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Among the growing interest towards market segmentation and targeted marketing, the current study adopted a scientometric approach to examine the literature on wine selection and preferences. The current review specifically attempts to shed light on the research that explores the determinants of wine preferences at multiple levels of analysis.

CiteSpace was used to compute a Document Co-Citation Analysis (DCA) on a sample of 114,048 eligible references obtained from 2,846 publications downloaded from Scopus on 24 May 2021.

An optimized network of 1,505 nodes and 4,616 links was generated. Within the network, impactful publications on the topic and thematic domains of research were identified. Specifically, two thematic macro-areas were identified through a qualitative analysis of papers included in the 7 major clusters. The first one - “Methods of Wine Making” - included clusters #0, #3, #5, #6 and #18. The second one - “Consumers' Attitudes and Preferences Towards Wine” - included clusters #1 and #2. The first thematic macro-area included more technical aspects referring to the process of wine making, while the second thematic macro-area focused more on the factors influencing individuals' preferences and attitudes towards wine. To reflect the aims of the current paper, publications giving light to the “Consumers' Attitudes and Preferences Towards Wine” macro-area were analyzed in detail.

The resulting insights may help wine makers and wine sellers optimize their work in relation to market segments and to the factors influencing individuals' purchasing behaviors.

The purpose of this paper is to provide further insight into Chinese wine consumers’ preference, grasp the regional sensory preference differences of China and build up a predictive model for wine consumers’ sensory preferences.

The study involved 3,421 Chinese wine consumers in the survey. Classified statistics were conducted to excavate regional differences of wine consumers’ sensory preferences. By analyzing influencing factors, prediction models for consumers’ sensory attribute preferences were constructed on the basis of multivariate disorder logistic regression method.

Empirical research showed that the wine with the following sensory attributes was the most preferred by Chinese consumers: dry red, refreshing and soft taste, still type, moderate aroma degree and mellow aroma, and sweet wine was also popular. Consumers’ preference varied from region to region. The proposed predicting method of the study realized more than 70 percent accuracy when conducting prediction for color, sweetness, aroma type and flavor preferences.

By shedding light on the latest sensory attribute preferences of Chinese wine consumers, this study will help wine industry participants conduct market segmentation based on the diversification of consumers’ preferences. The wine enterprises can gain guidance from the results to conduct market positioning, adjust strategies and provide specific production for target wine consumers.

Based on the actual situation of Chinese wine market, this study defines sensory attribute indexes of wine from the perspective of wine consumers and presents the most recent comprehensive research on the sensory preferences of Chinese wine consumers through a nationwide survey.

The purpose of this paper is to assess whether or not electroencephalography (EEG) provides a valuable and substantial contribution to the prediction of consumer behaviour and their preferences during product consumption. In this study, the authors especially focus on individual preferences during a wine tasting experience.

A consumer neuroscience experiment was carried out with 26 participants that evaluated different red wines while their brain activity was recorded with EEG. A within-subjects design was employed and the experiment was carried out in two sessions. All participants took part in a blind taste session (no label session), in which information about the wine was not disclosed, and a normal taste session (label session), during which the bottle and its label were visible.

The findings suggest that EEG is a useful tool to study brain activity during product experience. EEG has high temporal resolution, low costs, small dimensions and superior manoeuvrability compared to other consumer neuroscience tools. However, it is noticed that there is a lack of solid theoretical background regarding brain areas (e.g. frontal cortex) and brain activity (e.g. brain waves) related to consumer preferences during product experience. This lack of knowledge causes several difficulties in replicating and validating the findings of other consumer neuroscience experiments for studying consumer behaviour.

The experiment presented in this paper is an exploratory study. It provides insights into the possible contribution of EEG data to the prediction of consumer behaviour during product experience.

