000			03644nam a22005175i 4500
001			978-3-540-87753-0
003			DE-He213
005			20200420211740.0
007			cr nn 008mamaa
008			140220s2014 gw | s |||| 0|eng d
020			_a9783540877530 _9978-3-540-87753-0
024	7		_a10.1007/978-3-540-87753-0 _2doi
050		4	_aHF5410-5417.5
072		7	_aKJS _2bicssc
072		7	_aKJSM _2bicssc
072		7	_aBUS043000 _2bisacsh
082	0	4	_a658.8 _223
100	1		_aRao, Vithala R. _eauthor.
245	1	0	_aApplied Conjoint Analysis _h[electronic resource] / _cby Vithala R. Rao.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2014.
300			_aXV, 389 p. 56 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_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.
520			_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.
650		0	_aBusiness.
650		0	_aMarketing.
650		0	_aMarket research.
650		0	_aOperations research.
650		0	_aDecision making.
650		0	_aStatistics.
650	1	4	_aBusiness and Management.
650	2	4	_aMarketing.
650	2	4	_aStatistics for Business/Economics/Mathematical Finance/Insurance.
650	2	4	_aMarket Research/Competitive Intelligence.
650	2	4	_aOperation Research/Decision Theory.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783540877523
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-540-87753-0
912			_aZDB-2-SBE
942			_cEBK
999			_c50630 _d50630