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024 7 $a10.1007/978-3-540-87753-0
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035   $a(OCoLC)871223740
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035   $a(PQKBTitleCode)TC0001186010
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035   $a(DE-He213)978-3-540-87753-0
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100   $a20140220d2014      u|             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aApplied Conjoint Analysis$b[electronic resource] /$fby Vithala R. Rao
205   $a1st ed. 2014.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2014.
215   $a1 online resource (401 p.)
300   $aDescription based upon print version of record.
311   $a3-540-87752-5 
320   $aIncludes bibliographical references and index.
327   $aChapter1-Problem Setting -- Chapter 2 Theory and Design of Conjoint Studies (Ratings Based Methods) -- Chapter 3 Analysis and Utilization of Conjoint Data (Ratings Based Methods) -- Chapter 4 Choice Based Conjoint Studies: Design and Analysis -- Chapter 5 Methods for a Large Number of Attributes -- Chapter 6 Applications for Products and Service Design and Product Line Decisions -- Chapter 7 Applications for Product Positioning and Market Segmentation -- Chapter 8 Applications for Pricing Decisions -- Chapter 9 Applications to a Miscellany of Marketing Problems -- Chapter 10 Recent Developments and Future Outlook.
330   $aConjoint analysis is probably the most significant development in marketing research in the past few decades. It can be described as a set of techniques ideally suited to studying customers? decision-making processes and determining tradeoffs. Though this book is oriented towards methods and applications of conjoint analysis in marketing, conjoint methods are also applicable for other business and social sciences. After an introduction to the basic ideas of conjoint analysis the book describes the steps involved in designing a ratings-based conjoint study, it covers various methods for estimating partworth functions from preference ratings data, and dedicates a chapter on methods of design and analysis of conjoint-based choice experiments, where choice is measured directly. Chapter 5 describes several methods for handling a large number of attributes. Chapters 6 through 8 discuss the use of conjoint analysis for specific applications like product and service design or product line decisions, product positioning and market segmentation decisions, and pricing decisions. Chapter 9 collates miscellaneous applications of marketing mix including marketing resource allocation or store location decisions. Finally, Chapter 10 reviews more recent developments in experimental design and data analysis and presents an assessment of future developments.
606   $aMarketing
606   $aStatistics 
606   $aMarket research
606   $aOperations research
606   $aDecision making
606   $aMarketing$3https://scigraph.springernature.com/ontologies/product-market-codes/513000
606   $aStatistics for Business, Management, Economics, Finance, Insurance$3https://scigraph.springernature.com/ontologies/product-market-codes/S17010
606   $aMarket Research/Competitive Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/513030
606   $aOperations Research/Decision Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/521000
615  0$aMarketing.
615  0$aStatistics .
615  0$aMarket research.
615  0$aOperations research.
615  0$aDecision making.
615 14$aMarketing.
615 24$aStatistics for Business, Management, Economics, Finance, Insurance.
615 24$aMarket Research/Competitive Intelligence.
615 24$aOperations Research/Decision Theory.
676   $a330
676   $a330.015195
676   $a658.40301
676   $a658.8
700   $aRao$b Vithala R$4aut$4http://id.loc.gov/vocabulary/relators/aut$01059982
906   $aBOOK
912   $a9910298543803321
996   $aApplied Conjoint Analysis$92510041
997   $aUNINA