The consumer trail: Applying best-worst scaling to classical wine attributes

Detalhes bibliográficos
Autor(a) principal: Nunes, Fernando
Data de Publicação: 2016
Outros Autores: Madureira, Teresa, Oliveira, José Vidal, Madureira, Helena
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/20.500.11960/3333
Resumo: The main goal of this study is to gain a better understanding of the buying behavior of wine consumers in Portugal. More specifically, the study identifies extrinsic attributes that influence wine purchase choices in a retail store, crossing-tabulating the results with six classification variables. The authors use the best-worst scaling method with eighteen reference attributes for designing, implementing, and analyzing responses to a survey of 250 wine buyers. Results reveal that the most significant reference attribute is whether consumers had tasted the wine previously. These findings for Portugal are in accordance with what has been observed in other Western countries. The second most important attribute, region of origin, is also commonly identified in the literature as a significant attribute. The classification variables of age and gender help to explain the behavior of the majority attributes. Using a latent class analysis, the authors obtained a set of three segments that are representative of Portuguese wine consumers. The findings presented here have important implications for wineries and wine distributors in their efforts to know their consumers better in an off-premise context and thereby to maximize profit.
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spelling The consumer trail: Applying best-worst scaling to classical wine attributesWine attributesConsumer choiceOff-premise settingBest-worst scalingWine consumerThe main goal of this study is to gain a better understanding of the buying behavior of wine consumers in Portugal. More specifically, the study identifies extrinsic attributes that influence wine purchase choices in a retail store, crossing-tabulating the results with six classification variables. The authors use the best-worst scaling method with eighteen reference attributes for designing, implementing, and analyzing responses to a survey of 250 wine buyers. Results reveal that the most significant reference attribute is whether consumers had tasted the wine previously. These findings for Portugal are in accordance with what has been observed in other Western countries. The second most important attribute, region of origin, is also commonly identified in the literature as a significant attribute. The classification variables of age and gender help to explain the behavior of the majority attributes. Using a latent class analysis, the authors obtained a set of three segments that are representative of Portuguese wine consumers. The findings presented here have important implications for wineries and wine distributors in their efforts to know their consumers better in an off-premise context and thereby to maximize profit.2023-05-30T15:23:17Z2016-10-27T00:00:00Z2016-10-272022-12-14T16:03:28Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/20.500.11960/3333eng2212-977410.1016/j.wep.2016.10.002Nunes, FernandoMadureira, TeresaOliveira, José VidalMadureira, Helenainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-06-01T06:45:13Zoai:repositorio.ipvc.pt:20.500.11960/3333Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:59:33.560479Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv The consumer trail: Applying best-worst scaling to classical wine attributes
title The consumer trail: Applying best-worst scaling to classical wine attributes
spellingShingle The consumer trail: Applying best-worst scaling to classical wine attributes
Nunes, Fernando
Wine attributes
Consumer choice
Off-premise setting
Best-worst scaling
Wine consumer
title_short The consumer trail: Applying best-worst scaling to classical wine attributes
title_full The consumer trail: Applying best-worst scaling to classical wine attributes
title_fullStr The consumer trail: Applying best-worst scaling to classical wine attributes
title_full_unstemmed The consumer trail: Applying best-worst scaling to classical wine attributes
title_sort The consumer trail: Applying best-worst scaling to classical wine attributes
author Nunes, Fernando
author_facet Nunes, Fernando
Madureira, Teresa
Oliveira, José Vidal
Madureira, Helena
author_role author
author2 Madureira, Teresa
Oliveira, José Vidal
Madureira, Helena
author2_role author
author
author
dc.contributor.author.fl_str_mv Nunes, Fernando
Madureira, Teresa
Oliveira, José Vidal
Madureira, Helena
dc.subject.por.fl_str_mv Wine attributes
Consumer choice
Off-premise setting
Best-worst scaling
Wine consumer
topic Wine attributes
Consumer choice
Off-premise setting
Best-worst scaling
Wine consumer
description The main goal of this study is to gain a better understanding of the buying behavior of wine consumers in Portugal. More specifically, the study identifies extrinsic attributes that influence wine purchase choices in a retail store, crossing-tabulating the results with six classification variables. The authors use the best-worst scaling method with eighteen reference attributes for designing, implementing, and analyzing responses to a survey of 250 wine buyers. Results reveal that the most significant reference attribute is whether consumers had tasted the wine previously. These findings for Portugal are in accordance with what has been observed in other Western countries. The second most important attribute, region of origin, is also commonly identified in the literature as a significant attribute. The classification variables of age and gender help to explain the behavior of the majority attributes. Using a latent class analysis, the authors obtained a set of three segments that are representative of Portuguese wine consumers. The findings presented here have important implications for wineries and wine distributors in their efforts to know their consumers better in an off-premise context and thereby to maximize profit.
publishDate 2016
dc.date.none.fl_str_mv 2016-10-27T00:00:00Z
2016-10-27
2022-12-14T16:03:28Z
2023-05-30T15:23:17Z
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dc.relation.none.fl_str_mv 2212-9774
10.1016/j.wep.2016.10.002
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