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Conjoint measurement. Methods and applications. 3rd ed. (English) Zbl 1059.62122

Berlin: Springer (ISBN 3-540-40479-1/hbk). vii, 568 p. (2003).
Conjoint Analysis provided a new and powerful array of methods for tackling the important problem of representing and predicting buyer preference judgments and choice behavior – clearly a major problem area in marketing. The aim of this book is to reflect the substantial research and recent developments done in Conjoint Analysis. Leading scientists present theory, models and applications to marketing and business research. This book of 21 essays contains latest developments in conjoint modeling, a number of comparisons and cross validation studies.
The following models, techniques, and applications are discussed: normative models that maximize return, extension of choice-based conjoint simulations, latent class, hierarchical Bayes modelling, new choice simulators, normative models for representing competitive actions and reactions (based on game theory), applications in diverse areas, computation of monetary equivalents of part worth, share/return optimization (including Pareto frontier analysis), coupling of conjoint analysis with the perceptual and preference mapping of choice simulator results.
From the Contents: P. E. Green, Foreword; A. Gustafsson, A. Herrmann and F. Huber, Conjoint Analysis as an Instrument of Market Research Practice; V. R. Rao and H. Sattler, Measurement of Price Effects with Conjoint Analysis: Separating Informational and Allocative Effects of Price; S. Simmons and M. Esser, Developing Business Solutions from Conjoint Analysis. H. Sattler and K. Schirm, Measuring the Credibility of Product-Preannouncements with Conjoint Analysis; D. Baier and W. Gaul, Market Simulation Using a Probabilistic Ideal Vector Model for Conjoint Data; H. Sattler and S. Hensel-Börner, A Comparison of Conjoint Measurement with Self-Explicated Approaches; G. L. Marzocchi, S. Brasini and M. Rimessi, New Product Development in the Software Industry: The Role of Conjoint Analysis; O. Blomkvist, F. Ekdahl and A. Gustafsson, Non-geometric Plackett-Burman Designs in Conjoint Analysis; F. Huber, A. Herrmann and A. Gustafsson, On the Influence of the Evaluation Methods in Conjoint Design – Some Empirical Results; T. Elrod and K. Chrzan, The Value of Extent-of-Preference Information in Choice-based Conjoint Analysis; T. Teichert, Confounding of Effects in Rank-Based Conjoint-Analysis; W. Kamakura and M. Ozer, A Multi-trait Multi-Method Validity Test of Part Worth Estimates; A. Herrmann, D. Schmidt-Gallas and F. Huber, Adaptive Conjoint Analysis: Understanding the Methodology and Assessing Reliability and Validity; J. Louviere, D. Hensher and J. Swait, Conjoint Preference Elicitation Methods in the Broader Context of Random Utility Theory Preference Elicitation Methods; R. Haauer and M. Wedel, Conjoint Choice Experiments: General Characteristics and Alternative Model Specifications; B. G. C. Dellaert, A. W. J. Borgers, J. J. Louviere and H. J. P. Timmermans, Using Conjoint Choice Experiments to Model Consumer Choices of Product Component Packages; V. Ramaswamy and S. H. Cohen, Latent Class Models for Conjoint Analysis; W. S. DeSarbo and C. F. DeSarbo, A Generalized Normative Segmentation Methodology Employing Conjoint Analysis; J. Huber, B. Orme and R. Miller, Dealing with Product Similarity in Conjoint Simulations; C. Kolvenbach, S. Krieg and C. Felten, Evaluating Brand Value – A Conjoint Measurement Application for the Automobile Industry; D. R. Wittink and S. K. Keil, Continuous Conjoint Analysis.

MSC:

62P20 Applications of statistics to economics
90B60 Marketing, advertising
62-06 Proceedings, conferences, collections, etc. pertaining to statistics
62-02 Research exposition (monographs, survey articles) pertaining to statistics
00B15 Collections of articles of miscellaneous specific interest

Citations:

Zbl 1059.62747
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