Partial Least Squares Structural Equation Modeling

Recent Advances in Banking and Finance

Business & Finance, Management & Leadership, Operations Research, Industries & Professions, Insurance
Cover of the book Partial Least Squares Structural Equation Modeling by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319716916
Publisher: Springer International Publishing Publication: February 16, 2018
Imprint: Springer Language: English
Author:
ISBN: 9783319716916
Publisher: Springer International Publishing
Publication: February 16, 2018
Imprint: Springer
Language: English

This book pulls together robust practices in Partial Least Squares Structural Equation Modeling (PLS-SEM) from other disciplines and shows how they can be used in the area of Banking and Finance. In terms of empirical analysis techniques, Banking and Finance is a conservative discipline. As such, this book will raise awareness of the potential of PLS-SEM for application in various contexts. PLS-SEM is a non-parametric approach designed to maximize explained variance in latent constructs. Latent constructs are directly unobservable phenomena such as customer service quality and managerial competence. Explained variance refers to the extent we can predict, say, customer service quality, by examining other theoretically related latent constructs such as conduct of staff and communication skills.

Examples of latent constructs at the microeconomic level include customer service quality, managerial effectiveness, perception of market leadership, etc.; macroeconomic-level latent constructs would be found in contagion of systemic risk from one financial sector to another, herd behavior among fund managers, risk tolerance in financial markets, etc. Behavioral Finance is bound to provide a wealth of opportunities for applying PLS-SEM. The book is designed to expose robust processes in application of PLS-SEM, including use of various software packages and codes, including R.

PLS-SEM is already a popular tool in marketing and management information systems used to explain latent constructs. Until now, PLS-SEM has not enjoyed a wide acceptance in Banking and Finance. Based on recent research developments, this book represents the first collection of PLS-SEM applications in Banking and Finance. This book will serve as a reference book for those researchers keen on adopting PLS-SEM to explain latent constructs in Banking and Finance.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book pulls together robust practices in Partial Least Squares Structural Equation Modeling (PLS-SEM) from other disciplines and shows how they can be used in the area of Banking and Finance. In terms of empirical analysis techniques, Banking and Finance is a conservative discipline. As such, this book will raise awareness of the potential of PLS-SEM for application in various contexts. PLS-SEM is a non-parametric approach designed to maximize explained variance in latent constructs. Latent constructs are directly unobservable phenomena such as customer service quality and managerial competence. Explained variance refers to the extent we can predict, say, customer service quality, by examining other theoretically related latent constructs such as conduct of staff and communication skills.

Examples of latent constructs at the microeconomic level include customer service quality, managerial effectiveness, perception of market leadership, etc.; macroeconomic-level latent constructs would be found in contagion of systemic risk from one financial sector to another, herd behavior among fund managers, risk tolerance in financial markets, etc. Behavioral Finance is bound to provide a wealth of opportunities for applying PLS-SEM. The book is designed to expose robust processes in application of PLS-SEM, including use of various software packages and codes, including R.

PLS-SEM is already a popular tool in marketing and management information systems used to explain latent constructs. Until now, PLS-SEM has not enjoyed a wide acceptance in Banking and Finance. Based on recent research developments, this book represents the first collection of PLS-SEM applications in Banking and Finance. This book will serve as a reference book for those researchers keen on adopting PLS-SEM to explain latent constructs in Banking and Finance.

More books from Springer International Publishing

Cover of the book A Revised Consent Model for the Transplantation of Face and Upper Limbs: Covenant Consent by
Cover of the book Design, User Experience, and Usability: Design Thinking and Methods by
Cover of the book Problems in Classical and Quantum Mechanics by
Cover of the book Protocols and Methodologies in Basic Science and Clinical Cardiac MRI by
Cover of the book Artificial Intelligence and Soft Computing by
Cover of the book Converging Clinical and Engineering Research on Neurorehabilitation II by
Cover of the book Queens Matter in Early Modern Studies by
Cover of the book Advances in Physical Ergonomics and Human Factors by
Cover of the book Mathematical Modeling and Optimization of Complex Structures by
Cover of the book The IoT Physical Layer by
Cover of the book Catalysis with Supported Size-selected Pt Clusters by
Cover of the book An Introduction to Frames and Riesz Bases by
Cover of the book System-Level Design Methodologies for Telecommunication by
Cover of the book Leading Strategic Change in an Era of Healthcare Transformation by
Cover of the book Digital Subsampling Phase Lock Techniques for Frequency Synthesis and Polar Transmission by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy