Wine consumption preferences among generations X and Y: an analysis of variability

Donate, María Carolina Rodríguez; Romero-Rodríguez, Margarita E.; Fernández, Víctor Javier Cano

doi:10.1108/bfj-12-2020-1156

Cited by 7 publications

(3 citation statements)

References 46 publications

(75 reference statements)

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“…This indicates that it is essential to delve deeper into the effect of age on wine consumption decisions, resulting from the influence of biological processes throughout a person's life cycle. However, it is not just age that can be a determining factor in the behavior of young consumers in relation to older ones, as the effects of the period, time or context in which an individual lives can also determine consumption patterns (Rodriguez et al 2021). In other words, wine tourism, as part of the tourism industry, is information intensive; therefore, it is essential to understand changes in technologies, such as the adoption of social media (Valeri & Baggio, 2020).…”

Section: Wine Consumer Behaviormentioning

confidence: 99%

The Influence of Social Networks on the Purchasing Behavior of Wine Consumers in Portugal

Sousa Pereira,

Silva,

Oliveira

et al. 2024

ECSM

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The present study was developed to understand the consumer's perception of purchasing wine online, verify whether Social Networks are a good source of information about wine, identify the main sources of information that consumers use to search, and finally assess the importance of Social Networks for SMEs in the wine sector. As a methodological approach, we implemented qualitative and quantitative research, including an in-depth interview with a marketing professional from a company in the wine sector, providing valuable insights into how they manage their brands and the challenges faced by the company in the digital scenario. We also prepared an online questionnaire survey, which investigated the purchasing and consumption behavior of buyers and consumers of Portuguese wines. The conclusions of this study presented significant practical implications for companies in the wine sector in Portugal. Therefore, we also see that these companies will be able to add efficiency to their digital marketing strategies, promoting their products in a more targeted and engaging way. In a complementary way, by recognizing the crucial role of Social Networks, companies will be able to establish a stronger and more authentic digital presence, building solid relationships with consumers.

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Section: Wine Consumer Behaviormentioning

confidence: 99%

The Influence of Social Networks on the Purchasing Behavior of Wine Consumers in Portugal

Sousa Pereira,

Silva,

Oliveira

et al. 2024

ECSM

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“…Scholars have shown that gender, age, education, occupation, nationality, region and other factors (Capitello et al, 2019;Pagan et al, 2021;Rodríguez-Donate et al, 2021) affect consumers' purchasing behaviour of wine. The research by Cai et al (2015) showed that people with different eating habits have different degrees of aroma…”

Section: Preliminary Selection Of Wine Recommendation Subtasks and In...mentioning

confidence: 99%

Wine recommendation algorithm based on partitioning and stacking integration strategy for Chinese wine consumers

Feng²,

Shu³

et al. 2022

Ital. J. Food Sci.

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This study tries to propose a wine recommendation algorithm based on partitioning and Stacking Integration Strategy for Chinese wine consumers. The approaches follow the idea of partitioning, decomposing traditional recommendation task into several subtasks according to wine attributes, using neural network, support vector machine (SVM), decision tree, random forest, optimized random forest, Adaboost and XGBoost as recommendation models. Then, based on Stacking integration method, five models are screened out for each recommendation index as the base classifier, and the decision tree or logistic regression model is selected as the meta-learner to construct a two-layer Stacking integration framework. Finally, the optimal recommendation algorithm be built for recommendation subtasks according to the prediction accuracy. The result showed that the Stacking integrated recommendation model was suitable for the recommendation of eight attributes including colour, sweetness, foamability, mouthfeel, aroma type, year, packaging and brand, while SVM model was suitable to recommend aroma concentration and price, and the XGboost model was most appropriate for origin. This study would subserve consumers to choose the wine more easily and conveniently and provide support for wine companies to improve customer satisfaction with consumer services. The study expands the approach of concerning research and proposes a specific multi-model recommendation strategy based on artificial intelligence models to recommend multiattribute commodities.

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“…, 2018, studied luxury marketing differentiation practices of Burgundy wineries), specifically by combining elements such as colors and music, considering their target (see Lategan et al. , 2017, for more information about wine attributes considered the most important by generation Y and Rodríguez-Donate et al , 2021 for differences among generations). Moreover, current knowledge could be useful for food companies, especially with regard to the way they present their products (e.g.…”

Section: Conclusion Implications and Limitationsmentioning

confidence: 99%

Multisensory analysis and wine marketing: systematic review and perspectives

Campo

Rosato²,

Battisti

2021

BFJ

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PurposeThis paper is aimed at examining and critically analyzing systematical literature on wine and cross-modality between the five senses. In particular, the researchers want to highlight the role of multisensory analysis on wine marketing and consumer behavior studies.Design/methodology/approachThis paper is based on a systematic review of literature conducted on peer-reviewed journals.FindingsResults highlight how multisensory analysis of wine is a growing topic insomuch that research on this kind of topic is exploded in the last years. Nevertheless, wine and cross-modality is more analyzed on food science journals than in marketing ones.Originality/valueThe paper examines a field of research moderately explored in order to shed light to the current status of scientific studies and to propose new research questions to develop.

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Wine consumption preferences among generations X and Y: an analysis of variability

Cited by 7 publications

References 46 publications

The Influence of Social Networks on the Purchasing Behavior of Wine Consumers in Portugal

The Influence of Social Networks on the Purchasing Behavior of Wine Consumers in Portugal

Wine recommendation algorithm based on partitioning and stacking integration strategy for Chinese wine consumers

Multisensory analysis and wine marketing: systematic review and perspectives

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