...” and “added” types, for three different food product types (bread, processed meat, ready meals). Data were analyzed using latent class cluster analysis, to explore segments of consumers that place similar importance to the food characteristics and hold similar food choice motives. Findings Clean eating...

... techniques, between latent class cluster analysis (LCCA) and traditional cluster analysis (CA), for precise segmentation. Design/methodology/approach Best–worst scaling (BWS) method was applied to measure the level of relative importance of organic rice attributes. Then, LCCA and CA techniques were...

... assign when choosing cask wine. Then, a latent class clustering analysis based on the importance ratings of the attributes was applied in order to segment the Greek cask wine market. Findings The most important attributes were found to be price, quality and convenience packaging, whereas brand, grape...