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dc.contributor.authorDeSarbo, W. S.en_US
dc.contributor.authorAtalay, A. S.en_US
dc.contributor.authorLeBaron, D.en_US
dc.contributor.authorBlanchard, S. J.en_US
dc.date.accessioned2016-02-08T10:09:03Z
dc.date.available2016-02-08T10:09:03Z
dc.date.issued2008en_US
dc.identifier.issn0093-5301
dc.identifier.urihttp://hdl.handle.net/11693/23112
dc.description.abstractPrevious research in marketing and consumer research has shown that consumers/ households often possess multiple ideal points In a given product/service category. In such cases, traditional segmentation and positioning models that estimate a single ideal point per Individual/segment may render an Inaccurate portrayal of the true underlying utility functions of such consumers/segments and the resulting market structure. We propose a new clusterwise multiple-ideal-point spatial methodology that estimates multiple ideal points at the market segment level while simultaneously determining the market segments' composition of consumers, as well as the corresponding joint space.en_US
dc.language.isoEnglishen_US
dc.source.titleJournal of Consumer Researchen_US
dc.relation.isversionofhttps://doi.org/10.1086/529534en_US
dc.titleEstimating multiple consumer segment ideal points from context-dependent survey dataen_US
dc.typeArticleen_US
dc.departmentDepartment of Managementen_US
dc.citation.spage142en_US
dc.citation.epage153en_US
dc.citation.volumeNumber35en_US
dc.citation.issueNumber1en_US
dc.identifier.doi10.1086/529534en_US
dc.publisherOxford University Pressen_US
dc.identifier.eissn1537-5277


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