Commercial Use of Conjoint Analysis: A Survey

Conjoint analysis has been used extensively in marketing research to estimate the impact of selected product (service) characteristics on customer preferences for products (services). In this paper we discuss findings obtained from a survey of commercial users of the methodology. We project that around 1,000 commercial applications have been carried out during the last decade. We discuss the manner in which the methodology is used commercially, remaining issues that deserve further exploration, and recent advances or insights obtained by researchers working in this area.

[1]  Allan D. Shocker,et al.  Linear programming techniques for multidimensional analysis of preferences , 1973 .

[2]  Paul E. Green,et al.  On the Design of Choice Experiments Involving Multifactor Alternatives , 1974 .

[3]  P. Green,et al.  Conjoint Analysis in Consumer Research: Issues and Outlook , 1978 .

[4]  Paul E. Green,et al.  Robustness of Conjoint Analysis: Some Monté Carlo Results , 1978 .

[5]  Subrata K. Sen,et al.  Measurement and Estimation of Conjoint Utility Functions , 1979 .

[6]  Vijay Mahajan,et al.  A Comparison of the Internal Validity of Alternative Parameter Estimation Methods in Decompositional Multiattribute Preference Models , 1979 .

[7]  W. DeSarbo,et al.  Componential Segmentation in the Analysis of Consumer Trade-Offs , 1979 .

[8]  Subrata K. Sen,et al.  Improving Prediction in Conjoint Measurement , 1979 .

[9]  David B. Montgomery,et al.  Predictive Validity of Trade-Off Analysis for Alternative Segmentation Schemes , 1979 .

[10]  Franklin Acito,et al.  AN INFORMATION PROCESSING PROBE INTO CONJOINT ANALYSIS , 1980 .

[11]  V Srinivasan.  Comments on "On Conjoint Analysis and Quantal Choice Models." , 1980 .

[12]  Charles R. Plott,et al.  Comments on "On Conjoint Analysis and Quantal Choice Models" , 1980 .

[13]  Lakshmanan Krishnamurthi.  Modeling joint decision making through relative influence , 1980 .

[14]  Albert Madansky,et al.  On Conjoint Analysis and Quantal Choice Models , 1980 .

[15]  M. Holbrook.  Integrating Compositional and Decompositional Analyses to Represent the Intervening Role of Perceptions in Evaluative Judgments , 1981 .

[16]  Morris B. Holbrook,et al.  Feature Interactions in Consumer Judgments of Verbal Versus Pictorial Presentations , 1981 .

[17]  Charles B. Weinberg,et al.  Design of Subscription Programs for a Performing Arts Series , 1981 .

[18]  Paul E. Green,et al.  A Hybrid Utility Estimation Model for Conjoint Analysis , 1981 .

[19]  J. Hauser,et al.  Profit Maximizing Perceptual Positions: An Integrated Theory for the Selection of Product Features and Price , 1981 .

[20]  Philippe Cattin,et al.  Alternative Estimation Methods for Conjoint Analysis: A Monté Carlo Study , 1981 .

[21]  Paul E. Green,et al.  A General Approach to Product Design Optimization via Conjoint Analysis , 1981 .

[22]  Dick R. Wittink,et al.  Comparing Derived Importance Weights Across Attributes , 1982 .

[23]  Philippe Cattin,et al.  A Simple Bayesian Procedure for Estimation in a Conjoint Model , 1983 .

[24]  Paul E. Green,et al.  A Cross-Validation Test of Hybrid Conjoint Models , 1983 .