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Mamede,Maria Eugênia de Oliveira; Kalschne,Daneysa Lahis; Santos,Adriana Pereira Coelho; Benassi,Marta de Toledo. |
Mixed flavor beverages represent a trend that is gaining the allegiance of potential fruit juice consumers. The present study proposed to prepare mixed flavor beverages and verify their consumer acceptance. Cajá beverage (sample A) was used as the standard. The other beverages were prepared by mixing the cajá-flavored product with other flavors: strawberry (B), pineapple (C), jabuticaba (D), mango (E) and cashew (F). The consumer profiles in the two regions studied were similar. Overall beverages B, A and F were the most accepted, with scores of 7.7, 6.4 and 6.2, respectively. Internal Preference Mapping showed that most of the consumers were located near beverages A, B and F, confirming the acceptance results. The consumers indicated appearance and flavor... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Consumer segmentation; Physical and chemical characteristics; Strawberry; Cashew; Internal preference mapping. |
Ano: 2015 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612015000100143 |
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Resano, H.; Sanjuan, Ana Isabel. |
The overall acceptability of 202 consumers has been analysed by ANOVA, multiple means comparison, cluster analysis and internal preference mapping (MDPREF). Three clusters are found with different preference criteria. These clusters can also be characterized according to actual purchase behaviour, declared consumption habits and sociodemographic characteristics. This study demonstrates the importance for the agro-food industry of examining consumers’ individual preferences as well as average ones, to obtain relevant information including not only the consumers’ preference trends, but also the most suitable segment to target a new product. In this way, the MDPREF shows that although consumers’ preferences tend to Iberian hams over white-breed hams, there is... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Internal preference mapping; Acceptability; Cluster analysis; Demand and Price Analysis. |
Ano: 2008 |
URL: http://purl.umn.edu/44402 |
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