Handbook of Partial Least Squares

1. Editorial: Perspectives on Partial Least Squares
Vincenzo Esposito Vinzi, Wynne W. Chin, Jörg Henseler, Huiwen Wang

2. Latent Variables and Indices: Herman Wold’s Basic Design and Partial Least Squares
Theo K. Dijkstra

3. PLS Path Modeling: From Foundations to Recent Developments and Open Issues for Model Assessment and Improvement
Vincenzo Esposito Vinzi, Laura Trinchera, Silvano Amato

4. Bootstrap Cross-Validation Indices for PLS Path Model Assessment
Wynne W. Chin

5. A Bridge Between PLS Path Modeling and Multi-Block Data Analysis
Michel Tenenhaus, Mohamed Hanafi

6. Use of ULS-SEM and PLS-SEM to Measure a Group Effect in a Regression Model Relating Two Blocks of Binary Variables
Michel Tenenhaus, Emmanuelle Mauger, Christiane Guinot

7. A New Multiblock PLS Based Method to Estimate Causal Models: Application to the Post-Consumption Behavior in Tourism
Francisco Arteaga, Martina G. Gallarza, Irene Gil

8. An Introduction to a Permutation Based Procedure for Multi-Group PLS Analysis: Results of Tests of Differences on Simulated Data and a Cross Cultural Analysis of the Sourcing of Information System Services Between Germany and the USA
Wynne W. Chin, Jens Dibbern

9. Finite Mixture Partial Least Squares Analysis: Methodology and Numerical Examples
Christian M. Ringle, Sven Wende, Alexander Will

10. Prediction Oriented Classification in PLS Path Modeling
Silvia Squillacciotti

11. Conjoint Use of Variables Clustering and PLS Structural Equations Modeling
Valentina Stan, Gilbert Saporta

12. Design of PLS-Based Satisfaction Studies
Kai Kristensen, Jacob Eskildsen

13. A Case Study of a Customer Satisfaction Problem: Bootstrap and Imputation Techniques
Clara Cordeiro, Alexandra Machás, Maria Manuela Neves

14. Comparison of Likelihood and PLS Estimators for Structural Equation Modeling: A Simulation with Customer Satisfaction Data
Manuel J. Vilares, Maria H. Almeida, Pedro S. Coelho

15. Modeling Customer Satisfaction: A Comparative Performance Evaluation of Covariance Structure Analysis Versus Partial Least Squares
John Hulland, Michael J. Ryan, Robert K. Rayner

16. PLS in Data Mining and Data Integration
Svante Wold, Lennart Eriksson, Nouna Kettaneh

17. Three-Block Data Modeling by Endo- and Exo-LPLS Regression
Solve Sæbø, Magni Martens, Harald Martens

18. Regression Modelling Analysis on Compositional Data
Huiwen Wang, Jie Meng, Michel Tenenhaus

19. PLS and Success Factor Studies in Marketing
Sönke Albers

20. Applying Maximum Likelihood and PLS on Different Sample Sizes: Studies on SERVQUAL Model and Employee Behavior Model
Carmen Barroso, Gabriel Cepeda Carrión, José L. Roldán

21. A PLS Model to Study Brand Preference: An Application to the Mobile Phone Market
Paulo Alexandre O. Duarte, Mário Lino B. Raposo

22. An Application of PLS in Multi-Group Analysis: The Need for Differentiated Corporate-Level Marketing in the Mobile Communications Industry
Markus Eberl

23. Modeling the Impact of Corporate Reputation on Customer Satisfaction and Loyalty Using Partial Least Squares
Sabrina Helm, Andreas Eggert, Ina Garnefeld

24. Reframing Customer Value in a Service-Based Paradigm: An Evaluation of a Formative Measure in a Multi-industry, Cross-cultural Context
David Martín Ruiz, Dwayne D. Gremler, Judith H. Washburn, Gabriel Cepeda Carrión

25. Analyzing Factorial Data Using PLS: Application in an Online Complaining Context
Sandra Streukens, Martin Wetzels, Ahmad Daryanto, Ko Ruyter

26. Application of PLS in Marketing: Content Strategies on the Internet
Silvia Boßow-Thies, Sönke Albers

27. Use of Partial Least Squares (PLS) in TQM Research: TQM Practices and Business Performance in SMEs
Ali Turkyilmaz, Ekrem Tatoglu, Selim Zaim, Coskun Ozkan

28. Using PLS to Investigate Interaction Effects Between Higher Order Branding Constructs
Bradley Wilson

29. How to Write Up and Report PLS Analyses
Wynne W. Chin

30. Evaluation of Structural Equation Models Using the Partial Least Squares (PLS) Approach
Oliver Götz, Kerstin Liehr-Gobbers, Manfred Krafft

31. Testing Moderating Effects in PLS Path Models: An Illustration of Available Procedures
Jörg Henseler, Georg Fassott

32. A Comparison of Current PLS Path Modeling Software: Features, Ease-of-Use, and Performance
Dirk Temme, Henning Kreis, Lutz Hildebrandt

33. Introduction to SIMCA-P and Its Application
Zaibin Wu, Dapeng Li, Jie Meng, Huiwen Wang

34. Interpretation of the Preferences of Automotive Customers Applied to Air Conditioning Supports by Combining GPA and PLS Regression
Laure Nokels, Thierry Fahmy, Sébastien Crochemore

Keywords: Statistics, Statistics and Computing/Statistics Programs, Statistical Theory and Methods, Marketing