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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.

This study aims to identify the decision-making process involved in the purchase of organic wine from consumer values to attitudes to behavioural intention towards organic wine via the value–attitude–behaviour (VAB) model. Involvement in wine is also taken into consideration.

The data were collected using a snowball sampling method and a closed-ended questionnaire. A total of 209 responses were analysed. Linear regression and PROCESS Macro on SPSS were used to perform data analysis.

Both biospheric-altruistic values and egoistic values are positively associated with attitudes towards organic wine. Attitude is found to mediate the relationship between biospheric-altruistic/egoistic values and behavioural intention. Egoistic values are found to significantly predict behavioural intention in the organic wine purchase context. Involvement was found to moderate the relationship between egoistic values and attitudinal loyalty.

This study identifies the decision-making hierarchy from consumer values to attitudes to behavioural intention, theoretically confirming the robustness of the VAB model in the organic wine consumption context. It also makes a practical contribution by indicating the marketing emphasis of organic wine and segmenting potential consumers according to their values and levels of wine involvement.

This paper aims to explore the emerging wine market of Ukraine. Specifically, the study examines Ukrainian consumer attitudes toward local wines and provides profiles of various groups of local wine consumers.

Data were collected via an online survey of Ukrainian wine consumers (N = 325). Factor and cluster analyses were performed to assess general attitudes toward local wine. Descriptive statistics and analyses of differences (t-tests and chi-square tests) were also used for further data exploration.

The findings indicate that quality perceptions, price sensitivity and reputation play a vital role in shaping local consumers’ attitudes toward Ukrainian wine. Three distinct consumer segments were identified. Local Skeptics exhibit reserved opinions about local wine. Local ambassadors show the highest level of enthusiasm and support for local wines. Local non-connoisseurs are the least involved and knowledgeable about wine; thus, their opinions about the local wine industry are not formed yet. This is the group that merits the utmost attention from wine marketers.

To the best of the authors’ knowledge, this paper is the first research attempt to identify different types of wine consumers based on their attitudes and perceptions toward local wines in Ukraine.

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.

The significance of fungus-resistant grape varieties (FRGVs) has markedly increased across the entire value chain in recent years, becoming increasingly pertinent for the wine industry. The study contributes to the theoretical understanding of consumer behaviour in the wine industry through the identification of different clusters and the analysis of their accessibility to the FRGV on the basis of various criteria.

A quantitative survey was conducted involving 644 participants that was screened based on socio-demographic factors to ensure representation of the German population. The collected data were analysed using factor and cluster analyses, alongside various multivariate tests, to statistically elucidate similarities and differences between clusters.

In total, six clusters were examined, each displaying varying responses to and pre-existing knowledge of resistant grape varieties. In general, as one becomes more involved in the world of wine and develops a sustainable and progressive outlook towards innovations in the wine industry, a positive inclination towards resistant grape varieties can be observed.

Practical implications for each cluster were subsequently derived, potentially facilitating the market entry or penetration of wines produced from FRGV. Experts and Quality-averse consumer desire wines from FRGV to have a unique terroir experience, while young casual drinkers interpret them as part of pop culture. LOHAS can be addressed with sustainability-oriented approaches. Price-sensitive consumer expect good qualities in the entry price segment, and Traditionalists can be reached by preserving traditions in a changing environmental context.

This paper fulfils the identified need to investigate consumer preferences for resistant grape varieties.

With the rise in wine consumption, accurate wine price forecasts have significantly impacted restaurant and hotel purchasing decisions and inventory management. This study aims to develop a precise and effective wine price point and interval forecasting model.

The proposed forecast model uses an improved hybrid kernel extreme learning machine with an attention mechanism and a multi-objective swarm intelligent optimization algorithm to produce more accurate price estimates. To the best of the authors’ knowledge, this is the first attempt at applying artificial intelligence techniques to improve wine price prediction. Additionally, an effective method for predicting price intervals was constructed by leveraging the characteristics of the error distribution. This approach facilitates quantifying the uncertainty of wine price fluctuations, thus rendering decision-making by relevant practitioners more reliable and controllable.

The empirical findings indicated that the proposed forecast model provides accurate wine price predictions and reliable uncertainty analysis results. Compared with the benchmark models, the proposed model exhibited superiority in both one-step- and multi-step-ahead forecasts. Meanwhile, the model provides new evidence from artificial intelligence to explain wine prices and understand their driving factors.

This study is a pioneering attempt to evaluate the applicability and effectiveness of advanced artificial intelligence techniques in wine price forecasts. The proposed forecast model not only provides useful options for wine price forecasting but also introduces an innovative addition to existing forecasting research methods and literature.

This study aims to fill various gaps detected in the literature on mass prestige (hereafter referred to as masstige) theory. The originality of the work stems from the multidimensional application of Paul’s (2015) model, the introduction of brand addiction as a construct from the consumer-brand relationship (CBR) theory within the context of wines and the exploration of a new and less studied sector in masstige strategies.

