Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/194535 
Year of Publication: 
2017
Citation: 
[Journal:] Wine Economics and Policy [ISSN:] 2212-9774 [Volume:] 6 [Issue:] 2 [Publisher:] Elsevier [Place:] Amsterdam [Year:] 2017 [Pages:] 98-106
Publisher: 
Elsevier, Amsterdam
Abstract: 
The intense competition affecting the wine industry in recent decades has forced wineries and retailers to reshape their marketing strategies on the basis of consumer preferences. The current study aims to identify such preferences and the effects they might have in influencing consumer decisions. Preferences for different wine attributes as well as the psychographic traits of respondents were revealed through a web-based questionnaire administered to 504 wine consumers living in the wider metropolitan area of New York. Best-worst scaling (BWS) was used to detect consumer preferences for eleven wine attributes. Based on individual best-worst scores, a latent class segmentation analysis was implemented to classify consumers into four segments on the basis of psychographic characteristics such as involvement, subjective knowledge, innovativeness and loyalty proneness. The four segments identified (i.e. experientials, connoisseurs, risk minimizers and price-sensitive) differ significantly in terms of their preferences towards wine and psychographic characteristics, suggesting that a mass marketing approach is no longer suitable. Accordingly, managers need to adapt their marketing strategies to meet the preferences of different target groups. The results provide broad implications for marketers, wineries and retailers interested in successfully targeting consumers in a highly competitive market.
Subjects: 
Best-worst scaling
Consumer preferences
US wine consumers
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.