Measuring Preferences: from Conjoint Analysis to Integrated Conjoint Experiments
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidad Pablo de Olavide
2010
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| _version_ | 1876452768629129216 |
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| author | José Manuel Ramírez-Hurtado |
| author_facet | José Manuel Ramírez-Hurtado |
| contents | Measuring Preferences: from Conjoint Analysis to Integrated Conjoint Experiments José Manuel Ramírez-Hurtado Economía y Finanzas preferences Conjoint Analysis Hierarchical Information Integration When 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, proposed by Oppewal et al. (1994), is applied in this work for the selection of mobile phones. 2010 artículo científico 1886-516X https://www.redalyc.org/articulo.oa?id=233116357003 en http://www.redalyc.org/revista.oa?id=2331 Revista de Métodos Cuantitativos para la Economía y la Empresa application/pdf Universidad Pablo de Olavide Revista de Métodos Cuantitativos para la Economía y la Empresa (España) Vol.9 |
| format | Artículo científico |
| id | redalyc_233116357003 |
| institution | Redalyc |
| language | en |
| publishDate | 2010 |
| publisher | Universidad Pablo de Olavide |
| spellingShingle | Measuring Preferences: from Conjoint Analysis to Integrated Conjoint Experiments José Manuel Ramírez-Hurtado Economía y Finanzas preferences Conjoint Analysis Hierarchical Information Integration Measuring Preferences: from Conjoint Analysis to Integrated Conjoint Experiments José Manuel Ramírez-Hurtado Economía y Finanzas preferences Conjoint Analysis Hierarchical Information Integration When 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, proposed by Oppewal et al. (1994), is applied in this work for the selection of mobile phones. 2010 artículo científico 1886-516X https://www.redalyc.org/articulo.oa?id=233116357003 en http://www.redalyc.org/revista.oa?id=2331 Revista de Métodos Cuantitativos para la Economía y la Empresa application/pdf Universidad Pablo de Olavide Revista de Métodos Cuantitativos para la Economía y la Empresa (España) Vol.9 |
| title | Measuring Preferences: from Conjoint Analysis to Integrated Conjoint Experiments |
| topic | Economía y Finanzas preferences Conjoint Analysis Hierarchical Information Integration |
| url | https://www.redalyc.org/articulo.oa?id=233116357003 |