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010   $a3-032-00894-8
024 7 $a10.1007/978-3-032-00894-7
035   $a(CKB)44770013600041
035   $a(MiAaPQ)EBC32484326
035   $a(Au-PeEL)EBL32484326
035   $a(DE-He213)978-3-032-00894-7
035   $a(EXLCZ)9944770013600041
100   $a20260102d2026      u|         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aApplied Conjoint Analysis $eFrom Product and Service Design to Market and Pricing Strategies /$fby Vithala R. Rao
205   $a2nd ed. 2026.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026.
215   $a1 online resource (793 pages)
225 1 $aSpringer Texts in Business and Economics,$x2192-4341
311 08$a3-032-00893-X 
327   $aChapter 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.
330   $aThis book provides different applications and methods of conjoint analysis in marketing. It gives an introduction into the basic ideas of conjoint analysis and describes the steps involved in designing a ratings-based conjoint study. This new revised second edition offers newer methods for estimating utility functions for products with multiple attributes such as Best-Worst Scaling, incorporating non-compensatory aspects, and auction methods. It features new chapters on advanced methods of analysis (e.g., machine-learning based and others) and conjoint analysis with other types of data such as eye tracking, visual design evaluations, search data and GPT, among others. While the focus of the book is on methods in marketing, these methods are also applicable for other business and social sciences. This book is useful to academics, researchers, and scholars applied marketing science. This book is also suitable as a textbook for quantitative marketing coursework.
410  0$aSpringer Texts in Business and Economics,$x2192-4341
606   $aMarketing research
606   $aBusiness intelligence
606   $aStatistics
606   $aBig data
606   $aMarket Research and Competitive Intelligence
606   $aStatistics in Business, Management, Economics, Finance, Insurance
606   $aBig Data
615  0$aMarketing research.
615  0$aBusiness intelligence.
615  0$aStatistics.
615  0$aBig data.
615 14$aMarket Research and Competitive Intelligence.
615 24$aStatistics in Business, Management, Economics, Finance, Insurance.
615 24$aBig Data.
676   $a658.8343
700   $aRao$b Vithala R$01059982
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9911049189103321
996   $aApplied Conjoint Analysis$92510041
997   $aUNINA