Overview
- Presents the latest developments in partial least squares path modeling (PLS-PM)
- Shows the theoretical and methodological advances in PLS-PM as well as real-world applications
- Edited by prominent names in the field, the new edition features entirely new contributions by expert authors
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Table of contents (14 chapters)
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Front Matter
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Basic Concepts and Extensions
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Front Matter
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Methodological Issues
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Front Matter
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Applications
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Front Matter
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Back Matter
Keywords
- Partial Least Squares Path Modeling
- Partial Least Squares Structural Equation Modeling
- Composite-based Path Modeling
- Predictive Path Modeling
- PLS Software
- PLS-PM
- PLS-SEM
- Necessary Condition Analysis
- Importance-Performance Map Analysis
- Multivariate Analysis
- Non-parametric Inference
- Structural Equation Modeling
- Partial Least Squares
- PLS
- Applications of PLS-PM
- Applications of PLS-SEM
About this book
Now in its second edition, this edited book presents recent progress and techniques in partial least squares path modeling (PLS-PM), and provides a comprehensive overview of the current state-of-the-art in PLS-PM research. Like the previous edition, the book is divided into three parts: the first part emphasizes the basic concepts and extensions of the PLS-PM method; the second part discusses the methodological issues that have been the focus of recent developments, and the last part deals with real-world applications of the PLS-PM method in various disciplines.
This new edition broadens the scope of the first edition and consists of entirely new original contributions, again written by expert authors in the field, on a wide range of topics, including: how to perform quantile composite path modeling with R; the rationale and justification for using PLS-PM in top-tier journals; psychometric properties of three weighting schemes and why PLS-PM is a better fit to mode B; a comprehensive review of PLS software; how to perform out-of-sample predictions with ordinal consistent partial least squares; multicollinearity issues in PLS-PM using ridge regression; theorizing and testing specific indirect effects in PLS and considering their effect size; how to run hierarchical models and available approaches; and how to apply necessary condition analysis (NCA) in PLS-PM.
This book will appeal to researchers interested in the latest advances in PLS-PM as well as masters and Ph.D. students in a variety of disciplines who use PLS-PM methods. With clear guidelines on selecting and using PLS-PM, especially those related to composite models, readers will be brought up to date on recent debates in the field.
Editors and Affiliations
About the editors
Hengky Latan currently serves as research director at the FTD Institute and senior researcher at HLC Consulting. He has authored over 15 books, including Covariance Structure Analysis, PLS Path Modeling and Generalized Structure Component Analysis for Structural Equation Modeling approaches and several multivariate analysis books using IBM SPSS and Stata. He is also the Editor-in-Chief of the edited book on PLS-PM published by Springer (Cham). His current research addresses business ethics, sustainability, human resource management, innovation and quantitative methods. He has published over 45 articles, most of them in leading international journals such as the Journal of Business Ethics, Human Resource Management Journal, International Journal of Production Economics, Ecological Economics, Technological Forecasting & Social Change, Journal of Business Research, Journal of International Management, andothers. He frequently publishes in FT50, CABS4, CNRS1 and FNEGE1 journals. According to Google Scholar, his works have been cited more than 12,500 times (H-Index = 43) in just 8 years of his academic career.
Joseph F. Hair, Jr is the Director of the Ph.D. Program in Business Administration, Mitchell College of Business, University of South Alabama, U.S.A. He is ranked #1 globally in Multivariate Data Analysis, SEM, and PLS-SEM, and his career citations exceed 340,000, with H-Index 109 and I-10 461. He has co-authored over 100 editions of his books, including: Multivariate Data Analysis (2019); Essentials of Business Research Methods (2023); A Primer on Partial Least Squares Structural Equation Modeling (2022); Advanced Issues in Partial Least Squares Structural Equation Modeling (2023); A Primer on Partial Least Squares Structural Equation Modeling: R Version (2021); and Essentials of Marketing Analytics (2024). He has published over 160 articles in scholarly journals such as the Journal of Marketing Research, Journal of Academy of Marketing Science, Organizational Research Methods, Harvard Business Review, European Journal of Marketing, Journal of Family Business Strategy, European Management Journal, and others.
Richard Noonan, studied Economics of Education at Columbia University, NY (Ed.D.), and Stockholm University, Sweden (Ph.D.). He served as Research Officer with the International Association for the Evaluation of Educational Achievement (IEA) and later as Associate Professor at the Institute of International Education, Stockholm University, Sweden. As an education economist, he served as consultant to UNESCO, World Bank, Asian Development Bank, the International Labour Organization, and many other multilateral and bilateral international development agencies. He has published numerous articles and several books on education systems, with an emphasis on quantitative analysis, including the use of PLS in the analysis of education and training systems. He retired in 2012 and devotes his time to writing.
Bibliographic Information
Book Title: Partial Least Squares Path Modeling
Book Subtitle: Basic Concepts, Methodological Issues and Applications
Editors: Hengky Latan, Joseph F. Hair, Jr., Richard Noonan
DOI: https://doi.org/10.1007/978-3-031-37772-3
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-37771-6Published: 15 November 2023
Softcover ISBN: 978-3-031-37774-7Due: 16 December 2023
eBook ISBN: 978-3-031-37772-3Published: 14 November 2023
Edition Number: 2
Number of Pages: XXXVI, 472
Number of Illustrations: 62 b/w illustrations, 28 illustrations in colour
Topics: Statistical Theory and Methods, Statistics for Business, Management, Economics, Finance, Insurance, Statistics and Computing/Statistics Programs, Statistics for Social Sciences, Humanities, Law, Econometrics, Statistical Theory and Methods