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

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 a discussion of the directions of current research and perspectives. The Handbook covers the broad area of PLS Methods from Regression to Structural Equation Modeling, from methods to applications, from software to interpretation of results. The Handbook features papers on the use and the analysis of latent variables and indicators by means of the PLS Path Modeling approach from the design of the causal network to the model assessment and improvement. Moreover, within the PLS framework, the Handbook addresses, among others, special and advanced topics such as the analysis of multi-block, multi-group and multi-structured data, the use of categorical indicators, the study of interaction effects, the integration of classification issues, the validation aspects and the comparison between the component-based PLS approach and the covariance-based Structural Equation Modeling. Most chapters comprise a thorough discussion of applications to problems from Marketing and related areas. Furthermore, a few tutorials focus on some key aspects of PLS analysis with a didactic approach. This Handbook serves as both an introduction for those without prior knowledge of PLS as well as a comprehensive reference for researchers and practitioners interested in the most recent advances in PLS methodology.

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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 a discussion of the directions of current research and perspectives. The Handbook covers the broad area of PLS Methods from Regression to Structural Equation Modeling, from methods to applications, from software to interpretation of results. The Handbook features papers on the use and the analysis of latent variables and indicators by means of the PLS Path Modeling approach from the design of the causal network to the model assessment and improvement. Moreover, within the PLS framework, the Handbook addresses, among others, special and advanced topics such as the analysis of multi-block, multi-group and multi-structured data, the use of categorical indicators, the study of interaction effects, the integration of classification issues, the validation aspects and the comparison between the component-based PLS approach and the covariance-based Structural Equation Modeling. Most chapters comprise a thorough discussion of applications to problems from Marketing and related areas. Furthermore, a few tutorials focus on some key aspects of PLS analysis with a didactic approach. This Handbook serves as both an introduction for those without prior knowledge of PLS as well as a comprehensive reference for researchers and practitioners interested in the most recent advances in PLS methodology.

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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 a discussion of the directions of current research and perspectives. The Handbook covers the broad area of PLS Methods from Regression to Structural Equation Modeling, from methods to applications, from software to interpretation of results. The Handbook features papers on the use and the analysis of latent variables and indicators by means of the PLS Path Modeling approach from the design of the causal network to the model assessment and improvement. Moreover, within the PLS framework, the Handbook addresses, among others, special and advanced topics such as the analysis of multi-block, multi-group and multi-structured data, the use of categorical indicators, the study of interaction effects, the integration of classification issues, the validation aspects and the comparison between the component-based PLS approach and the covariance-based Structural Equation Modeling. Most chapters comprise a thorough discussion of applications to problems from Marketing and related areas. Furthermore, a few tutorials focus on some key aspects of PLS analysis with a didactic approach. This Handbook serves as both an introduction for those without prior knowledge of PLS as well as a comprehensive reference for researchers and practitioners interested in the most recent advances in PLS methodology.

Content:
Front Matter....Pages I-XIV
Front Matter....Pages 22-22
Latent Variables and Indices: Herman Wold’s Basic Design and Partial Least Squares....Pages 23-46
PLS Path Modeling: From Foundations to Recent Developments and Open Issues for Model Assessment and Improvement....Pages 47-82
Bootstrap Cross-Validation Indices for PLS Path Model Assessment....Pages 83-97
A Bridge Between PLS Path Modeling and Multi-Block Data Analysis....Pages 99-123
Use of ULS-SEM and PLS-SEM to Measure a Group Effect in a Regression Model Relating Two Blocks of Binary Variables....Pages 125-140
A New Multiblock PLS Based Method to Estimate Causal Models: Application to the Post-Consumption Behavior in Tourism....Pages 141-169
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....Pages 171-193
Finite Mixture Partial Least Squares Analysis: Methodology and Numerical Examples....Pages 195-218
Prediction Oriented Classification in PLS Path Modeling....Pages 219-233
Conjoint Use of Variables Clustering and PLS Structural Equations Modeling....Pages 235-246
Design of PLS-Based Satisfaction Studies....Pages 247-277
A Case Study of a Customer Satisfaction Problem: Bootstrap and Imputation Techniques....Pages 279-287
Comparison of Likelihood and PLS Estimators for Structural Equation Modeling: A Simulation with Customer Satisfaction Data....Pages 289-305
Modeling Customer Satisfaction: A Comparative Performance Evaluation of Covariance Structure Analysis Versus Partial Least Squares....Pages 307-325
PLS in Data Mining and Data Integration....Pages 327-357
Three-Block Data Modeling by Endo- and Exo-LPLS Regression....Pages 359-379
Regression Modelling Analysis on Compositional Data....Pages 381-406
Front Matter....Pages 408-408
PLS and Success Factor Studies in Marketing....Pages 409-425
Applying Maximum Likelihood and PLS on Different Sample Sizes: Studies on SERVQUAL Model and Employee Behavior Model....Pages 427-447
Editorial: Perspectives on Partial Least Squares....Pages 1-20
Front Matter....Pages 408-408
A PLS Model to Study Brand Preference: An Application to the Mobile Phone Market....Pages 449-485
An Application of PLS in Multi-Group Analysis: The Need for Differentiated Corporate-Level Marketing in the Mobile Communications Industry....Pages 487-514
Modeling the Impact of Corporate Reputation on Customer Satisfaction and Loyalty Using Partial Least Squares....Pages 515-534
Reframing Customer Value in a Service-Based Paradigm: An Evaluation of a Formative Measure in a Multi-industry, Cross-cultural Context....Pages 535-566
Analyzing Factorial Data Using PLS: Application in an Online Complaining Context....Pages 567-587
Application of PLS in Marketing: Content Strategies on the Internet....Pages 589-604
Use of Partial Least Squares (PLS) in TQM Research: TQM Practices and Business Performance in SMEs....Pages 605-620
Using PLS to Investigate Interaction Effects Between Higher Order Branding Constructs....Pages 621-652
Front Matter....Pages 654-654
How to Write Up and Report PLS Analyses....Pages 655-690
Evaluation of Structural Equation Models Using the Partial Least Squares (PLS) Approach....Pages 691-711
Testing Moderating Effects in PLS Path Models: An Illustration of Available Procedures....Pages 713-735
A Comparison of Current PLS Path Modeling Software: Features, Ease-of-Use, and Performance....Pages 737-756
Introduction to SIMCA-P and Its Application....Pages 757-774
Interpretation of the Preferences of Automotive Customers Applied to Air Conditioning Supports by Combining GPA and PLS Regression....Pages 775-789
Back Matter....Pages 791-798

