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The article aims to study the demand for sparkling wines in Europe. The main objective is to estimate the classic demand parameters aggregately for the entire European area (European Union and the United Kingdom) and separately for groups of countries characterized by wine markets with similar characteristics.

Using 15-years market data for different wine categories from the Euromonitor Passport database, the estimation of price and income elasticities is performed through a Quadratic Almost Ideal Demand System. In line with the objectives, the model is applied first to the whole European area and then separately to the considered groups of countries (subareas). To identify homogeneous subareas, a cluster analysis was performed on basic characteristics of the wine market.

When considering the European market as a whole, sparkling wines should be considered a luxury category with a high own-price elasticity. However, the structure of their demand is rather different in different sub-areas. The observed heterogeneity suggests that differentiated policy and marketing considerations should be made. In addition, it widens the possibilities for producers, who can choose the submarkets that respond best to their needs to export their sparkling wines. This seems particularly important in markets, like the sparkling wine ones, that are experiencing a continuous expansion over the last decades.

Despite using a methodology well-established to study wine and alcohol demand, the study fills a considerable gap in the literature. Although the demand for sparkling wine is growing worldwide, so far only a couple of studies have engaged in the analysis of its structure. In Europe, the largest market for sparkling wine, this kind of studies is completely lacking.

This study aims to investigate how sensory cue order, wine knowledge and visual–olfactory (V–O) congruence affect consumer’s taste perceptions of wine and their subsequent behavior.

An experiment was performed to identify the effects of sensory cue congruence and sensory cue order on wine consumers’ perceptions of wine, affective evaluations, cognitive evaluations and purchase intentions.

Wine experts exhibited positive emotional responses to congruent sensory cues in the V–O order. Experts’ enjoyment of wine’s aroma, their emotional responses, their cognitive evaluations and their purchase intentions were lower in the incongruent condition. Consumers’ negative emotions elicited by the V–O sequence were also less intense than those triggered by the olfactory–visual (O–V) sequence. Wine experts demonstrated more positive emotional responses in the V–O sensory congruent condition.

This study highlights how visual and olfactory sensory cue order, wine knowledge and sensory cue congruence interact to clarify wine-related behavioral intention. Findings reveal the roles of these factors in shaping sensory perceptions, cognitive evaluations, affective evaluations and behavior related to wine consumption.

This study holds implications for various stakeholders, including winemakers, wine businesses, restaurants and the broader hospitality industry. Wine businesses can enhance advertising effectiveness by tailoring their marketing efforts to customers’ knowledge levels and emphasizing the inherent attributes that align with individuals’ preferences. Winemakers can improve consumers’ sensory experiences by enhancing the natural color of wines. Restaurants can strive to ignite diners’ positive emotions and experiences by providing congruent information. Furthermore, sensory-driven strategies can be used in the hospitality sector to elevate customers’ positive emotions.

This study fills gaps in wine research by delineating how wine knowledge and related sensory cues can influence consumers’ sensory perceptions, cognitive evaluations, affective evaluations and behavior. These aspects have been largely overlooked in previous work.

This paper aims to mitigate the subjective nature of wine rating by introducing statistical and optimization tools for analysis, providing a unique approach not found in existing literature.

The research uses an unsupervised machine learning algorithm, k-means, to cluster wines based on their chemical characteristics, followed by the application of the PROMETHEE II multicriteria decision-making model to rank the wines based on their sensorial characteristics and selling price. Lastly, a linear programming model is used to optimize the selection of wines under different scenarios and constraints.

The study presents a method to rank wines based on both chemical and sensorial characteristics, providing a more comprehensive assessment than traditional subjective ratings. Clustering wines based on their characteristics and ranking them according to sensorial characteristics provides the user/consumer with meaningful information to be used in an optimization model for wine selection.

The proposed framework has practical implications for wine enthusiasts, makers, tasters and retailers, offering a systematic approach to ranking and selecting/recommending wines based on both objective and subjective criteria. This approach can influence pricing, consumption and marketing strategies within the wine industry, leading to more informed and precise decision-making.

The research introduces a novel framework that combines machine learning, decision-making models and linear programming for wine ranking and selection, addressing the limitations of subjective ratings and providing a more objective approach.

This study aims to provide insights into wine consumers in Hong Kong and Mainland China, and the diversity of their behavior, by investigating their motivations, consumption and purchasing behavior and segmenting the sample based on wine knowledge and frequency of consumption to identify three distinct clusters that are then profiled.

Data was collected through an online survey of wine consumers of ethnic Chinese origin residing in Mainland China and Hong Kong, using two methods of recruitment (a convenience sample from wine-related databases, a panel survey undertaken by an international market research firm). The final sample comprised 477 respondents, about equally divided among Mainland Chinese and Hong Kong wine consumers. Analysis of the data using the Statistical Package for Social Sciences for Windows (SPSS) 29 included a series of descriptive analyses, followed by a two-step cluster analysis using an Euclidean distance method.

