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Although the early conversations of microcelebrity centered on Anglo-centric theories and context despite the varied backgrounds and cultural context of microcelebrity, this compilation of chapters seeks to assess and reframe the applications and uptake of microcelebrity around the world. Each of the chapters in this anthology contribute to expand the theoretical concept and contextualize the history and cultural affairs of those who are famous online. The case studies provide examples of how a microcelebrity emerges to fame because of their exposure and interaction within a group of niche users, a specific online community, or a specific cultural and geographical context through the social networks that emerge online. Academic scholarship on microcelebrity has crossed methodologies, disciplines and platforms demonstrating the wide appeal as the influence of these figures are on the rise. As preparation for the reader, this chapter offers a brief history of current scholarship, with an emphasis on shifting knowledge production away from an Anglo and Global North perspective. The introduction chapter serves as a road map for the reader breaking down each of the three sections of the book – norms, labors, and activism. Lastly, the co-editors have outlined different ways to read the text group chapters according to reader interest.

The purpose of this paper is to attempt to outline the standard profile of the typical wine consumer, by identifying some relevant features that can influence his/her purchasing choices. Therefore, the purpose of the research is to identify the pre-eminent attributes for wine consumers and the different levels of importance that consumers ascribe to the attributes identified at the time of purchase.

In order to collect the necessary data, an ad hoc questionnaire was utilized. The questionnaire, which was anonymous, was directly distributed with the face-to-face method. In total, 1,500 copies of the questionnaire had been prepared. The data collected were processed through the use of the binary logistic regression model and the ordinal logistic regression model. The first binary logistic regression model allows to evaluate the dependence of the dichotomous variable on some potential predictors. The ordinal logistic regression model, known in literature as a cumulative model of proportional quotas, is generally appropriate for situations in which the ordinal response variable has discrete categories.

The results returned by the elaboration of the binary logistic regression model refer to the influence of the variables sex, age, educational status and income on the “wine consumption” result, which is a dichotomous variable. The only variables found to be statistically significant are gender and educational status. The most significant variables that emerged from the implementation of the ordinary logistic regression model are gender, brand, choice based on price, place of production, harvest and certification. The analysis carried out has shown that with reference to wine as a product, it is essential to focus on several attributes, among which there are of course quality and brand.

Although field experiments are extremely useful for testing behavioral hypotheses, they are often limited by a small sample. Future research in this area might focus on the knowledge level of sustainable wine of the consumer. In relation to the knowledge of the characteristics of the wine, it is possible to estimate the willingness to pay a surplus for a wine produced with sustainable methods by the consumer and the possible level of price premium.

The originality of the research lies mainly in a deeper knowledge of wine consumption trends. This information is useful to better define the wine market and to allow, especially to small businesses, to establish effective marketing strategies in relation to the real preferences of consumers and the decision-making process of choice put in place by them. In order to achieve this, the influence of all the variables on the “satisfaction of wine consumption” result was evaluated. The strength of this paper is the use of an adequate statistical approach based on the use of models, typical of inferential statistics, to reach conclusions that can be extended to the entire population of wine growers.