The purpose of this paper is to investigate buyers' perceptions and preferences for three different packaging formats of low-priced wines existing in the Chilean market: Brick Liquid Carton, Traditional Glass Bottle (0.75 L), and Magnum Glass Bottle (1.5 L). Since differences between these packaging formats do not permit a comparison of intrinsic packaging attributes, a consumer-centered perspective was adopted, with consumption occasion, perceived packages properties and demographic characteristics used as explanatory variables.

Data were collected through the administration of an online structured questionnaire. The study sample consisted of 433 low-income wine buyers who declared to buy low-priced wine in different package formats.

Findings reveal that preferences for different packaging options of low-priced wines vary depending on consumption occasion and that there are marginal effects of gender and age on these preferences. Also, results show that buyers' associations of different formats to relevant features are not equal, with perceived differences observed not only in features related to intrinsic package properties but also in terms of the properties of the wine they contain.

The results of this study have several implications for managers in the wine industry. First, and as preferences for alternative formats depend on the consumption occasion, marketing campaigns reinforcing these preferences or showing alternative occasions can be adopted. Second, the BLC format seems to be more accepted by younger consumers, and thus focusing on this segment can be a good alternative for companies selling wine in this format. Finally, firms selling wine in alternative package formats should try to educate or inform consumers about the marginal or null impact of packages on wine properties.

The study sheds light on the perceptions and preferences for alternative package formats within the wine industry, a topic that has been scantly explored. Specifically, it provides valuable marketing insights regarding the impact of consumption occasion on these preferences and the main features associated with the studied formats.

Conjoint analysis has become an increasingly popular approach to estimate the benefits derived from the attributes of a product. This decompositional method provides information about the structure of consumers' preferences, as obtained from the overall judgement of a set of alternative products defined as a combination of levels of different attributes. A two‐Limit Tobit Model approach for conjoint analysis has been used to examine and compare wine attribute preferences within and between different retail outlets (wine shops, direct‐from‐producer and supermarkets) in two Spanish regions: Aragon and Navarre. Three attributes have been used in the conjoint design: price, origin and vintage year. Among these attributes, price is the principal aspect for consumers who buy in wine shops, origin is the most important attribute for supermarket buyers and grape vintage has more utility for buyers who obtain wine directly from the producer. Finally, three wine consumer segments have been identified and characterised in the two regions.

This study aims to identify the preferences of wine consumers based on age cohorts to identify differences in consumption from a developing country perspective, with a predominantly younger population, to determine wine consumption longevity.

The target population was wine consumers in South Africa. Through convenience sampling, the data were collected in 2020 via a self-administered online questionnaire. In total, 20,997 fully completed the questionnaire. The age categories of the respondents were assigned to a particular age cohort to differentiate the market.

The age cohorts revealed five cohorts, namely, Gen Z: 18–24 years (11%); Young Gen Y: 25–34 years (32%); Mature Gen Y: 35–44 years (25%); Gen X: 45–54 years (17%); and Baby boomers: 55+ years (15%). Segmenting South African wine consumers based on their age cohorts revealed statistically significant differences based on their socio-demographics, wine preferences and consumption behavior. A typology of domestic wine consumers is consequently proposed: basic, budget conscious and image-oriented wine drinking Gen Z’s; experimenting and enjoyment-oriented wine drinking Young Gen Y-ers; aspirational and purposive wine drinking Mature Gen Y-ers; ritual-oriented, avid and conspicuous wine drinking Gen X-ers; and conservative, value-seeking and experienced wine drinking Baby Boomers.

This knowledge has important marketing implications and can create a greater appreciation for South African wines among the different age cohorts. The research shows the value of the generational theory in understanding wine consumers’ consumption and highlights the importance of analyzing different generations rather than solely focusing on one, as this could lead to mismanagement of resources.

This is one of the most comprehensive national surveys aimed at the South African wine consumer. The research fills the current literature gap regarding the characteristics of the different age cohorts and shows how wine consumption and preferences may change over time.

