Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/5545
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dc.contributor.authorTavares, Susana-
dc.contributor.authorCardoso, Margarida G. M. S.-
dc.contributor.authorDias, José G.-
dc.date.accessioned2013-09-10T11:37:06Z-
dc.date.available2013-09-10T11:37:06Z-
dc.date.issued2010-07-
dc.identifierhttp://dx.doi.org/10.2501/S1470785309201430-
dc.identifier.citationTavares, S., Cardoso, M., & Dias J. G. (2010). The heterogeneous best-worst choice method in market research. International Journal of Market Research, 52(4), 533-546. http://dx.doi.org/10.2501/S1470785309201430-
dc.identifier.issn1470-7853por
dc.identifier.urihttp://hdl.handle.net/10071/5545-
dc.descriptionWOS:000280441000009 (Nº de Acesso Web of Science)-
dc.description.abstractThe article presents a market research technique for obtaining information on consumer preferences, called the heterogeneous best-worst (HBW) choice method. It accounts for preference heterogeneity, making it more accurate than the direct method (DM), and causes less information overload than other indirect methods. An example involving undergraduates picking a business school is presented to illustrate how the HBW choice method operates. It is demonstrated that the HBW and DM approaches produce very similar results, but the HBW method allows for more differentiation of extreme preferences.por
dc.language.isoengpor
dc.publisherThe Market Research Societypor
dc.rightsopenAccesspor
dc.titleThe heterogeneous best-worst choice method in market researchpor
dc.typearticle-
dc.pagination533-546por
dc.publicationstatusPublicadopor
dc.peerreviewedSimpor
dc.relation.publisherversionThe definitive version of this paper is available at: http://dx.doi.org/10.2501/S1470785309201430por
dc.journalInternational Journal of Market Researchpor
dc.distributionInternacionalpor
dc.volume52por
dc.number4por
dc.subject.fosDomínio/Área Científica::Ciências Sociais::Economia e Gestão-
Aparece nas coleções:BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica

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