Predicting success for new flavors with information known pre-launch: a flavored snack food case study

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dc.contributor.author Doan, Alisa R.
dc.contributor.author Chambers, Edgar, IV
dc.date.accessioned 2012-06-20T20:17:14Z
dc.date.available 2012-06-20T20:17:14Z
dc.date.issued 2012-06-20
dc.identifier.uri http://hdl.handle.net/2097/13948
dc.description.abstract Success in the marketplace is the goal of every product launch. Knowing what data to collect before launching a product that could predict success would be valuable to companies. Thus, the objective of this study was to determine whether success of new line extensions for a multi-flavored snack product available internationally could be predicted from information available before launch. Staff from 15 countries completed a questionnaire for each product and included questions related to authenticity, familiarity, and capturing current trends, packaging and market place issues such as product competition and pricing. Using 63 flavors, a discriminant function correctly identified 75.8% successful products as successful and 66.7% unsuccessful products as unsuccessful. Stepwise comparison determined the variables necessary to correctly categorize the snack products: being a trendy flavor, new to the category, based off foods from restaurants or traditional foods. These variables assisted in predicting in market success for this product category. en_US
dc.relation.uri http://www.sciencedirect.com/science/journal/09503293/25 en_US
dc.subject Success en_US
dc.subject Discriminant analysis en_US
dc.subject Product development en_US
dc.subject Stepwise regression en_US
dc.title Predicting success for new flavors with information known pre-launch: a flavored snack food case study en_US
dc.type Article (author version) en_US
dc.date.published 2012 en_US
dc.citation.doi doi:10.1016/j.foodqual.2012.01.005 en_US
dc.citation.epage 120 en_US
dc.citation.issue 2 en_US
dc.citation.jtitle Food Quality and Preference en_US
dc.citation.spage 116 en_US
dc.citation.volume 25 en_US
dc.contributor.authoreid eciv en_US

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