data
title_fullStr Developing wine tourism experiences. A discrete choice analysis using best-worst scaling data
title_full_unstemmed Developing wine tourism experiences. A discrete choice analysis using best-worst scaling data
title_short Developing wine tourism experiences. A discrete choice analysis using best-worst scaling data
title_sort developing wine tourism experiences a discrete choice analysis using best worst scaling data
topic wine tourism
Sardinia
choice experiments
Best-Worst Scaling
discrete choice models
url https://oaj.fupress.net/index.php/wep/article/view/9946
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AT juancarlosmartin developingwinetourismexperiencesadiscretechoiceanalysisusingbestworstscalingdata
AT concepcionroman developingwinetourismexperiencesadiscretechoiceanalysisusingbestworstscalingdata