A Componential Segmentation Model with Optimal Product Design Features
- 18 June 1989
- journal article
- Published by Wiley in Decision Sciences
- Vol. 20 (2) , 221-238
- https://doi.org/10.1111/j.1540-5915.1989.tb01874.x
Abstract
In componential segmentation the researcher is interested in decomposing survey respondents' evaluations of conjoint‐designed product descriptions into separate contributions; these contributions are due to stimulus attributes, respondent attributes, and/or conjoint‐designed situation attributes. Previous research has employed either scalar product or ANOVA‐like decompositions.The present paper extends earlier research by presenting a procedure for finding optimal market segments for given products, and vice versa. The model is developed in the context of the ANOVA‐type formulation of componential segmentation.Keywords
This publication has 33 references indexed in Scilit:
- GENFOLD2: A set of models and algorithms for the general UnFOLDing analysis of preference/dominance dataJournal of Classification, 1984
- Hybrid Models for Conjoint Analysis: An Expository ReviewJournal of Marketing Research, 1984
- A Comparison of the Predictive Validity of Procedures for Analyzing Binary DataJournal of Business & Economic Statistics, 1983
- An Empirical Comparison of the Predictive Validity of Self-Explicated, Huber-Hybrid, Traditional Conjoint, and Hybrid Conjoint ModelsJournal of Marketing Research, 1983
- A comparison of two approaches to the optimal positioning of a new product in an attribute spaceMathematical Methods of Operations Research, 1979
- Componential Segmentation in the Analysis of Consumer Trade-OffsJournal of Marketing, 1979
- ZIPMAP -- A Zero-One Integer Programming Model for Market Segmentation and Product PositioningJournal of the Operational Research Society, 1979
- Effects of Attitudinal and Situational Factors on Reported Choice BehaviorJournal of Marketing Research, 1968
- Orthogonal Main-Effect Plans for Asymmetrical Factorial ExperimentsTechnometrics, 1962
- Orthogonal Main-Effect Plans for Asymmetrical Factorial ExperimentsTechnometrics, 1962