Multidimensional Scaling and Positioning - Green, Paul E.

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Résumé :
Multidimensional Scaling and Positioning by Paul Green offers a foundational and forward-looking perspective on how businesses can uncover the perceptual dimensions that shape customer choices. Drawing on decades of pioneering research, Green walks readers through the theory, computation, and strategic applications of multidimensional scaling (MDS), empowering marketers to visualize brand space, diagnose competitive positioning, and inform product development. With clarity and precision, the book explains how to translate complex consumer preference data into intuitive maps that reveal hidden relationships among products and services. This book is ideal for researchers, analysts, and marketing strategists seeking to move beyond traditional survey analysis and adopt a multidimensional view of markets. It features examples from real-world studies and highlights the evolution of MDS methods as computing power has grown. Whether designing perceptual maps or evaluating repositioning opportunities, this book is an essential guide to making data-driven positioning decisions that resonate with target audiences. A cornerstone in marketing analytics, this book continues to influence positioning strategy in academic and business contexts alike....

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:
Multidimensional Scaling and Positioning by Paul Green offers a foundational and forward-looking perspective on how businesses can uncover the perceptual dimensions that shape customer choices. Drawing on decades of pioneering research, Green walks readers through the theory, computation, and strategic applications of multidimensional scaling (MDS), empowering marketers to visualize brand space, diagnose competitive positioning, and inform product development. With clarity and precision, the book explains how to translate complex consumer preference data into intuitive maps that reveal hidden relationships among products and services. This book is ideal for researchers, analysts, and marketing strategists seeking to move beyond traditional survey analysis and adopt a multidimensional view of markets. It features examples from real-world studies and highlights the evolution of MDS methods as computing power has grown. Whether designing perceptual maps or evaluating repositioning opportunities, this book is an essential guide to making data-driven positioning decisions that resonate with target audiences. A cornerstone in marketing analytics, this book continues to influence positioning strategy in academic and business contexts alike....