The main purpose of this study is to analyze how consumers’ visual attention to wine label design correlates with their preferences. Accordingly, this study uses quantitative eye-tracking metrics to understand which design proposal has greater visual salience. A more specific objective was to assess which design proposal was preferred to be marketed.

The experiment involved evaluating of three different labeling proposals of an Italian winery. Infrared eye-tracking was used to measure implicit eye movements on the three bottles displayed, simultaneously, on a computer screen. A generalized linear model was used to test how consumers' visual attention to wine label design correlated with their preferences.

The design proposals were evaluated significantly differently, with one set being preferred. In general, a strong positive relationship was found between pausing to peruse a specific design proposal and making an explicit choice of the same bottle.

The main limitation of the experiment concerns the sample interviewed. As the sample is homogeneous, the results may not be generalizable to other segments. Furthermore, the addition of electroencephalographic devices that monitor brain activity could provide crucial information for understanding consumer behavior during the purchase decision-making process.

Eye-tracking methods could be useful for designers and wine producers during the evaluation process of design projects.

The use of eye-tracking for evaluating design proposals before placing a product on the market is relatively novel. This method provides objective, quantitative and predictive information on consumer preferences contributing guidelines to designers and marketers during the product conception phase.

The purpose of this paper is to analyse the “region-of-origin” effect in the purchase of cava, a sparkling wine. Cava is a multiregional designation of origin: although it is a product typical of a particular Spanish region (Catalonia), it is also produced in other regions in Spain.

The technique of conjoint analysis is used to identify the structure of the preferences of cava consumers, and to evaluate how that structure is affected by the inclusion of a message that highlights the regional origin of the product. A survey was conducted among 473 wine buyers in the region of Extremadura (Spain).

The main findings show that the “region-of-origin” effect is significant for the regional buyer of this type of wine, and that the sales of regional brands of cava would be greater if their regional origin were emphasized by indicating the location of the producer in a prominent place on the label. Moreover, three segments of purchasers differentiated by their preference structure are identified.

The novelty of the study lies in the fact that this PDO is a multiregional designation of origin, and that the technique used, conjoint analysis, is applied not only to determine the buyer’s preference structure, but also to evaluate how that structure is affected when the regional origin of the product is highlighted in the message to the purchaser. This study is of value to academic researchers, wineries managers, and regional governments as it highlights important aspects to design marketing strategies and trade policies.

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 scenario of clean wines is rather articulated, and many consumers perceive diverse types of wines as a homogeneous category, not actually related with the true characteristics of the products. Additionally, most often, individuals turning to these wines are driven either by health concerns or environmental consciousness or by curiosity. The purpose of this study is to understand whether there are differences in monetary preferences for four distinct clean labels and to analyze the level of interest of diverse market segments of regular wine consumers for this specific category of wines.

This study applied a computer-assisted Web interviewing technique. A survey was administrated in mid-September 2021 by a professional panel provider to a quota-based sample (N = 1,113) of Italian regular wine consumers. Individual willingness-to-pay (WTP) for red wines carrying different claims (organic, natural, low-sulfites and no-additives) and a conventional counterpart were collected. Clean wines’ WTP were subsequently used for hierarchical clustering.

Among the clean labels presented, respondents reported a higher WTP for organic wine. Cluster analysis yielded three actionable segments: “Easygoing wine enjoyers” (63.7%), “Convenience drinkers” (13.4%) and “Clean wine passionate” (23%). The latter reveals high preferences for all the investigated clean wines.

Sociodemographics and wine-related characteristics of regular wine consumers particularly interested in clean wines are depicted in this study; further analysis should delve on the core drivers of individual preferences.

Wineries should consider the heterogeneous interest of regular wine consumers for clean wines, developing tailored strategies for specific market segments. Stakeholders interested in safeguarding consumers should carefully monitor the landscape of different clean claims entering the wine market.

To the best of the authors’ knowledge, no previous study has simultaneously analyzed regular wine consumers’ preferences for the four types of clean labels.