Partial least squares structural equation modeling : recent advances in banking and finance /: recent advances in banking and finance. ([2018])
- Record Type:
- Book
- Title:
- Partial least squares structural equation modeling : recent advances in banking and finance /: recent advances in banking and finance. ([2018])
- Main Title:
- Partial least squares structural equation modeling : recent advances in banking and finance
- Further Information:
- Note: Necmi K. Avkiran, Christian M. Ringle, editors.
- Editors:
- Avkiran, Necmi K
Ringle, Christian M - Contents:
- Intro; Preface; Contents; Contributors; Chapter 1: Rise of the Partial Least Squares Structural Equation Modeling: An Application in Banking; 1.1 Introduction; 1.2 On the Choice and Use of Partial Least Squares Structural Equation Modeling; 1.3 Evaluating the PLS-SEM Measurement and Structural Models; 1.3.1 Reflective Measurement Model; 1.3.2 Formative Measurement Model; 1.3.3 Structural Model; 1.3.4 Importance-Performance Map Analysis (IPMA); 1.4 Theoretical Model Behind the Illustrative Banking Example; 1.5 PLS-SEM Analysis; 1.5.1 Importance-Performance Map Analysis (IPMA). 1.5.2 Robustness Testing1.6 Concluding Remarks; References; Chapter 2: Bank Soundness: A PLS-SEM Approach; 2.1 Introduction; 2.2 Literature Review; 2.3 Data Collection; 2.4 Methodology; 2.5 Findings; 2.6 Analysis; 2.7 Conclusions; References; Chapter 3: The Customer Loyalty Cascade and Its Impact on Profitability in Financial Services; 3.1 Introduction; 3.2 The Dynamics of Customer Relationships: A Sequential Model of Profitable Loyalty; 3.2.1 Theoretical Perspectives on Relational Exchanges; 3.2.2 The Customer Loyalty Cascade; 3.2.3 The Impact of Loyalty on Profitability. 3.3 Research Design3.3.1 Sample and Data Collection; 3.3.2 Research Model and Analysis Technique; 3.3.3 Measures; 3.4 Discussion of Results; 3.4.1 Evaluation of Measurement Models; 3.4.2 Step 1: Analysis of the Loyalty Cascade; 3.4.3 Step 2: Impact on Profitability; 3.5 Summary and Conclusions; References;Intro; Preface; Contents; Contributors; Chapter 1: Rise of the Partial Least Squares Structural Equation Modeling: An Application in Banking; 1.1 Introduction; 1.2 On the Choice and Use of Partial Least Squares Structural Equation Modeling; 1.3 Evaluating the PLS-SEM Measurement and Structural Models; 1.3.1 Reflective Measurement Model; 1.3.2 Formative Measurement Model; 1.3.3 Structural Model; 1.3.4 Importance-Performance Map Analysis (IPMA); 1.4 Theoretical Model Behind the Illustrative Banking Example; 1.5 PLS-SEM Analysis; 1.5.1 Importance-Performance Map Analysis (IPMA). 1.5.2 Robustness Testing1.6 Concluding Remarks; References; Chapter 2: Bank Soundness: A PLS-SEM Approach; 2.1 Introduction; 2.2 Literature Review; 2.3 Data Collection; 2.4 Methodology; 2.5 Findings; 2.6 Analysis; 2.7 Conclusions; References; Chapter 3: The Customer Loyalty Cascade and Its Impact on Profitability in Financial Services; 3.1 Introduction; 3.2 The Dynamics of Customer Relationships: A Sequential Model of Profitable Loyalty; 3.2.1 Theoretical Perspectives on Relational Exchanges; 3.2.2 The Customer Loyalty Cascade; 3.2.3 The Impact of Loyalty on Profitability. 3.3 Research Design3.3.1 Sample and Data Collection; 3.3.2 Research Model and Analysis Technique; 3.3.3 Measures; 3.4 Discussion of Results; 3.4.1 Evaluation of Measurement Models; 3.4.2 Step 1: Analysis of the Loyalty Cascade; 3.4.3 Step 2: Impact on Profitability; 3.5 Summary and Conclusions; References; Chapter 4: Corporate Reputation: The Importance of Service Quality and Relationship Investment; 4.1 Introduction; 4.2 Theoretical Reasoning and Research Framework; 4.2.1 Corporate Reputation; 4.2.2 Signalling Theory; 4.2.3 Social Exchange Theory. 4.2.4 Antecedents of Corporate Reputation4.2.4.1 Service Quality; 4.2.4.2 The Mediating Role of Perceived Relationship Investment in the Relationship Between Service Quality and Corporate Reputation; 4.2.5 Consequences of Corporate Reputation; 4.2.5.1 Relationship Loyalty; 4.3 Method; 4.3.1 Study Context and Sample; 4.3.2 Conceptualisation and Operationalisation of Constructs; 4.3.3 Data Analysis; 4.4 Findings; 4.4.1 Outer Model Assessment; 4.4.2 Inner Model Assessment; 4.4.3 Measurement Invariance Assessment; 4.4.4 Cross-Country Comparison of Causal Relationships. 4.4.5 Pooled Data Model Assessment4.5 Discussion and Conclusions; 4.5.1 Research Implications; 4.5.2 Managerial Implications; 4.5.3 Limitations and Further Research Directions; Appendix 4.1; Appendix 4.2; References; Chapter 5: The Compliance Index Model: Mitigating Compliance Risks by Applying PLS-SEM to Measure the Perceived Effectiveness of Compliance Programs; 5.1 Introduction; 5.2 The Compliance Index Model and Methodology; 5.2.1 Model Specification; 5.2.2 Specifying the Path Model; 5.2.3 Specifying the Measurement Models; 5.2.4 The Compliance Index Model Equations. … (more)
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2018
- Extent:
- 1 online resource
- Subjects:
- 511/.42
Finance
Least squares
Structural equation modeling
Finance -- Mathematical models
MATHEMATICS -- General
Finance -- Mathematical models
Least squares
Structural equation modeling
Business & Economics -- Business Mathematics
Business & Economics -- Operations Research
Business mathematics & systems
Operational research
Risk management
Business mathematics
Operations research
Business & Economics -- Insurance -- Risk Assessment & Management
Management & management techniques
Electronic books - Languages:
- English
- ISBNs:
- 9783319716916
3319716913 - Related ISBNs:
- 9783319716909
3319716905 - Notes:
- Note: Includes bibliographical references and index.
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