Measuring preferences: From conjoint analysis to integrated conjoint experiments

Artikel

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, roposed by Oppewal et al. (1994), is applied in this work for the selection of mobile phones.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Journal: Revista de Métodos Cuantitativos para la Economía y la Empresa ; ISSN: 1886-516X ; Volume: 09 ; Year: 2010 ; Pages: 28-43 ; Sevilla: Universidad Pablo de Olavide

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Multiple or Simultaneous Equation Models: Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions ; Design of Experiments: Other ; Microelectronics; Computers; Communications Equipment
• Thema: Conjoint Analysis ; Hierarchical Information Integration ; preferences

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Ramírez-Hurtado, José Manuel
• Ereignis: Veröffentlichung
• (wer): Universidad Pablo de Olavide
• (wo): Sevilla
• (wann): 2010

Weitere Informationen

• Handle: http://hdl.handle.net/10419/59079
• Letzte Aktualisierung: 10.03.2025, 11:42 MEZ