A structured questionnaire was distributed to collect data from masstige wine brand buyers in Portugal, of whom 166 completed the questionnaire correctly. A conceptual model was developed and tested using partial least squares structural equation modelling.

The findings include that only two dimensions of Paul’s (2015) masstige scale affect brand addiction: brand knowledge and excitement and status. Brand addiction has a positive effect on brand loyalty and electronic word of mouth (eWOM), and brand loyalty has a positive impact on eWOM. Theoretical and managerial implications were explored.

This research added a CBR perspective to masstige theory and applied masstige theory to wine brands for the first time. These three distinctive aspects collectively contribute to the novelty and significance of the research, opening up exciting possibilities for future investigations and providing a valuable contribution to the academic community and the wine industry alike.

This study aims to further develop the CLC stage/path’s identification model that distinguishes between path’s emergence (emergence stage), path’s development (growth stage), path’s sustainment (maturity stage), path’s decline (decline stage) and path’s transformation (renewal stage), and by applying it, define the current stage/path of the Demarcated Douro Region (DDR) cluster. The Port wine industry, which is the dominant industry of the DDR cluster, is at the maturity/decline stage – is the same for the cluster itself?

It is a case study with a longitudinal perspective based on the analysis of the dynamics of the parameters of cluster evolution using available secondary sources (cluster identity/brand; number of firms; number of employees; network; innovation; policies and regulations; and external markets – exports), especially addressing the past decade, that represent the stage of maturity/decline of the cluster’s dominant Port wine industry.

The conclusion is that since the 1990s the Demarcated Douro Region has gone through a “path transformation” where during the following 20 years new “anchors” for the cluster were gradually introduced, such as Doc Douro Wines, new forms of consumption of Port wine, tourism and olive oil. Since 2010 the cluster has entered a growth stage/(new) path’s development, where these “anchors” are in steady growth. The Douro brand is becoming more internationally recognized and established, the number of firms and employees is increasing, the network is restructuring with the creation of cluster-specific official institutions, innovation is especially reflected with increasing heterogeneity through diversification of the clusters into new activities and regulations and policies are supportive for expansion – all these parameters are indicating the rise of the new cycle for the cluster. Thus, the DDR cluster represents an attractive business environment and requires attention from regional policymakers to support the cluster’s development. Especially institutions have been highlighted as internal factors driving clusters growth, European integration as an external factor and firms’ strategies of diversification and internationalization as an appropriate de-locking mechanism for new path’s development.

This research contributes to the CLC theory by further developing and applying a CLC stage/path identification model. It provides a better understanding of the dynamics of the DDR cluster that diverge from its dominant industry life cycle, which is relevant for regional policies and firms’ strategies. This study has its limitations. It provides an exploratory application of the theoretical framework proposed, and consequently, no general conclusions are possible yet. More empirical studies with different clusters in different stages are necessary to test the framework.

These findings are useful to policymakers when designing their policies for cluster development but also for clusters’ entities and actors when making their strategic decisions as it allows based on the verification of the established parameter of CLC to identify its current stage/path of development.

The paper presents a theoretically grounded model for CLC identification and for the first time to the best of the authors’ knowledge applies it to a cluster case – the DDR cluster. This case applies the proposed model and illustrates its usefulness. The model provides the tools for a better understanding of cluster dynamics.

Understanding the role of emotion, landscape, involvement and storytelling related to wine is the basis for understanding the wine tourist experience. The purpose of this study is to analyze the validity and reliability of the wine experience scale in Spain.

The scale validation comprised translation, cultural adaptation and validity, in which 250 wine tourists (45.6% male and 54.4% female) from 17 Spanish wineries participated. Data was collected on different days during three consecutive months. To carry out the analyses, IBM SPSS and JASP software were used.

The statistical procedures used allowed the verification of psychometric properties as well as adjustment indices and reliability measures. The analyses carried out retained 16 items and ensured grouping into four factors: wine storytelling, wine involvement, winescape and wine tasting excitement.

By providing this instrument, it will be possible to create a promising path of commercial knowledge. Its application will contribute to establishing a more accurate profile of wine tourists and, simultaneously, to adapting a sustainable tourist offer.

This research focuses on analysing the effect of wine tourism on green product and process innovations developed by Spanish wineries. In addition, age, size and membership in a protected designation of origin (PDO) are introduced as control variables to increase the precision of the cause–effect relationship analysed.

The study proposes a conceptual model based on previous studies, which is tested using structural equations (partial least squares structural equation modelling [PLS-SEM]) with data collected from 202 Spanish wineries.

The research results show that wine tourism activity has a positive and significant influence on green product and process innovation.

The research contributes to the academic literature in several ways. First, the study advances knowledge and understanding of the benefits generated by wine tourism. Second, the research contributes to the literature that analyses the wine tourism–sustainability link, since it is predicted that this type of tourism can increase the capacity for green innovation. Third, to the best of the authors’ knowledge, there is no previous research that has analysed wine tourism as a catalytic variable for green innovation. Fourth, the proposed theoretical model has not been previously addressed in the academic literature, so the study represents an important advance in scientific knowledge.