Date of this Version
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 final publication is available at Springer via http://dx.doi.org/10.1007/s11002-008-9046-1”.
preference measurement, conjoint analysis, marketing research
Netzer, O., Toubia, O., Bradlow, E. T., Dahan, E., Evgeniou, T., Feinberg, F. M., Feit, E. M., Hui, S. K., Johnson, J., Liechty, J., Orlin, J. B., & Rao, V. R. (2008). Beyond Conjoint Analysis: Advances in Preference Measurement. Marketing Letters, 19 (3/4), 337-354. http://dx.doi.org/10.1007/s11002-008-9046-1
Date Posted: 27 November 2017
This document has been peer reviewed.