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Advanced Issues in Partial Least Squares Structural Equation Modeling
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Table of Contents

Preface About the Authors Chapter 1: An Overview of Recent and Emerging Developments in PLS-SEM Chapter Preview Origins and Evolution of Partial Least Squares Structural Equation Modeling Measurement Model Estimation PLS-SEM or CB-SEM? Organization of the Remaining Chapters Case Study Illustration Summary Review Questions Critical Thinking Questions Key Terms Suggested Readings Chapter 2: Advanced Modeling Chapter Preview Hierarchical Component Models Nonlinear Relationships Summary Review Questions Critical Thinking Questions Key Terms Suggested Readings Chapter 3: Advanced Model Assessment Chapter Preview Confirmatory Tetrad Analysis Importance-Performance Map Analysis Summary Review Questions Critical Thinking Questions Key Terms Suggested Readings Chapter 4: Modeling Observed Heterogeneity Chapter Preview Observed and Unobserved Heterogeneity Testing Measurement Model Invariance Nonparametric Tests Case Study Illustration-Invariance Assessment and Multigroup Analysis Summary Review Questions Critical Thinking Questions Key Terms Suggested Readings Chapter 5: Modeling Unobserved Heterogeneity Chapter Preview Case Study Illustration-Latent Class Analysis Summary Review Questions Critical Thinking Questions Key Terms Suggested Readings Glossary References Author Index Subject Index

About the Author

Joe F. Hair, Jr. is Professor of Marketing, DBA Director and the Cleverdon Chair of Business in the Mitchell College of Business, University of South Alabama. He previously was Senior Scholar, DBA Program, Coles College of Business, Kennesaw State University, held the Copeland Endowed Chair of Entrepreneurship and was Director, Entrepreneurship Institute, Ourso College of Business Administration, Louisiana State University. He has authored over 60 books, including Multivariate Data Analysis (7th edition, 2010) (cited 140,000+ times), MKTG (10th edition, 2016), Essentials of Business Research Methods (2016), and Essentials of Marketing Research (4th edition, 2017). He also has published numerous articles in scholarly journals and was recognized as the Academy of Marketing Science Marketing Educator of the year. A popular guest speaker, Professor Hair often presents seminars on research techniques, multivariate data analysis, and marketing issues for organizations in Europe, Australia, China, India, and South America. Marko Sarstedt is Chaired Professor of Marketing at the Otto-von-Guericke-University Magdeburg (Germany) and Conjoint Professor to the Faculty of Business and Law at the University of Newcastle (Australia). He previously was an Assistant Professor of Quantitative Methods in Marketing and Management at the Ludwig-Maximilians-University Munich (Germany). His main research is in the application and advancement of structural equation modeling methods to further the understanding of consumer behavior and to improve marketing decision-making. His research has been published in journals such as Journal of Marketing Research, Journal of the Academy of Marketing Science, Organizational Research Methods, MIS Quarterly, International Journal of Research in Marketing, Long Range Planning, Journal of World Business, and Journal of Business Research. According to the Handelsblatt ranking, Sarstedt is among the top three young academic marketing researchers in Germany. He regularly teaches doctoral seminars on multivariate statistics, structural equation modeling, and measurement worldwide. Christian M. Ringle is a Chaired Professor of Management at the Hamburg University of Technology (Germany) and Conjoint Professor at the Faculty of Business Law at the University of Newcastle (Australia). He holds a master's degree in business administration from the University of Kansas and received his doctor of philosophy from the University of Hamburg (Germany). His widely published research addresses the management of organizations, strategic and human resource management, marketing, and quantitative methods for business and market research. He is cofounder of SmartPLS (http://www.smartpls.com), a software tool with a graphical user interface for the application of the partial least squares structural equation modeling (PLS-SEM) method. Besides supporting consultancies and international corporations, he regularly teaches doctoral seminars on multivariate statistics, the PLS-SEM method, and the use of SmartPLS worldwide. More information about Christian M. Ringle and his full list of publications can be found at http://www.tuhh.de/hrmo/team/prof-dr-c-m-ringle.html. Siegfried P. Gudergan is a Chaired Professor of Strategy at Newcastle Business School within the University of Newcastle (Australia). He previously was Head of School and Professor of Marketing at UTS Business School within the University of Technology, Sydney (Australia). He holds a PhD from the Australian Graduate School of Management that was awarded by both the University of Sydney and the University of New South Wales. His research focuses on managerial decision-making and is applied to strategic management issues. Some of his work that concerns PLS-SEM has appeared in journals such the Journal of the Academy of Marketing Science, Long Range Planning and Journal of Business Research. He has been the primary advisor for doctoral students who have been awarded, for example, an Honorable Mention as finalist for the Dissertation Award of the Academy of Management's Business Policy & Strategy Division and the Best PhD Paper Award by the Strategic Management Society.

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