Conjoint Measurement [electronic resource] : Methods and Applications /

Conjoint Measurement [electronic resource] : Methods and Applications /

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by Paul E. Green I am honored and pleased to respond to authors request to write a Fore­ word for this excellent collection of essays on conjoint analysis and related topics. While a number of survey articles and sporadic book chapters have appeared on the subject, to the best of my knowledge this book represents the first volume of contributed essays on conjoint analysis. The book re­ flects not only the geographical diversity of its contributors but also the variety and depth of their topics. The development of conjoint analysis and its application to marketing and business research is noteworthy, both in its eclectic roots (psychometrics, statistics, operations research, economics) and the fact that its development reflects the efforts of a large variety of professionals - academics, market­ ing research consultants, industry practitioners, and software developers. Reasons for the early success and diffusion of conjoint analysis are not hard to find. First, by the early sixties, precursory psychometric techniques (e.g., multidimensional scaling and correspondence analysis, cluster analy­ sis, and general multivariate techniques) had already shown their value in practical business research and application. Second, conjoint analysis pro­ vided 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.

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Main Authors: Gustafsson, Anders. editor., Herrmann, Andreas. editor., Huber, Frank. editor., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003
Subjects:Business., Marketing., Management., Statistics., Business and Management., Statistics for Business/Economics/Mathematical Finance/Insurance.,
Online Access:http://dx.doi.org/10.1007/978-3-540-24713-5
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id KOHA-OAI-TEST:193351
record_format koha
institution COLPOS
collection Koha
country México
countrycode MX
component Bibliográfico
access En linea
En linea
databasecode cat-colpos
tag biblioteca
region America del Norte
libraryname Departamento de documentación y biblioteca de COLPOS
language eng
topic Business.
Marketing.
Management.
Statistics.
Business and Management.
Marketing.
Statistics for Business/Economics/Mathematical Finance/Insurance.
Management.
Business.
Marketing.
Management.
Statistics.
Business and Management.
Marketing.
Statistics for Business/Economics/Mathematical Finance/Insurance.
Management.
spellingShingle Business.
Marketing.
Management.
Statistics.
Business and Management.
Marketing.
Statistics for Business/Economics/Mathematical Finance/Insurance.
Management.
Business.
Marketing.
Management.
Statistics.
Business and Management.
Marketing.
Statistics for Business/Economics/Mathematical Finance/Insurance.
Management.
Gustafsson, Anders. editor.
Herrmann, Andreas. editor.
Huber, Frank. editor.
SpringerLink (Online service)
Conjoint Measurement [electronic resource] : Methods and Applications /
description by Paul E. Green I am honored and pleased to respond to authors request to write a Fore­ word for this excellent collection of essays on conjoint analysis and related topics. While a number of survey articles and sporadic book chapters have appeared on the subject, to the best of my knowledge this book represents the first volume of contributed essays on conjoint analysis. The book re­ flects not only the geographical diversity of its contributors but also the variety and depth of their topics. The development of conjoint analysis and its application to marketing and business research is noteworthy, both in its eclectic roots (psychometrics, statistics, operations research, economics) and the fact that its development reflects the efforts of a large variety of professionals - academics, market­ ing research consultants, industry practitioners, and software developers. Reasons for the early success and diffusion of conjoint analysis are not hard to find. First, by the early sixties, precursory psychometric techniques (e.g., multidimensional scaling and correspondence analysis, cluster analy­ sis, and general multivariate techniques) had already shown their value in practical business research and application. Second, conjoint analysis pro­ vided 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.
format Texto
topic_facet Business.
Marketing.
Management.
Statistics.
Business and Management.
Marketing.
Statistics for Business/Economics/Mathematical Finance/Insurance.
Management.
author Gustafsson, Anders. editor.
Herrmann, Andreas. editor.
Huber, Frank. editor.
SpringerLink (Online service)
author_facet Gustafsson, Anders. editor.
Herrmann, Andreas. editor.
Huber, Frank. editor.
SpringerLink (Online service)
author_sort Gustafsson, Anders. editor.
title Conjoint Measurement [electronic resource] : Methods and Applications /
title_short Conjoint Measurement [electronic resource] : Methods and Applications /
title_full Conjoint Measurement [electronic resource] : Methods and Applications /
title_fullStr Conjoint Measurement [electronic resource] : Methods and Applications /
title_full_unstemmed Conjoint Measurement [electronic resource] : Methods and Applications /
title_sort conjoint measurement [electronic resource] : methods and applications /
