The consumer trail: Applying best-worst scaling to classical wine attributes
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....
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| Format: | Article |
| Language: | English |
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Firenze University Press
2016-12-01
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| Series: | Wine Economics and Policy |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2212977416300187 |
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| author | Fernando Nunes Teresa Madureira José Vidal Oliveira Helena Madureira |
| author_facet | Fernando Nunes Teresa Madureira José Vidal Oliveira Helena Madureira |
| author_sort | Fernando Nunes |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-a030f1920c9e4071bb29a10da463ad03 |
| institution | DOAJ |
| issn | 2212-9774 |
| language | English |
| publishDate | 2016-12-01 |
| publisher | Firenze University Press |
| record_format | Article |
| series | Wine Economics and Policy |
| spelling | doaj-art-a030f1920c9e4071bb29a10da463ad032025-08-20T02:51:15ZengFirenze University PressWine Economics and Policy2212-97742016-12-0152788610.1016/j.wep.2016.10.002The consumer trail: Applying best-worst scaling to classical wine attributesFernando Nunes0Teresa Madureira1José Vidal Oliveira2Helena Madureira3INSTITUTO POLITÉCNICO DE VIANA DO CASTELO - Escola Superior Agrária Convento de Refóios, 4990-706 Refóios do Lima, Ponte de Lima, PortugalINSTITUTO POLITÉCNICO DE VIANA DO CASTELO - Escola Superior Agrária Convento de Refóios, 4990-706 Refóios do Lima, Ponte de Lima, PortugalINSTITUTO POLITÉCNICO DE LISBOA – Professor Jubilado da Escola Superior de Comunicação Social, Campus de Benfica, 1549-014, Lisboa, PortugalUNIVERSIDADE DO PORTO, Departamento de Geografia/CEGOT Via Panorâmica s/n, 4150-564 Porto, PortugalThe 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.http://www.sciencedirect.com/science/article/pii/S2212977416300187Wine attributesConsumer choiceOff-premise settingBest-worst scalingWine consumer |
| spellingShingle | Fernando Nunes Teresa Madureira José Vidal Oliveira Helena Madureira The consumer trail: Applying best-worst scaling to classical wine attributes Wine Economics and Policy Wine attributes Consumer choice Off-premise setting Best-worst scaling Wine consumer |
| title | 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_short | The consumer trail: Applying best-worst scaling to classical wine attributes |
| title_sort | consumer trail applying best worst scaling to classical wine attributes |
| topic | Wine attributes Consumer choice Off-premise setting Best-worst scaling Wine consumer |
| url | http://www.sciencedirect.com/science/article/pii/S2212977416300187 |
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