Conjoint Analysis - Green, Paul E.

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Résumé :
Conjoint Analysis: Applications by Paul Green showcases the practical power of conjoint methods in solving real-world marketing challenges. Drawing from decades of client-based projects, this book presents diverse case studies across industries such as healthcare, consumer goods, financial services, and technology. It reveals how businesses use conjoint analysis to prioritize product features, evaluate brand equity, test pricing models, and refine service offerings. This hands-on book bridges the gap between theory and execution, highlighting the strategic decisions that conjoint results have influenced-from product launches to repositioning campaigns. Green illustrates how businesses can simulate market response and make confident, evidence-based decisions using customer preference data. Designed for marketing professionals, consultants, and students of applied analytics, this book is a field-tested reference for deploying conjoint analysis in dynamic, competitive environments. Whether launching a new offering or optimizing an existing one, readers will gain a toolkit for applying conjoint insights to real market scenarios....

Biographie:
Paul E. Green was Emeritus Professor of Marketing at The Wharton School, The University of Pennsylvania. Prof. Green was often called the father of conjoint analysis, the powerful predictive statistical technique and backbone of market research. Conjoint analysis allows marketing managers to make accurate decisions about what products and services to sell-and helped make Green marketing's most cited author. The marketing discipline's familiarity with the utilization of Bayesian statistics, multidimensional scaling, clustering, and analysis of qualitative data are due in part to the pioneering works of Prof. Green. The most prolific of marketing scholars with 16 books and over 200 articles, his influence on the marketing discipline ranges far beyond his ground breaking inspired writings. As a creative researcher, he stimulated the design and implementation of numerous innovative studies for the solution of real-world problems. Prof. Green received all of the major marketing awards, including the Parlin Award for Advancement of Science in Marketing, the AMA/Irwin Marketing Educator of the Year Award, The Outstanding Marketing Educator Award, and the Lifetime Achievement in Marketing Research Award. In 1996 the Journal of Marketing Research established the Paul E. Green Award for the best article in the Journal of Marketing Research that demonstrates the greatest potential to contribute significantly to the practice of marketing research. He passed away on September 21, 2012....

Sommaire:
Paul E. Green was Emeritus Professor of Marketing at The Wharton School, The University of Pennsylvania. Prof. Green was often called the father of conjoint analysis, the powerful predictive statistical technique and backbone of market research. Conjoint analysis allows marketing managers to make accurate decisions about what products and services to sell-and helped make Green marketing's most cited author. The marketing discipline's familiarity with the utilization of Bayesian statistics, multidimensional scaling, clustering, and analysis of qualitative data are due in part to the pioneering works of Prof. Green. The most prolific of marketing scholars with 16 books and over 200 articles, his influence on the marketing discipline ranges far beyond his ground breaking inspired writings. As a creative researcher, he stimulated the design and implementation of numerous innovative studies for the solution of real-world problems. Prof. Green received all of the major marketing awards, including the Parlin Award for Advancement of Science in Marketing, the AMA/Irwin Marketing Educator of the Year Award, The Outstanding Marketing Educator Award, and the Lifetime Achievement in Marketing Research Award. In 1996 the Journal of Marketing Research established the Paul E. Green Award for the best article in the Journal of Marketing Research that demonstrates the greatest potential to contribute significantly to the practice of marketing research. He passed away on September 21, 2012....