04208nam 22005895 450 991029965150332120200630223037.03-319-71691-310.1007/978-3-319-71691-6(CKB)3840000000347966(MiAaPQ)EBC5301893(DE-He213)978-3-319-71691-6(EXLCZ)99384000000034796620180216d2018 u| 0engurcnu||||||||rdacontentrdamediardacarrierPartial Least Squares Structural Equation Modeling[electronic resource] Recent Advances in Banking and Finance /edited by Necmi K. Avkiran, Christian M. Ringle1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (243 pages) illustrationsInternational Series in Operations Research & Management Science,0884-8289 ;2673-319-71690-5 Includes bibliographical references at the end of each chapters and index.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.International Series in Operations Research & Management Science,0884-8289 ;267Risk managementBusiness mathematicsOperations researchDecision makingRisk Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/612040Business Mathematicshttps://scigraph.springernature.com/ontologies/product-market-codes/523000Operations Research/Decision Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/521000Risk management.Business mathematics.Operations research.Decision making.Risk Management.Business Mathematics.Operations Research/Decision Theory.511.42Avkiran Necmi Kedthttp://id.loc.gov/vocabulary/relators/edtRingle Christian Medthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910299651503321Partial Least Squares Structural Equation Modeling2515846UNINA