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Journal article
Beyond conjoint analysis: Advances in preference measurement
Marketing letters, v 19(3-4), pp 337-354
01 Dec 2008
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
We identify gaps and propose several directions for future research in preference measurement. We structure our argument around a framework that views preference measurement as comprising three interrelated components: (1) the problem that the study is ultimately intended to address; (2) the design of the preference measurement task and the data collection approach; (3) the specification and estimation of a preference model, and the conversion into action. Conjoint analysis is only one special case within this framework. We summarize cutting edge research and identify fruitful directions for future investigations pertaining to the framework's three components and to their integration.
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Details
- Title
- Beyond conjoint analysis: Advances in preference measurement
- Creators
- Oded Netzer - Columbia UniversityOlivier Toubia - Columbia UniversityEric T. Bradlow - University of PennsylvaniaEly Dahan - University of California, Los AngelesTheodoros Evgeniou - INSEADFred M. Feinberg - Ross SchoolEleanor M. Feit - Ross SchoolSam K. Hui - New York UniversityJoseph Johnson - University of Miami*John C. Liechty - Pennsylvania State UniversityJames B. Orlin - Massachusetts Institute of TechnologyVithala R. Rao - Cornell University
- Publication Details
- Marketing letters, v 19(3-4), pp 337-354
- Publisher
- Springer Nature
- Number of pages
- 18
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Marketing
- Web of Science ID
- WOS:000260250300011
- Scopus ID
- 2-s2.0-54149087628
- Other Identifier
- 991019189075704721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Business