...-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at Link to the terms of the CC BY 4.0 licence . Quality assurance Survey conjoint analysis cluster analysis Pig welfare Sustainability Teagasc Walsh...

... analysis. The sample of young adults was analyzed using cluster analysis, and five nutritional styles were identified. Findings The findings indicate that Generation Z (Gen Z) does not exist as a collective when it comes to food shopping and eating habits. This age group can be classified into five...

... collected throughout 2019, resulting in 467,384 recorded food choices. Households were segmented using a cluster analysis based on observed choices. Next, a variety of demographics-based statistical models were built to predict food choice segment membership. Findings Six different segments of clients...

... literature on food values and attributes of Chinese dishes to elicit Chinese consumers’ dish value structure. Then, we estimated each participant’s share of preferences for dish values and applied Ward’s linkage cluster analysis to identify the heterogeneity of their dish values. Findings Our results...

... 11 2024 21 12 2024 © Emerald Publishing Limited 2024 Emerald Publishing Limited Licensed re-use rights only Food-related lifestyles Consumer innovativeness Food neophobia Segmentation Cluster analysis Croatia The findings of this study might help marketers identify...

... Publishing Limited 2024 Emerald Publishing Limited Licensed re-use rights only Conjoint analysis Cluster analysis Consumption trends Choice attributes Consumer behavior Beer is the most widely consumed alcoholic beverage worldwide (Colen and Swinnen, 2016), thus attracting significant...

... on representative Finnish survey data (n = 1,452). Design/methodology/approach Sum variables from the principal component analysis were utilized in the cluster analysis to identify potential consumer groups of cultured proteins in Finland. A regression analysis was used to find out the explanatory...

... and vegetable consumer preferences. The data were collected in an online survey with 925 participants in France, Greece, and Italy. A principal component analysis was conducted to interpret and examine consumers' fruit and vegetable related lifestyles. In addition, a cluster analysis was performed to identify...

...Florent Govaerts; Svein Ottar Olsen Purpose This study aimed to identify and profile segments of seaweed consumers in the United Kingdom. Design/methodology/approach Hierarchical k-means cluster analysis was used to identify consumer segments based on consumers' self-identity and environmental...

..., and a non-hierarchical K-means cluster analysis was performed to identify distinct subgroups in the sample. Findings The study revealed a significant level of food waste awareness among Greek consumers. The cluster analysis identified four distinct consumer groups and substantial differences among them...

... a standardized and representative online survey among 1,604 German participants. To identify target groups for these kinds of meat products, a factor and cluster analysis was conducted. Findings The results show that ASMs are not widely known among consumers. Overall, participants evaluated ASMs positively...

... PDO areas in Italy. The authors performed a principal component analysis and a two-step cluster analysis to identify different PDO honey consumer segments, focusing on their interest for PDO attributes. Findings The authors identified four consumer segments, depending on socio-demographic...

... Emerald Publishing Limited 2022 Emerald Publishing Limited Licensed re-use rights only Functional foods Consumer behavior Cluster analysis Slovakia Food products that have specific health benefits in addition to their normal nutritional function are called functional foods...

... to the frequency of consumption. Design/methodology/approach An online survey of 251 Italians was carried out. Socio-demographic variables and environmental attributes of the product that consumers pay attention to were considered in a two-step analysis: a cluster analysis used to create a segmentation...

... component analysis (PCA) with Varimax rotation and Kaiser Normalisation was performed to interpret and investigate fruit-related lifestyles. Cluster analysis was performed to analyse market segments, using the identified factors obtained from the PCA, a hierarchical clustering algorithm with a Ward linkage...

... rights only Cluster analysis Agri-food industry Competitive strategy COVID-19 Agri-food production will increasingly be driven by global changes (Webb and Buratini, 2016) and the unexpected emergency presented by the spread of coronavirus disease 2019 (COVID-19), a novel coronavirus...

.../methodology/approach The data on demographic structure, behaviours and beliefs of 947 participants in total were obtained via a questionnaire collected online. In order to identify consumer profiles and to define their specific beliefs, a cross-country cluster analysis has been conducted. Four clusters were...

... Chinese consumers. Design/methodology/approach Data of 1,267 participants were collected from four cities in China. A five-point Likert scale was used to measure consumer preference for 12 juice attributes. Consumer trust in nine sources of information on product quality was measured. Cluster analysis...

... as their sequence. Section 4 presents the results of our cluster analysis, while section 5 discusses the results in comparison with the international literature. The last section summarizes the conclusions of our study and highlights the theoretical and societal implications of our research. Romania...

.... Design/methodology/approach The study was based on hierarchical cluster analysis, performed upon data collected from a survey to 113 shops, located in Aveiro (n = 15), Lisbon (n = 56) and Porto (n = 42). Findings The study identified three clusters of shops according...