Beyond conjoint analysis: Advances in preference measurement

Oded Netzer; Olivier Toubia; Eric T. Bradlow; Ely Dahan; Theodoros Evgeniou; Fred M. Feinberg; Eleanor M. Feit; Sam K. Hui; Joseph Johnson; John C. Liechty; James B. Orlin; Vithala R. Rao

doi:10.1007/s11002-008-9046-1

Beyond conjoint analysis: Advances in preference measurement

Oded Netzer, Olivier Toubia, Eric T. Bradlow, Ely Dahan, Theodoros Evgeniou, Fred M. Feinberg, Eleanor M. Feit, Sam K. Hui, Joseph Johnson, John C. Liechty, James B. Orlin, Vithala R. Rao

Research output: Contribution to journal › Article › peer-review

85 Scopus citations

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.

Original language	English (US)
Pages (from-to)	337-354
Number of pages	18
Journal	Marketing Letters
Volume	19
Issue number	3-4
DOIs	https://doi.org/10.1007/s11002-008-9046-1
State	Published - Dec 2008

All Science Journal Classification (ASJC) codes

Business and International Management
Economics and Econometrics
Marketing

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title = "Beyond conjoint analysis: Advances in preference measurement",

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.",

author = "Oded Netzer and Olivier Toubia and Bradlow, {Eric T.} and Ely Dahan and Theodoros Evgeniou and Feinberg, {Fred M.} and Feit, {Eleanor M.} and Hui, {Sam K.} and Joseph Johnson and Liechty, {John C.} and Orlin, {James B.} and Rao, {Vithala R.}",

year = "2008",

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doi = "10.1007/s11002-008-9046-1",

language = "English (US)",

volume = "19",

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TY - JOUR

T1 - Beyond conjoint analysis

T2 - Advances in preference measurement

AU - Netzer, Oded

AU - Toubia, Olivier

AU - Bradlow, Eric T.

AU - Dahan, Ely

AU - Evgeniou, Theodoros

AU - Feinberg, Fred M.

AU - Feit, Eleanor M.

AU - Hui, Sam K.

AU - Johnson, Joseph

AU - Liechty, John C.

AU - Orlin, James B.

AU - Rao, Vithala R.

PY - 2008/12

Y1 - 2008/12

N2 - 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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Beyond conjoint analysis: Advances in preference measurement

Abstract

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