This book provides different applications and methods of conjoint analysis in marketing. It gives an introduction into the basic ideas of conjoint analysis and describes the steps involved in designing a ratings-based conjoint study. This new revised second edition offers newer methods for estimating utility functions for products with multiple attributes such as Best-Worst Scaling, incorporating non-compensatory aspects, and auction methods. It features new chapters on advanced methods of analysis (e.g., machine-learning based and others) and conjoint analysis with other types of data such as eye tracking, visual design evaluations, search data and GPT, among others. While the focus of the book is on methods in marketing, these methods are also applicable for other business and social sciences.
This book is useful to academics, researchers, and scholars applied marketing science. This book is also suitable as a textbook for quantitative marketing coursework.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Vithala R. Rao is the Deane Malott Professor Emeritus of Management and Professor Emeritus of Marketing and Quantitative Methods at the Samuel Curtis Johnson Graduate School of Management, SC Johnson College of Business, Cornell University (Ithica, NY, USA). He has published over 150 papers on several topics including conjoint analysis and multidimensional scaling, pricing, bundle design, brand equity, market structure, corporate acquisition, and linking brand strategies to financial performance. He has also published several books including Applied Conjoint Analysis (Springer, 2014) and Advanced Introduction to Pricing Strategy and Analytics (Edward Elgar Publishing, 2023). Dr. Rao serves as a Senior Editor on the editorial board of Customer Needs and Solutions and was awarded the 2017 Churchill Award by the American Marketing Association’s Marketing Research Specialist Interest Group for his lifetime contributions in marketing research.
This book provides different applications and methods of conjoint analysis in marketing. It gives an introduction into the basic ideas of conjoint analysis and describes the steps involved in designing a ratings-based conjoint study. This new revised second edition offers newer methods for estimating utility functions for products with multiple attributes such as Best-Worst Scaling, incorporating non-compensatory aspects, and auction methods. It features new chapters on advanced methods of analysis (e.g., machine-learning based and others) and conjoint analysis with other types of data such as eye tracking, visual design evaluations, search data and GPT, among others. While the focus of the book is on methods in marketing, these methods are also applicable for other business and social sciences.
This book is useful to academics, researchers, and scholars applied marketing science. This book is also suitable as a textbook for quantitative marketing coursework.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides different applications and methods of conjoint analysis in marketing. It gives an introduction into the basic ideas of conjoint analysis and describes the steps involved in designing a ratings-based conjoint study. This new revised second edition offers newer methods for estimating utility functions for products with multiple attributes such as Best-Worst Scaling, incorporating non-compensatory aspects, and auction methods. It features new chapters on advanced methods of analysis (e.g., machine-learning based and others) and conjoint analysis with other types of data such as eye tracking, visual design evaluations, search data and GPT, among others. While the focus of the book is on methods in marketing, these methods are also applicable for other business and social sciences. This book is useful to academics, researchers, and scholars applied marketing science. This book is also suitable as a textbook for quantitative marketing coursework. 540 pp. Englisch. Codice articolo 9783032008930
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Hardcover. Condizione: new. Hardcover. This book provides different applications and methods of conjoint analysis in marketing. It gives an introduction into the basic ideas of conjoint analysis and describes the steps involved in designing a ratings-based conjoint study. This new revised second edition offers newer methods for estimating utility functions for products with multiple attributes such as Best-Worst Scaling, incorporating non-compensatory aspects, and auction methods. It features new chapters on advanced methods of analysis (e.g., machine-learning based and others) and conjoint analysis with other types of data such as eye tracking, visual design evaluations, search data and GPT, among others. While the focus of the book is on methods in marketing, these methods are also applicable for other business and social sciences. This book is useful to academics, researchers, and scholars applied marketing science. This book is also suitable as a textbook for quantitative marketing coursework. This book provides different applications and methods of conjoint analysis in marketing. It features new chapters on advanced methods of analysis (e.g., machine-learning based and others) and conjoint analysis with other types of data such as eye tracking, visual design evaluations, search data and GPT, among others. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9783032008930
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Buch. Condizione: Neu. Applied Conjoint Analysis | From Product and Service Design to Market and Pricing Strategies | Vithala R. Rao | Buch | Springer Texts in Business and Economics | xxiii | Englisch | 2026 | Springer | EAN 9783032008930 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Codice articolo 134503653
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides different applications and methods of conjoint analysis in marketing. It gives an introduction into the basic ideas of conjoint analysis and describes the steps involved in designing a ratings-based conjoint study. This new revised second edition offers newer methods for estimating utility functions for products with multiple attributes such as Best-Worst Scaling, incorporating non-compensatory aspects, and auction methods. It features new chapters on advanced methods of analysis (e.g., machine-learning based and others) and conjoint analysis with other types of data such as eye tracking, visual design evaluations, search data and GPT, among others. While the focus of the book is on methods in marketing, these methods are also applicable for other business and social sciences.This book is useful to academics, researchers, and scholars applied marketing science. This book is also suitable as a textbook for quantitative marketing coursework.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 564 pp. Englisch. Codice articolo 9783032008930
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides different applications and methods of conjoint analysis in marketing. It gives an introduction into the basic ideas of conjoint analysis and describes the steps involved in designing a ratings-based conjoint study. This new revised second edition offers newer methods for estimating utility functions for products with multiple attributes such as Best-Worst Scaling, incorporating non-compensatory aspects, and auction methods. It features new chapters on advanced methods of analysis (e.g., machine-learning based and others) and conjoint analysis with other types of data such as eye tracking, visual design evaluations, search data and GPT, among others. While the focus of the book is on methods in marketing, these methods are also applicable for other business and social sciences. This book is useful to academics, researchers, and scholars applied marketing science. This book is also suitable as a textbook for quantitative marketing coursework. Codice articolo 9783032008930
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