Rao | Applied Conjoint Analysis | Buch | 978-3-032-00893-0 | www.sack.de

Buch, Englisch, 540 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1002 g

Reihe: Springer Texts in Business and Economics

Rao

Applied Conjoint Analysis

From Product and Service Design to Market and Pricing Strategies
2. Auflage 2026
ISBN: 978-3-032-00893-0
Verlag: Springer

From Product and Service Design to Market and Pricing Strategies

Buch, Englisch, 540 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1002 g

Reihe: Springer Texts in Business and Economics

ISBN: 978-3-032-00893-0
Verlag: Springer


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.

Rao Applied Conjoint Analysis jetzt bestellen!

Zielgruppe


Upper undergraduate


Autoren/Hrsg.


Weitere Infos & Material


Chapter 1 Introduction.- Chapter 2 Relevant Consumer Behavior Paradigms.- Chapter 3 Theory Design of Ratings-Based Conjoint Studies.- Chapter 4 Analysis and Utilization of Ratings-Based Conjoint Data.- Chapter 5 Choice Based Conjoint Studies: Design and Analysis.- Chapter 6 Methods for a Large Number of Attributes.- Chapter 7 Advance Methods of Analysis (Machine-Learning and other).- Chapter 8 Non-compensatory Models for Conjoint Analysis.- Chapter 9Applications for Products and Service Design and Market Segmentation.- Chapter 10 Applications for Product Positioning and Market Segmentation.- Chapter 11 Applications for Pricing Decisions.- Chapter 12 Applications to a Miscellany of Marketing Problems.- Chapter 13 Conjoint Analysis with Other Types of Data.- Chapter 14 Recent Developments and Future Outlook.- Chapter15An Interdisciplinary Review of Research in Conjoint Analysis:Recent Developments and Directions for Future Research.- Chapter16 Sawtooth Software’s Influence on the Conjoint Analysis Industry.


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 (Springer, 2014) and (Edward Elgar Publishing, 2023). Dr. Rao serves as a Senior Editor on the editorial board of 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.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.