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International Series in Quantitative Marketing Ser.: Market Segmentation : Conceptual and Methodological Foundations by Wagner A. Kamakura and Michel Wedel (1999, Hardcover)
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A chapter on mixture model analysis of paired comparison data has been added, together with a new chapter on the pros and cons of the mixture model. Three types of finite mixture models are discussed in this second section: simple mixtures, mixtures of regressions and mixtures of unfolding models.
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About this product
Product Identifiers
PublisherSpringer
ISBN-100792386353
ISBN-139780792386353
eBay Product ID (ePID)1764676
Product Key Features
Number of PagesXxii, 382 Pages
LanguageEnglish
Publication NameMarket Segmentation : Conceptual and Methodological Foundations
Publication Year1999
SubjectMarketing / General, Management, Applied
FeaturesRevised
TypeTextbook
AuthorWagner A. Kamakura, Michel Wedel
Subject AreaMathematics, Business & Economics
SeriesInternational Series in Quantitative Marketing Ser.
FormatHardcover
Dimensions
Item Weight58.2 Oz
Item Length9.3 in
Item Width6.1 in
Additional Product Features
Edition Number2
Intended AudienceScholarly & Professional
LCCN99-049246
Dewey Edition21
Series Volume Number8
Number of Volumes1 vol.
IllustratedYes
Dewey Decimal658.8/02
Edition DescriptionRevised edition
Table Of Content1 - Introduction.- 1 The Historical Development of the Market Segmentation Concept.- 2 Segmentation Bases.- 3 Segmentation Methods.- 4 Tools for Market Segmentation.- 2 - Segmentation Methodology.- 5 Clustering Methods.- 6 Mixture Models.- 7 Mixture Regression Models.- 8 Mixture Unfolding Models.- 9 Profiling Segments.- 10 Dynamic Segmentation.- 3 - Special Topics in Market Segmentation.- 11 Joint Segmentation.- 12 Market Segmentation with Tailored Interviewing.- 13 Model-Based Segmentation Using Structural Equation Models.- 14 Segmentation Based on Product Dissimilarity Judgements.- 4 - Applied Market Segmentation.- 15 General Observable Bases: Geo-demographics.- 16 General Unobservable Bases: Values and Lifestyles.- 17 Product-specific observable Bases: Response-based Segmentation.- 18 Product-Specific Unobservable Bases: Conjoint Analysis.- 5 - Conclusions and Directions for Future Research.- 19 Conclusions: Representations of Heterogeneity.- 20 Directions for Future Research.- References.
SynopsisModern marketing techniques in industrialized countries cannot be implemented without segmentation of the potential market. Goods are no longer produced and sold without a significant consideration of customer needs combined with a recognition that these needs are heterogeneous. Since first emerging in the late 1950s, the concept of segmentation has been one of the most researched topics in the marketing literature. Segmentation has become a central topic to both the theory and practice of marketing, particularly in the recent development of finite mixture models to better identify market segments. This second edition of Market Segmentation updates and extends the integrated examination of segmentation theory and methodology begun in the first edition. A chapter on mixture model analysis of paired comparison data has been added, together with a new chapter on the pros and cons of the mixture model. The book starts with a framework for considering the various bases and methods available for conducting segmentation studies. The second section contains a more detailed discussion of the methodology for market segmentation, from traditional clustering algorithms to more recent developments in finite mixtures and latent class models. Three types of finite mixture models are discussed in this second section: simple mixtures, mixtures of regressions and mixtures of unfolding models. The third main section is devoted to special topics in market segmentation such as joint segmentation, segmentation using tailored interviewing and segmentation with structural equation models. The fourth part covers four major approaches to applied market segmentation: geo-demographic, lifestyle, response-based, and conjoint analysis. The final concluding section discusses directions for further research.
LC Classification NumberHF5410-5417.5
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