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Wine tourist profiling in the Porto wine cellars: segmentation based on wine product involvement

Authors: Santos, Vasco;

Wine tourist profiling in the Porto wine cellars: segmentation based on wine product involvement

Abstract

This paper segments a sample of 918 Porto wine cellars visitors based on their wine product involvement. A segmentation methodology was applied to the wine product involvement of wine tourists. Three clusters were identified with high, medium and low wine product involvement levels. The relevant theore tical contribution of this study was to provide new evidence of segmentation based on product involvement studies in the wine tourism market field in an area were empirical studies still remain scarce. The findings offer managerial implications regarding the wine tourists’ identification and how to better adapt the visits. This is also the first study demonstrating wine tourist profiling and segmentation specifically applied to involvement with the Porto wine product.

Country
Portugal
Keywords

Tourist segmentation, wine product involvement, wine cellars tourists, cluster analysis

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green