Partial least squares structural equation modeling: recent advances in banking and finance
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, th...
Gespeichert in:
Weitere Verfasser: | , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Cham, Switzerland
Springer
[2018]
|
Schriftenreihe: | International series in operations research & management science
Volume 267 |
Schlagworte: | |
Online-Zugang: | Inhaltstext Inhaltsverzeichnis |
Zusammenfassung: | 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 |
Beschreibung: | x, 239 Seiten Illustrationen, Diagramme |
ISBN: | 9783319716909 3319716905 |
Internformat
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520 | 3 | |a 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 | |
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Datensatz im Suchindex
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any_adam_object | |
author2 | Avkiran, Necmi K. Ringle, Christian M. 1974- |
author2_role | edt edt |
author2_variant | n k a nk nka c m r cm cmr |
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building | Verbundindex |
bvnumber | BV045440276 |
classification_rvk | QH 240 |
ctrlnum | (OCoLC)1042251006 (DE-599)DNB1142253236 |
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format | Book |
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spelling | Partial least squares structural equation modeling recent advances in banking and finance Necmi K. Avkiran, Christian M. Ringle, editors PLS-SEM Cham, Switzerland Springer [2018] © 2018 x, 239 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier International series in operations research & management science Volume 267 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 Finanzwirtschaft (DE-588)4017214-4 gnd rswk-swf Wirtschaftsmathematik (DE-588)4066472-7 gnd rswk-swf Risikomanagement (DE-588)4121590-4 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Risikomanagement (DE-588)4121590-4 s Finanzwirtschaft (DE-588)4017214-4 s Wirtschaftsmathematik (DE-588)4066472-7 s 2\p DE-604 Avkiran, Necmi K. edt Ringle, Christian M. 1974- (DE-588)122291557 edt Erscheint auch als Online-Ausgabe 978-3-319-71691-6 International series in operations research & management science Volume 267 (DE-604)BV011630976 267 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=34223a7cea994c09b368dd0c3e5444af&prov=M&dok_var=1&dok_ext=htm Inhaltstext V:DE-601;B:DE-206 application/pdf http://www.gbv.de/dms/zbw/1011642263.pdf Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Partial least squares structural equation modeling recent advances in banking and finance International series in operations research & management science Finanzwirtschaft (DE-588)4017214-4 gnd Wirtschaftsmathematik (DE-588)4066472-7 gnd Risikomanagement (DE-588)4121590-4 gnd |
subject_GND | (DE-588)4017214-4 (DE-588)4066472-7 (DE-588)4121590-4 (DE-588)4143413-4 |
title | Partial least squares structural equation modeling recent advances in banking and finance |
title_alt | PLS-SEM |
title_auth | Partial least squares structural equation modeling recent advances in banking and finance |
title_exact_search | Partial least squares structural equation modeling recent advances in banking and finance |
title_full | Partial least squares structural equation modeling recent advances in banking and finance Necmi K. Avkiran, Christian M. Ringle, editors |
title_fullStr | Partial least squares structural equation modeling recent advances in banking and finance Necmi K. Avkiran, Christian M. Ringle, editors |
title_full_unstemmed | Partial least squares structural equation modeling recent advances in banking and finance Necmi K. Avkiran, Christian M. Ringle, editors |
title_short | Partial least squares structural equation modeling |
title_sort | partial least squares structural equation modeling recent advances in banking and finance |
title_sub | recent advances in banking and finance |
topic | Finanzwirtschaft (DE-588)4017214-4 gnd Wirtschaftsmathematik (DE-588)4066472-7 gnd Risikomanagement (DE-588)4121590-4 gnd |
topic_facet | Finanzwirtschaft Wirtschaftsmathematik Risikomanagement Aufsatzsammlung |
url | http://deposit.dnb.de/cgi-bin/dokserv?id=34223a7cea994c09b368dd0c3e5444af&prov=M&dok_var=1&dok_ext=htm http://www.gbv.de/dms/zbw/1011642263.pdf |
volume_link | (DE-604)BV011630976 |
work_keys_str_mv | AT avkirannecmik partialleastsquaresstructuralequationmodelingrecentadvancesinbankingandfinance AT ringlechristianm partialleastsquaresstructuralequationmodelingrecentadvancesinbankingandfinance AT avkirannecmik plssem AT ringlechristianm plssem |