Kirjailija
Paul E Green
Kirjat ja teokset yhdessä paikassa: 13 kirjaa, julkaisuja vuosilta 2005–2025, suosituimpiin kuuluu Conjoint Analysis. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.
Nimi esiintyy myös muodoissa: Paul E. Green
13 kirjaa
Kirjojen julkaisuvuodet: 2005–2025.
Conjoint Analysis: The Pioneering Years by Paul Green chronicles the development of one of marketing's most powerful and enduring research techniques. This book captures Green's groundbreaking work on conjoint analysis, an approach that revolutionized how companies understand customer trade-offs and preferences. By simulating real-world decision-making, conjoint analysis allows marketers to uncover what product features truly drive consumer choices. Green takes readers back to the origins of conjoint methods, explaining the core principles, experimental designs, and analytical techniques that shaped early research. The book offers practical guidance on designing effective studies and interpreting results while providing historical context on how conjoint evolved into a staple of product development and pricing research. Ideal for marketing researchers, analysts, and students of consumer behavior, this book is both a historical archive and a practical guide. Discover how conjoint analysis laid the groundwork for modern preference modeling and continues to inform decision-making in industries from tech to consumer goods.
Multidimensional Scaling and Positioning
Paul E Green; Vibrant Publishers
Vibrant Publishers
2025
pokkari
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.
Conjoint Analysis: Advanced Methods by Paul Green pushes the boundaries of marketing science by introducing sophisticated extensions and applications of conjoint techniques. This book is a must-have for researchers and practitioners who want to extract deeper insights from consumer data and model complex decision-making behavior with greater precision. From hybrid conjoint designs to interaction modeling and hierarchical Bayes estimation, Green explores methods that are both technically robust and highly actionable. Ideal for experienced analysts, this book addresses advanced topics like part-worth estimation, adaptive conjoint analysis, and the integration of conjoint with segmentation and market simulation. Through clear explanations and illustrative case studies, Green demonstrates how these methods can optimize product configurations, assess price elasticity, and predict market share. This book reflects Green's ongoing contributions to marketing research and offers a comprehensive resource for those ready to elevate their analytical capabilities. It's an essential guide for professionals looking to bridge theory and application in high-stakes marketing decisions.
Conjoint Analysis: The Pioneering Years by Paul Green chronicles the development of one of marketing's most powerful and enduring research techniques. This book captures Green's groundbreaking work on conjoint analysis, an approach that revolutionized how companies understand customer trade-offs and preferences. By simulating real-world decision-making, conjoint analysis allows marketers to uncover what product features truly drive consumer choices. Green takes readers back to the origins of conjoint methods, explaining the core principles, experimental designs, and analytical techniques that shaped early research. The book offers practical guidance on designing effective studies and interpreting results while providing historical context on how conjoint evolved into a staple of product development and pricing research. Ideal for marketing researchers, analysts, and students of consumer behavior, this book is both a historical archive and a practical guide. Discover how conjoint analysis laid the groundwork for modern preference modeling and continues to inform decision-making in industries from tech to consumer goods.
Marketing Research by Paul Green presents a comprehensive foundation for designing, conducting, and interpreting research that informs high-impact marketing decisions. Combining methodological rigor with practical relevance, this book equips students, analysts, and professionals with the tools to uncover insights that drive strategy. Green covers a wide array of techniques, including survey design, experimental research, sampling plans, multivariate analysis, and forecasting models. Unlike conventional texts, this book emphasizes the application of research to solve real marketing problems-such as brand tracking, advertising effectiveness, product positioning, and customer satisfaction. With a focus on bridging theory and practice, Marketing Research walks readers through every stage of the research process-from problem formulation to actionable recommendations. Case-based examples and clear frameworks guide readers in aligning research design with business objectives. This book is essential reading for marketing professionals, business students, and data-driven decision makers who want to master the art and science of transforming data into strategic value.
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.