publisher Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer,
publishDate 2003
url http://dx.doi.org/10.1007/978-3-540-24713-5
work_keys_str_mv AT gustafssonanderseditor conjointmeasurementelectronicresourcemethodsandapplications
AT herrmannandreaseditor conjointmeasurementelectronicresourcemethodsandapplications
AT huberfrankeditor conjointmeasurementelectronicresourcemethodsandapplications
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spelling KOHA-OAI-TEST:1933512018-07-30T23:18:02ZConjoint Measurement [electronic resource] : Methods and Applications / Gustafsson, Anders. editor. Herrmann, Andreas. editor. Huber, Frank. editor. SpringerLink (Online service) textBerlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer,2003.engby Paul E. Green I am honored and pleased to respond to authors request to write a Fore­ word for this excellent collection of essays on conjoint analysis and related topics. While a number of survey articles and sporadic book chapters have appeared on the subject, to the best of my knowledge this book represents the first volume of contributed essays on conjoint analysis. The book re­ flects not only the geographical diversity of its contributors but also the variety and depth of their topics. The development of conjoint analysis and its application to marketing and business research is noteworthy, both in its eclectic roots (psychometrics, statistics, operations research, economics) and the fact that its development reflects the efforts of a large variety of professionals - academics, market­ ing research consultants, industry practitioners, and software developers. Reasons for the early success and diffusion of conjoint analysis are not hard to find. First, by the early sixties, precursory psychometric techniques (e.g., multidimensional scaling and correspondence analysis, cluster analy­ sis, and general multivariate techniques) had already shown their value in practical business research and application. Second, conjoint analysis pro­ vided 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.1. Conjoint Analysis as an Instrument of Market Research Practice -- 2. Measurement of Price Effects with Conjoint Analysis: Separating Informational and Allocative Effects of Price -- 3. Developing Business Solutions from Conjoint Analysis -- 4 Measuring the Credibility of Product-Preannouncements with Conjoint Analysis -- 5. Market Simulation Using a Probabilistic Ideal Vector Model for Conjoint Data -- 6. A Comparison of Conjoint Measurement with Self-Explicated Approaches -- 7. New Product Development in the Software Industry: The Role of Conjoint Analysis -- 8. Non-geometric Plackett-Burman Designs in Conjoint Analysis -- 9. On the Influence of the Evaluation Methods in Conjoint Design — Some Empirical Results -- 10. The Value of Extent-of-Preference Information in Choice-based Conjoint Analysis -- 11. Confounding of Effects in Rank-Based Conjoint-Analysis -- 12. A Multi-trait Multi-Method Validity Test of Partworth Estimates -- 13. Adaptive Conjoint Analysis: Understanding the Methodology and Assessing Reliability and Validity -- 14. Conjoint Preference Elicitation Methods in the Broader Context of Random Utility Theory Preference Elicitation Methods -- 15. Conjoint Choice Experiments: General Characteristics and Alternative Model Specifications -- 16 Using Conjoint Choice Experiments to Model Consumer Choices of Product Component Packages -- 17. Latent Class Models for Conjoint Analysis -- 18. A Generalized Normative Segmentation Methodology Employing Conjoint Analysis -- 19. Dealing with Product Similarity in Conjoint Simulations -- 20. Evaluating Brand Value — A Conjoint Measurement Application for the Automotive Industry -- 21 Continuous Conjoint Analysis -- Author Index.by Paul E. Green I am honored and pleased to respond to authors request to write a Fore­ word for this excellent collection of essays on conjoint analysis and related topics. While a number of survey articles and sporadic book chapters have appeared on the subject, to the best of my knowledge this book represents the first volume of contributed essays on conjoint analysis. The book re­ flects not only the geographical diversity of its contributors but also the variety and depth of their topics. The development of conjoint analysis and its application to marketing and business research is noteworthy, both in its eclectic roots (psychometrics, statistics, operations research, economics) and the fact that its development reflects the efforts of a large variety of professionals - academics, market­ ing research consultants, industry practitioners, and software developers. Reasons for the early success and diffusion of conjoint analysis are not hard to find. First, by the early sixties, precursory psychometric techniques (e.g., multidimensional scaling and correspondence analysis, cluster analy­ sis, and general multivariate techniques) had already shown their value in practical business research and application. Second, conjoint analysis pro­ vided 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.Business.Marketing.Management.Statistics.Business and Management.Marketing.Statistics for Business/Economics/Mathematical Finance/Insurance.Management.Springer eBookshttp://dx.doi.org/10.1007/978-3-540-24713-5URN:ISBN:9783540247135

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