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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 a discussion of the directions of current research and perspectives. The Handbook covers the broad area of PLS Methods from Regression to Structural Equation Modeling, from methods to applications, from software to interpretation of results. The Handbook features papers on the use and the analysis of latent variables and indicators by means of the PLS Path Modeling approach from the design of the causal network to the model assessment and improvement. Moreover, within the PLS framework, the Handbook addresses, among others, special and advanced topics such as the analysis of multi-block, multi-group and multi-structured data, the use of categorical indicators, the study of interaction effects, the integration of classification issues, the validation aspects and the comparison between the component-based PLS approach and the covariance-based Structural Equation Modeling. Most chapters comprise a thorough discussion of applications to problems from Marketing and related areas. Furthermore, a few tutorials focus on some key aspects of PLS analysis with a didactic approach. This Handbook serves as both an introduction for those without prior knowledge of PLS as well as a comprehensive reference for researchers and practitioners interested in the most recent advances in PLS methodology.

Content:
Front Matter....Pages I-XIV
Front Matter....Pages 22-22
Latent Variables and Indices: Herman Wold’s Basic Design and Partial Least Squares....Pages 23-46
PLS Path Modeling: From Foundations to Recent Developments and Open Issues for Model Assessment and Improvement....Pages 47-82
Bootstrap Cross-Validation Indices for PLS Path Model Assessment....Pages 83-97
A Bridge Between PLS Path Modeling and Multi-Block Data Analysis....Pages 99-123
Use of ULS-SEM and PLS-SEM to Measure a Group Effect in a Regression Model Relating Two Blocks of Binary Variables....Pages 125-140
A New Multiblock PLS Based Method to Estimate Causal Models: Application to the Post-Consumption Behavior in Tourism....Pages 141-169
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....Pages 171-193
Finite Mixture Partial Least Squares Analysis: Methodology and Numerical Examples....Pages 195-218
Prediction Oriented Classification in PLS Path Modeling....Pages 219-233
Conjoint Use of Variables Clustering and PLS Structural Equations Modeling....Pages 235-246
Design of PLS-Based Satisfaction Studies....Pages 247-277
A Case Study of a Customer Satisfaction Problem: Bootstrap and Imputation Techniques....Pages 279-287
Comparison of Likelihood and PLS Estimators for Structural Equation Modeling: A Simulation with Customer Satisfaction Data....Pages 289-305
Modeling Customer Satisfaction: A Comparative Performance Evaluation of Covariance Structure Analysis Versus Partial Least Squares....Pages 307-325
PLS in Data Mining and Data Integration....Pages 327-357
Three-Block Data Modeling by Endo- and Exo-LPLS Regression....Pages 359-379
Regression Modelling Analysis on Compositional Data....Pages 381-406
Front Matter....Pages 408-408
PLS and Success Factor Studies in Marketing....Pages 409-425
Applying Maximum Likelihood and PLS on Different Sample Sizes: Studies on SERVQUAL Model and Employee Behavior Model....Pages 427-447
Editorial: Perspectives on Partial Least Squares....Pages 1-20
Front Matter....Pages 408-408
A PLS Model to Study Brand Preference: An Application to the Mobile Phone Market....Pages 449-485
An Application of PLS in Multi-Group Analysis: The Need for Differentiated Corporate-Level Marketing in the Mobile Communications Industry....Pages 487-514
Modeling the Impact of Corporate Reputation on Customer Satisfaction and Loyalty Using Partial Least Squares....Pages 515-534
Reframing Customer Value in a Service-Based Paradigm: An Evaluation of a Formative Measure in a Multi-industry, Cross-cultural Context....Pages 535-566
Analyzing Factorial Data Using PLS: Application in an Online Complaining Context....Pages 567-587
Application of PLS in Marketing: Content Strategies on the Internet....Pages 589-604
Use of Partial Least Squares (PLS) in TQM Research: TQM Practices and Business Performance in SMEs....Pages 605-620
Using PLS to Investigate Interaction Effects Between Higher Order Branding Constructs....Pages 621-652
Front Matter....Pages 654-654
How to Write Up and Report PLS Analyses....Pages 655-690
Evaluation of Structural Equation Models Using the Partial Least Squares (PLS) Approach....Pages 691-711
Testing Moderating Effects in PLS Path Models: An Illustration of Available Procedures....Pages 713-735
A Comparison of Current PLS Path Modeling Software: Features, Ease-of-Use, and Performance....Pages 737-756
Introduction to SIMCA-P and Its Application....Pages 757-774
Interpretation of the Preferences of Automotive Customers Applied to Air Conditioning Supports by Combining GPA and PLS Regression....Pages 775-789
Back Matter....Pages 791-798
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