Spanish wines in the US market: What attributes do US consumers look for in Spanish wines?

Areta, Álvaro; Azcaráte, Isabel Bardají; Apezteguía, Belén Iráizoz

doi:10.5424/sjar/2017154-10006

Cited by 4 publications

(1 citation statement)

References 54 publications

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“…Numerous studies have been conducted on the issue of consumer preference on wine attributes in recent years, which focus on attribute preference influencing factors (Gustafson et al, 2016;Mehta and Bhanja, 2018;Szolnoki and Hauck, 2020) and the actual impact on consumers (Areta et al, 2017;Lee and Lee, 2008;Li et al, 2022). Most of these studies use simple statistical methods or single machine learning algorithms.…”

Section: Introductionmentioning

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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Section: Introductionmentioning

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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Determining the influence of belonging to a wine protected designation of origin on profitability

Moreno Gené,

Solé Puiggené,

Gallizo Larraz

2024

Agribusiness

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To guide consumers, wineries need credible attributes about the quality of their wines and its origin. In Spain, protected designations of origin (PDO) guarantee that the wine has been produced in a certain wine region in accordance with specific and officially regulated quality criteria thus providing elements of guarantee to the consumer. The objective of this work is to determine whether the belonging of a winery to a PDO is positively or negatively related to profitability. This analysis is important because based on its results, managers will have more knowledge to decide whether a winery is interested in joining the regional PDO or not. We performed an empirical study using a random‐effects generalized least squares regression analysis, with a sample of 1182 Spanish wineries, in which we determine the relation between belonging to eight of the major Spanish PDOs and winery profitability. The results show that wineries registered in these PDOs tend to have higher levels of profitability than wineries that have opted to remain outside, with these differences being significant in five of the eight PDOs analyzed. Additionally, the regression model reveals a positive relationship between PDO membership and winery profitability in six of the eight PDOs. Furthermore, the findings suggest that in some of these PDOs small wineries benefit the most from being part of a PDO due to their difficulties in having a recognized brand in the market, while belonging to a PDO seems to be less useful for large wineries that have greater resources to build their own quality brand. On the basis of these findings, the wineries now have more information to decide whether to stay in the PDO, join it, or focus exclusively on developing their own brands [EconLit Citations: L15, L66, Q13].

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The Semiofoodscape of Wine: The Changing Global Landscape of Wine Culture and the Language of Making, Selling, and Drinking Wine

Tiefenbacher¹,

Townsend²

2019

Handbook of the Changing World Language Map

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Spanish wines in the US market: What attributes do US consumers look for in Spanish wines?

Cited by 4 publications

References 54 publications

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

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

Determining the influence of belonging to a wine protected designation of origin on profitability

The Semiofoodscape of Wine: The Changing Global Landscape of Wine Culture and the Language of Making, Selling, and Drinking Wine

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