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Choosing Optimal Designs for Pair-Wise Metric Conjoint Experiments

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Authors
Kim, Jin-Gyo
Issue Date
2004-06
Publisher
College of Business Administration (경영대학)
Citation
Seoul Journal of Business, Vol.10 No.1, pp. 65-79
Keywords
Conjoint AnalysisOptimal Experimental Designpair-wise metric comparisonBayesian Methods
Abstract
This paper presents an approach to the optimal fixed experimental

design for pair-wise metric conjoint studies. We first propose a linear

model suitable for metric paired comparison conjoint analysis.

Following Bayesian decision theory, optimal design problems in pairwise

metric conjoint analysis is then formally defined. Given the formal

definition of the experimental design problems, algorithms for the

identification for the optimal design are developed. The proposed

methodology is applied to a hypothetical conjoint experimental design

problem and major findings are discussed.
ISSN
1226-9816
Language
English
URI
https://hdl.handle.net/10371/1799
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College of Business Administration/Business School (경영대학/대학원)Dept. of Business Administration (경영학과)Seoul Journal of BusinessSeoul Journal of Business Volume 10, Number 1/2 (2004)
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