Wine knowledge and frequency of wine consumption were relatively higher within the sample as a whole than previous studies, but three distinct consumer segments are evident. There is evidence of a democratization of wine consumption, and a greater focus on wine consumption for enjoyment in relaxed and informal settings. rather than consumption driven by health and status, occurring primarily in commercial or business settings. The dominance of red wine in this market is also declining, and intrinsic cues – specifically, prior experience of the wine – are becoming important in wine purchase decisions.

This study uses a broad sample of wine consumers to identify trends in wine consumption patterns and motivations, and purchase decision-making behavior, of Mainland Chinese and Hong Kong wine consumers. The identification of three clusters of wine consumers offers both points of comparison with previous segmentation research globally and within China, whilst also identifying scope for further research.

For a better understanding of the preferences and differences of young consumers in emerging wine markets, this study aims to propose a clustering method to segment the super-new generation wine consumers based on their sensitivity to wine brand, origin and price and then conduct user profiles for segmented consumer groups from the perspectives of demographic attributes, eating habits and wine sensory attribute preferences.

We first proposed a consumer clustering perspective based on their sensitivity to wine brand, origin and price and then conducted an adaptive density peak and label propagation layer-by-layer (ADPLP) clustering algorithm to segment consumers, which improved the issues of wrong centers' selection and inaccurate classification of remaining sample points for traditional DPC (DPeak clustering algorithm). Then, we built a consumer profile system from the perspectives of demographic attributes, eating habits and wine sensory attribute preferences for segmented consumer groups.

In this study, 10 typical public datasets and 6 basic test algorithms are used to evaluate the proposed method, and the results showed that the ADPLP algorithm was optimal or suboptimal on 10 datasets with accuracy above 0.78. The average improvement in accuracy over the base DPC algorithm is 0.184. As an outcome of the wine consumer profiles, sensitive consumers prefer wines with medium prices of 100–400 CNY and more personalized brands and origins, while casual consumers are fond of popular brands, popular origins and low prices within 50 CNY. The wine sensory attributes preferred by super-new generation consumers are red, semi-dry, semi-sweet, still, fresh tasting, fruity, floral and low acid.

Young Chinese consumers are the main driver of wine consumption in the future. This paper provides a tool for decision-makers and marketers to identify the preferences of young consumers quickly which is meaningful and helpful for wine marketing.

In this study, the ADPLP algorithm was introduced for the first time. Subsequently, the user profile label system was constructed for segmented consumers to highlight their characteristics and demand partiality from three aspects: demographic characteristics, consumers' eating habits and consumers' preferences for wine attributes. Moreover, the ADPLP algorithm can be considered for user profiles on other alcoholic products.

This paper aims to examine the convergence and divergence of business and production practices in the global wine industry, particularly focusing on Pinot Noir producers in Burgundy, New Zealand and South Africa (SA). This study explores the interplay between firm-specific factors and regional contexts to identify competitive advantage drivers among Pinot Noir producers.

This research uses a comparative analysis approach, using data from a comprehensive winery level survey. This study applies methodologies akin to value chain analysis to unravel the configuration of productive and technology/knowledge creation activities within wineries across three regions.

This analysis reveals both convergence and divergence in business and production practices among Pinot Noir producers in Burgundy, New Zealand and South Africa. Although there is a degree of convergence in marketing, distribution and competition strategies, differences exist in production practices and firms’ capabilities. Burgundy emphasizes tradition and terroir expression, contrasting with the modernization and innovation focus observed in New Zealand and South Africa. However, all regions share a commitment to quality as a competitive advantage.

This study acknowledges limitations such as the focus on a specific grape variety and regions, the absence of performance impact analysis and the need for additional variables like environmental, institutional and cultural factors and consumer preferences to provide a comprehensive understanding of industry dynamics.

The insights from this study offer practical implications for winemakers, industry stakeholders and policymakers. Producers can optimize production and marketing strategies based on regional contexts and market segments, whereas stakeholders can identify emerging trends and opportunities in the global wine market. Policymakers can develop targeted policies supporting innovation, sustainability and competitiveness.

This paper provides a unique contribution by conducting a comparative firm-level analysis across distinct wine-producing regions, shedding light on the nuanced interplay of factors shaping competitive advantage among Pinot Noir producers. This study’s comprehensive data set and methodological approach enhance understanding and offer valuable insights for industry stakeholders and policymakers.

The purpose of this paper is to identify the motives and types of wine consumers that visit Queretaro’s wine region and their relationship with wine tourism.

