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.
The definitive, published version of this article may be found at www.springerlink.com.
Netzer, Oded, Olivier Toubia, Eric Bradlow, Ely Dahan, Theodoros Evgeniou, Fred Feinberg, Eleanor Feit, Sam Hui, Joseph Johnson, John Liechty, James Orlin, and Vithala Rao. "Beyond Conjoint Analysis: Advances in Preference Measurement." Marketing Letters 19, no. 3 (2008): 337-354.
Each author name for a Columbia Business School faculty member is linked to a faculty research page, which lists additional publications by that faculty member.
Each topic is linked to an index of publications on that topic.