Conjoint Analysis: Advanced Methods by Paul Green pushes the boundaries of marketing science by introducing sophisticated extensions and applications of conjoint techniques. This book is a must-have for researchers and practitioners who want to extract deeper insights from consumer data and model complex decision-making behavior with greater precision. From hybrid conjoint designs to interaction modeling and hierarchical Bayes estimation, Green explores methods that are both technically robust and highly actionable. Ideal for experienced analysts, this book addresses advanced topics like part-worth estimation, adaptive conjoint analysis, and the integration of conjoint with segmentation and market simulation. Through clear explanations and illustrative case studies, Green demonstrates how these methods can optimize product configurations, assess price elasticity, and predict market share. This book reflects Green's ongoing contributions to marketing research and offers a comprehensive resource for those ready to elevate their analytical capabilities. It's an essential guide for professionals looking to bridge theory and application in high-stakes marketing decisions.
Clustering and Segmentation by Paul Green offers a rigorous yet practical exploration of how marketers and analysts can discover meaningful groups within customer data. This book demystifies the statistical techniques behind cluster analysis and market segmentation, equipping readers with the tools to identify patterns in consumer behavior, preferences, and needs. With applications ranging from customer profiling to product customization, the book emphasizes the importance of using segmentation to guide targeted marketing strategies. Green breaks down complex algorithms such as hierarchical, k-means, and latent class clustering with real-world examples, while also addressing validation methods and common pitfalls. Emphasizing interpretability and actionability, the book shows how segmentation outputs can be translated into clear business strategies and messaging. Whether you're a marketing researcher, data analyst, or business strategist, this book provides a strong foundation in customer segmentation and its relevance in today's data-driven landscape. It's a vital reference for anyone looking to enhance personalization, improve targeting, and drive market success through analytical precision.
Clustering and Segmentation by Paul Green offers a rigorous yet practical exploration of how marketers and analysts can discover meaningful groups within customer data. This book demystifies the statistical techniques behind cluster analysis and market segmentation, equipping readers with the tools to identify patterns in consumer behavior, preferences, and needs. With applications ranging from customer profiling to product customization, the book emphasizes the importance of using segmentation to guide targeted marketing strategies. Green breaks down complex algorithms such as hierarchical, k-means, and latent class clustering with real-world examples, while also addressing validation methods and common pitfalls. Emphasizing interpretability and actionability, the book shows how segmentation outputs can be translated into clear business strategies and messaging. Whether you're a marketing researcher, data analyst, or business strategist, this book provides a strong foundation in customer segmentation and its relevance in today's data-driven landscape. It's a vital reference for anyone looking to enhance personalization, improve targeting, and drive market success through analytical precision.
Multidimensional Scaling and Positioning
Paul E Green; Vibrant Publishers
Vibrant Publishers
2025
sidottu
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.
A compelling treatment of FTTH Written by telecommunications pioneer Paul Green Jr., Fiber to the Home is a comprehensive examination of the technical and social implications of fiber to the home (FTTH), the technology that extends the current fiber optic backbone to optically connect it directly to homes and offices. Fiber to the Home addresses the payoffs expected from this impending technological revolution; provides a detailed guide to the optoelectronic components and architectures of which the system is made; and includes an equally thorough guide to the mechanics of deploying the fiber paths, whether underground or elevated. Additionally, the book concludes with a recent country-by-country survey of the legalities and the state of play in this important new trend. Green points out how completing the "last mile" between today's fiber network backbone and customer premises will not only unleash new usage modes for consumer computers, TVs, phones, and other terminal types, but will also empower both the computer and telecommunication industries toward new levels of investment and profitability. Aimed at a general audience, Fiber to the Home uses essentially no mathematics, and all terms are carefully explained and reinforced with a vocabulary quiz at the end of each chapter. Because of the tutorial emphasis of the explanations, the wide spectrum of readers affected by this emerging and ever-accelerating revolution will gain a thorough understanding of the technical details of FTTH that will aid them in the practice of their professions. These readers include: * Technicians, craftsmen, and engineers involved in installing fiber systems * Telecommunication network planners * Venture investors curious about the future of this dynamic industry sector * Research and product engineers who need to know the detailed architecture, cost, and performance imperatives of this "post-bubble" optical networking business opportunity * Students interested in a vibrant new industry with new jobs and new R & D challenges * Telecommunication regulators and attorneys who need a quick fix on what the technology is and what it does * Individuals concerned with international competitiveness in an age when the country's information infrastructure is such a key ingredient for future growth With Fiber to the Home, readers are armed with all they need to fully understand and participate in the FTTH revolution.