LEADER 04181nam 22005895 450 001 9910299651503321 005 20200630223037.0 010 $a3-319-71691-3 024 7 $a10.1007/978-3-319-71691-6 035 $a(CKB)3840000000347966 035 $a(MiAaPQ)EBC5301893 035 $a(DE-He213)978-3-319-71691-6 035 $a(EXLCZ)993840000000347966 100 $a20180216d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aPartial Least Squares Structural Equation Modeling $eRecent Advances in Banking and Finance /$fedited by Necmi K. Avkiran, Christian M. Ringle 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (243 pages) $cillustrations 225 1 $aInternational Series in Operations Research & Management Science,$x0884-8289 ;$v267 311 $a3-319-71690-5 320 $aIncludes bibliographical references at the end of each chapters and index. 330 $aThis book pulls together robust practices in Partial Least Squares Structural Equation Modeling (PLS-SEM) from other disciplines and shows how they can be used in the area of Banking and Finance. In terms of empirical analysis techniques, Banking and Finance is a conservative discipline. As such, this book will raise awareness of the potential of PLS-SEM for application in various contexts. PLS-SEM is a non-parametric approach designed to maximize explained variance in latent constructs. Latent constructs are directly unobservable phenomena such as customer service quality and managerial competence. Explained variance refers to the extent we can predict, say, customer service quality, by examining other theoretically related latent constructs such as conduct of staff and communication skills. Examples of latent constructs at the microeconomic level include customer service quality, managerial effectiveness, perception of market leadership, etc.; macroeconomic-level latent constructs would be found in contagion of systemic risk from one financial sector to another, herd behavior among fund managers, risk tolerance in financial markets, etc. Behavioral Finance is bound to provide a wealth of opportunities for applying PLS-SEM. The book is designed to expose robust processes in application of PLS-SEM, including use of various software packages and codes, including R. PLS-SEM is already a popular tool in marketing and management information systems used to explain latent constructs. Until now, PLS-SEM has not enjoyed a wide acceptance in Banking and Finance. Based on recent research developments, this book represents the first collection of PLS-SEM applications in Banking and Finance. This book will serve as a reference book for those researchers keen on adopting PLS-SEM to explain latent constructs in Banking and Finance. 410 0$aInternational Series in Operations Research & Management Science,$x0884-8289 ;$v267 606 $aRisk management 606 $aBusiness mathematics 606 $aOperations research 606 $aDecision making 606 $aRisk Management$3https://scigraph.springernature.com/ontologies/product-market-codes/612040 606 $aBusiness Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/523000 606 $aOperations Research/Decision Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/521000 615 0$aRisk management. 615 0$aBusiness mathematics. 615 0$aOperations research. 615 0$aDecision making. 615 14$aRisk Management. 615 24$aBusiness Mathematics. 615 24$aOperations Research/Decision Theory. 676 $a511.42 702 $aAvkiran$b Necmi K$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRingle$b Christian M$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299651503321 996 $aPartial Least Squares Structural Equation Modeling$92515846 997 $aUNINA