Partial Least Squares Structural Equation Modeling : Recent Advances in Banking and Finance
Language: English
Published by Springer, 2018
Series: Book 256 of 323 - International Series in Operations Research & Management Science
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - 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.…
Seller Inventory # 9783319716909
- Title
- Partial Least Squares Structural Equation Modeling : Recent Advances in Banking and Finance
- Author
- Christian M. Ringle
- Publisher
- Springer
- Publication year
- 2018
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 3319716905
- ISBN 13
- 9783319716909
- Item weight
- 547 grams
- Dimensions
- 241x160x20 mm
- Series
- Book 256 of 323: International Series in Operations Research & Management Science
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.
"Synopsis" may belong to another edition of this title.
About the Author
He is a member of the Australian Society for Operations Research (ASOR), and FINSIA.
Christian M. Ringle is a Chaired Professor of Management at the Hamburg University of Technology (TUHH) and a Conjoint Professor at the Faculty of Business Law at the University of Newcastle. His research addresses the management of organizations, strategic and human resource management, marketing, and quantitative methods for business and market research. His research in these fields has been published in well-known journals such as Annals of Tourism Research, International Journal of Research in Marketing, Information Systems Research, Journal of Business Research, Journal of Service Research, Journal of the Academy of Marketing Science, Long Range Planning, MIS Quarterly, and Tourism Management. He is a cofounder of SmartPLS, a statistical software tool with a graphical user interface for partial least squares structural equation modeling (PLS-SEM).
"About the title" may belong to another edition of this title.
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