... literature. Design/methodology/approach 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...

...Bernardo Soares Fernandes; Aurora Carneiro Zen; Vitor Klein Schmidt Purpose This study aims at identifying how the evolution of clusters influences orchestrations. It investigates the dynamic interplay between the developmental stages of clusters and the strategic orchestrations that occur within...

... = 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. Findings Among...

.../approach The empirical setting is the Conegliano Valdobbiadene Prosecco Superiore DOCG wine cluster in the Veneto region of Northeast Italy. Data was collected through the administration by telephone of a semi-structured questionnaire to 37 oenologists, sales managers, production managers and owners...

...Matteo Devigili; Tommaso Pucci; Lorenzo Zanni Purpose This paper aims to investigate the brand identity drivers used online by wineries and to assess cluster identity from the analysis of firms’ specific branding strategies. Design/methodology/approach Chianti, Chianti Classico and Brunello di...