A survey was carried out on 384 wine tourists in the area. The data obtained from the questionnaires were analyzed using factorial and hierarchical cluster analysis, and differences between groups were identified using non-parametric tests. Additionally, semi-structured interviews were conducted with wine tourism service providers, some of whose comments and data contributed to the overall analysis of the information.

Three factors have been identified as motivating wine tourists to visit vineyards and consume wine: vineyard experience, knowledge and exploration and marketing influence or suggestions. Three groups of wine consumers were also identified, namely, knowledgeable consumers, interested consumers and novice consumers, which were differentiated by the motivations for each type of wine tourism experience they seek, as well as other activities that complement the visit experience. It concludes that as wine consumption in Queretaro and wine tourism in the region increases, so does knowledge of the drink, and this represents an opportunity for Mexico's wine-producing regions.

To expand research in the Querétaro wine region and contribute to the knowledge of wine tourism in Mexico.

The paper makes a unique contribution by focusing on the Mexican wine market, which is still in its infancy. It provides new perspectives and insights in this area of research.

In the wine industry, maintaining superior quality standards is crucial to meet the expectations of both producers and consumers. Traditional approaches to assessing wine quality involve labor-intensive processes and rely on the expertise of connoisseurs proficient in identifying taste profiles and key quality factors. In this research, we introduce an innovative and efficient approach centered on the analysis of volatile organic compounds (VOCs) signals using an electronic nose, thereby empowering nonexperts to accurately assess wine quality.

To devise an optimal algorithm for this purpose, we conducted four computational experiments, culminating in the development of a specialized deep learning network. This network seamlessly integrates 1D-convolutional and long-short-term memory layers, tailor-made for the intricate task at hand. Rigorous validation ensued, employing a leave-one-out cross-validation methodology to scrutinize the efficacy of our design.

The outcomes of these e-demonstrates were subjected to meticulous evaluation and analysis, which unequivocally demonstrate that our proposed architecture consistently attains promising recognition accuracies, ranging impressively from 87.8% to an astonishing 99.41%. All this is achieved within a remarkably brief timeframe of a mere 4 seconds. These compelling findings have far-reaching implications, promising to revolutionize the assessment and tracking of wine quality, ultimately affording substantial benefits to the wine industry and all its stakeholders, with a particular focus on the critical aspect of VOCs signal analysis.

This research has not been published anywhere else.

This study aims to compare the influence of origin types (country-of-origin – COO versus geographic indication – GI) and wine worlds (new versus old wine country – represented by Brazil and Italia, respectively) on the attitude of low-involvement Generation Z potential consumers from Brazil toward wine ads.

The authors conducted a two (COO vs GI) by two (New vs Old World) within-subject experimental design with 98 Brazilians from Generation Z. Latin square was used to systematically counterbalances the sequence in which participants were exposed to ads.

The results reveal that potential consumers’ attitudes are more positive when a COO is used in wine advertisements than when a GI is used. Besides, the consumers’ conative response is more positive when an Old World country (Italy) is used in wine ads than when New World country (Brazil) is used.

This study expands existing literature by showing that, in wine ads, COO information elicits more positive responses than GI. It also suggests a preference among potential consumers for Old over New World wines in purchase, recommendation and consumption decisions.

The wine advertisements for the market segment investigated should highlight the COO instead of geographical indication (GI). Besides, the authors point out the importance of promoting the concept of GI among low-involvement Generation Z potential consumers.

To the best of the authors’ knowledge, this is the first study to assess potential consumers’ attitudes toward wine ads, comparing COO and GI and determining which geographical cue elicits more positive consumer attitudes: origin types (COO vs GI) or wine worlds (Old vs New).

With increasing wine consumption in Armenia, both residents and inbound tourists have become attractive target groups for wine sales, which are stimulated by wine tourism activities. The objective of this explorative study is to shed light on the potential of wine tourism for rural development in Armenia.

The paper starts with a structured and interdisciplinary literature review. Based on qualitative surveys among local tour operators and wine producers, and complemented by three expert interviews, the offer of wine tourism activities in Armenia will then be analyzed.

Each of the surveyed wine producers offers wine tourism activities. Foreign tourists know little about the Armenian wine industry, however, and are interested in cultural experiences and Armenia’s breathtaking nature. Armenian wine producers need to understand the expectations of their target groups to develop or adapt their offers successfully.

Due to the explorative nature of this study, the sample size of the surveyed wineries and tour operators is small and hence not representative. In addition, only local tour operators were surveyed. The sample should be extended to include foreign tour operators and more wineries in future research projects.

Whereas first studies on the structure and competitiveness of the Armenian wine sector exist, there is no survey on the general wine tourism in Armenia and its potential to foster rural development.