Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/59079
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dc.contributor.authorRamírez-Hurtado, José Manuelen_US
dc.date.accessioned2012-06-20T09:57:22Z-
dc.date.available2012-06-20T09:57:22Z-
dc.date.issued2010en_US
dc.identifier.citation|aRevista de Métodos Cuantitativos para la Economía y la Empresa |c1886-516X |v9 |y2010 |p28-43en_US
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_US
dc.language.isoengen_US
dc.publisher|aUniversidad Pablo de Olavide |cSevillaen_US
dc.subject.jelC35en_US
dc.subject.jelC99en_US
dc.subject.jelL63en_US
dc.subject.ddc330en_US
dc.subject.keywordConjoint Analysisen_US
dc.subject.keywordHierarchical Information Integrationen_US
dc.subject.keywordpreferencesen_US
dc.titleMeasuring preferences: From conjoint analysis to integrated conjoint experimentsen_US
dc.typeArticleen_US
dc.identifier.ppn64527027Xen_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen_US

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