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dc.contributor.authorRamírez-Hurtado, José Manuelen
dc.date.accessioned2012-06-20T09:57:22Z-
dc.date.available2012-06-20T09:57:22Z-
dc.date.issued2010-
dc.identifier.citation|aRevista de Métodos Cuantitativos para la Economía y la Empresa|c1886-516X|v09|nUniversidad Pablo de Olavide|lSevilla|y2010|p28-43en
dc.identifier.urihttp://hdl.handle.net/10419/59079-
dc.description.abstractWhen there are many attributes, experiments with Conjoint Analysis include problems of information overload that affect the validity of such experiments. The impact of these problems can be avoided or reduced by using Hierarchical Information Integration (HII). The present work aims to demonstrate how the integrated experiments can resolve the limitations arising in Conjoint Analysis and HII, and to further establish ways to proceed in these types of situations. A variation of Louviere's (1984) original HII model, roposed by Oppewal et al. (1994), is applied in this work for the selection of mobile phones.en
dc.language.isoengen
dc.publisher|aUniversidad Pablo de Olavide |cSevillaen
dc.subject.jelC35en
dc.subject.jelC99en
dc.subject.jelL63en
dc.subject.ddc330en
dc.subject.keywordConjoint Analysisen
dc.subject.keywordHierarchical Information Integrationen
dc.subject.keywordpreferencesen
dc.titleMeasuring preferences: From conjoint analysis to integrated conjoint experiments-
dc.typeArticleen
dc.identifier.ppn64527027Xen
dc.rights.licensehttp://creativecommons.org/licenses/by-sa/3.0/es/en
econstor.citation.journaltitleRevista de Métodos Cuantitativos para la Economía y la Empresaen
econstor.citation.issn1886-516Xen
econstor.citation.volume09en
econstor.citation.publisherUniversidad Pablo de Olavideen
econstor.citation.publisherplaceSevillaen
econstor.citation.year2010en
econstor.citation.startpage28en
econstor.citation.endpage43en

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