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Handbook of Partial Least Squares: Concepts, Methods and Applications PDF

813 Pages·2010·5.95 MB·English
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Springer Handbooks of Computational Statistics Series Editors James E. Gentle Wolfgang K. Härdle Yuichi Mori For further volumes: http://www.springer.com/series/7286 Vincenzo Esposito Vinzi Wynne W. Chin Jörg Henseler Huiwen Wang Editors Handbook of Partial Least Squares Concepts, Methods and Applications 123 Editor-in-Chief Vincenzo Esposito Vinzi Jörg Henseler ESSEC Business School of Paris and Nijmegen School of Management Singapore Institute for Management Research Department of Information Systems & Radboud Universiteit Nijmegen Decision Sciences 6500 HK Nijmegen Avenue Bernard Hirsch - B.P. 50105 The Netherlands 95021 Cergy-Pontoise Cedex France [email protected] [email protected] Editors Wynne W. Chin Huiwen Wang Bauer Faculty Fellow School of Economic Management Department of Decision and BeiHang University Information Sciences 37, XueYuan Road, HaiDian District C.T. Bauer College of Business Beijing 100191 334 Melcher Hall, room 280D P. R. China University of Houston [email protected] Houston, Texas 77204-6282 [email protected] ISBN 978-3-540-32825-4 e-ISBN 978-3-540-32827-8 DOI 10.1007/978-3-540-32827-8 Springer Heidelberg Dordrecht London New York Library of Congress Control Number: 2009943435 ©Springer-Verlag Berlin Heidelberg 2010 This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. Cover design: deblik, Berlin, Germany Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com) Contents Editorial:PerspectivesonPartialLeastSquares............................... 1 VincenzoEspositoVinzi,WynneW.Chin,Jo¨rgHenseler, andHuiwenWang PartI Methods PLSPathModeling:Concepts,ModelEstimationandAssessment 1 Latent Variablesand Indices: HermanWold’sBasic DesignandPartialLeastSquares........................................... 23 TheoK.Dijkstra 2 PLS Path Modeling: From Foundations to Recent DevelopmentsandOpenIssuesforModelAssessment andImprovement............................................................. 47 VincenzoEspositoVinzi,LauraTrinchera,andSilvanoAmato 3 BootstrapCross-ValidationIndicesforPLSPathModel Assessment .................................................................... 83 WynneW.Chin PLSPathModeling:Extensions 4 A Bridge Between PLS Path Modeling andMulti-BlockDataAnalysis ............................................. 99 MichelTenenhausandMohamedHanafi 5 Use ofULS-SEM andPLS-SEM toMeasureaGroup Effect in a Regression Model Relating Two Blocks ofBinaryVariables...........................................................125 Michel Tenenhaus, Emmanuelle Mauger, andChristianeGuinot v vi Contents 6 ANewMultiblockPLSBasedMethodtoEstimateCausal Models:ApplicationtothePost-ConsumptionBehavior inTourism.....................................................................141 FranciscoArteaga,MartinaG.Gallarza,andIreneGil 7 An Introductionto a PermutationBased Procedure for Multi-Group PLS Analysis: Results of Tests ofDifferencesonSimulatedDataandaCrossCultural AnalysisoftheSourcingofInformationSystemServices BetweenGermanyandtheUSA ............................................171 WynneW.ChinandJensDibbern PLSPathModelingwithClassificationIssues 8 Finite Mixture Partial Least Squares Analysis: MethodologyandNumericalExamples....................................195 ChristianM.Ringle,SvenWende,andAlexanderWill 9 PredictionOrientedClassificationinPLSPathModeling...............219 SilviaSquillacciotti 10 ConjointUseofVariablesClusteringandPLSStructural EquationsModeling..........................................................235 ValentinaStanandGilbertSaporta PLSPathModelingforCustomerSatisfactionStudies 11 DesignofPLS-BasedSatisfactionStudies .................................247 KaiKristensenandJacobEskildsen 12 A Case Study of a Customer SatisfactionProblem: BootstrapandImputationTechniques.....................................279 ClaraCordeiro,AlexandraMacha´s,andMariaManuelaNeves 13 Comparison of Likelihood and PLS Estimators for Structural Equation Modeling: A Simulation withCustomerSatisfactionData ...........................................289 ManuelJ.Vilares,MariaH.Almeida,andPedroS.Coelho 14 Modeling Customer Satisfaction: A Comparative PerformanceEvaluationofCovarianceStructureAnalysis VersusPartialLeastSquares................................................307 JohnHulland,MichaelJ.Ryan,andRobertK.Rayner Contents vii PLSRegression 15 PLSinDataMiningandDataIntegration ................................327 SvanteWold,LennartEriksson,andNounaKettaneh 16 Three-BlockDataModelingby Endo-andExo-LPLS Regression.....................................................................359 SolveSæbø,MagniMartens,andHaraldMartens 17 