Handbook of Partial Least Squares: Concepts, Methods and Applications

813 Pages·2010·5.95 MB·English

by  Vincenzo Esposito Vinzi

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
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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