RegressionModellingAnalysisonCompositionalData..................381 HuiwenWang,Jie Meng,andMichelTenenhaus PartII ApplicationstoMarketingandRelatedAreas 18 PLSandSuccessFactorStudiesinMarketing............................409 So¨nkeAlbers 19 ApplyingMaximumLikelihoodandPLSonDifferent Sample Sizes: Studies on SERVQUAL Model andEmployeeBehaviorModel..............................................427 CarmenBarroso,GabrielCepedaCarrio´n,andJose´ L.Rolda´n 20 APLSModeltoStudyBrandPreference:AnApplication totheMobilePhoneMarket.................................................449 PauloAlexandreO.DuarteandMa´rioLinoB.Raposo 21 An Application of PLS in Multi-Group Analysis: TheNeedforDifferentiatedCorporate-LevelMarketing intheMobileCommunicationsIndustry ..................................487 MarkusEberl 22 Modeling the Impact of Corporate Reputation onCustomerSatisfactionandLoyaltyUsingPartialLeast Squares ........................................................................515 SabrinaHelm,AndreasEggert,andInaGarnefeld 23 Reframing Customer Value in a Service-Based Paradigm: An Evaluationof a Formative Measure inaMulti-industry,Cross-culturalContext...............................535 DavidMartKınRuiz,DwayneD.Gremler,JudithH.Washburn, andGabrielCepedaCarrio´n 24 Analyzing FactorialData Using PLS: Application inanOnlineComplainingContext.........................................567 Sandra Streukens, Martin Wetzels, Ahmad Daryanto, andKodeRuyter viii Contents 25 ApplicationofPLSin Marketing:ContentStrategies ontheInternet ................................................................589 SilviaBoßow-ThiesandSo¨nkeAlbers 26 UseofPartialLeastSquares(PLS)inTQMResearch: TQMPracticesandBusinessPerformanceinSMEs .....................605 Ali Turkyilmaz, Ekrem Tatoglu, Selim Zaim, andCoskunOzkan 27 Using PLStoInvestigateInteractionEffectsBetween HigherOrderBrandingConstructs........................................621 BradleyWilson PartIII Tutorials 28 HowtoWriteUpandReportPLSAnalyses...............................655 WynneW.Chin 29 Evaluation of Structural Equation Models Using thePartialLeastSquares(PLS)Approach................................691 OliverGo¨tz,KerstinLiehr-Gobbers,andManfredKrafft 30 Testing Moderating Effects in PLS Path Models: AnIllustrationofAvailableProcedures....................................713 Jo¨rgHenselerandGeorgFassott 31 AComparisonofCurrentPLSPathModelingSoftware: Features,Ease-of-Use,andPerformance...................................737 DirkTemme,HenningKreis,andLutzHildebrandt 32 IntroductiontoSIMCA-PandItsApplication............................757 ZaibinWu,DapengLi,Jie Meng,andHuiwenWang 33 Interpretation of the Preferences of Automotive Customers Applied to Air Conditioning Supports byCombiningGPAandPLSRegression ..................................775 LaureNokels,ThierryFahmy,andSe´bastienCrochemore Index.................................................................................791 List of Contributors So¨nkeAlbers InstituteofInnovationResearch,Christian-Albrechts-University atKiel,Westring425,24098Kiel,Germany,[email protected] MariaH.Almeida FacultyofEconomics,NewUniversityofLisbon,Campusde Campolide,1099-032Lisbon,Portugal,[email protected] SilvanoAmato DipartimentodiMatematicaeStatistica,Universita`degliStudidi Napoli“FedericoII”,ViaCintia26,ComplessoMonteS.Angelo,80126Napoli, Italy,[email protected] FranciscoArteaga DepartmentofStatistics, UniversidadCato´licadeValencia SanVicenteMartir,GuillemdeCastro,175,Valencia46008,Spain, [email protected] CarmenBarroso ManagementandMarketingDepartment,UniversityofSeville, Ramo´nyCajal,1,41018Sevilla,Spain,[email protected] Silvia Boßow-Thies Capgemini Telecom Media and Networks Deutschland GmbH,NeuesKanzlerEck21,10719Berlin,Germany, [email protected] Gabriel Cepeda Carrio´n Departamento de Administracio´n de Empresas y Marketing, Universidad de Sevilla, Ramo´n y Cajal, 1, 41018 Sevilla, Spain, [email protected] Wynne W. Chin Department of Decision and Information Sciences, Bauer CollegeofBusiness,UniversityofHouston,TX,USA,[email protected] PedroS. Coelho ISEGI– New UniversityofLisbon,Campusde Campolide, 1070-032Lisbon,Portugal,[email protected] Clara Cordeiro Department of Mathematics, FCT, University of Algarve, CampusdeGambelas,8005-139Faro,Portugal,[email protected] Se´bastienCrochemore MaterialsEngineeringDepartment,Technocentre Renault 1, avenue du Golf, API TCR LAB 252, 78 288 GuyancourtCedex, France,[email protected] ix

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The "Handbook of Partial Least Squares (PLS) and Marketing: Concepts, Methods and Applications" is the second volume in the series of the Handbooks of Computational Statistics. This Handbook represents a comprehensive overview of PLS methods with specific reference to their use in Marketing and with
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