A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)

A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)

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PLS-SEM is evolving as a statistical modeling technique and its use has increased exponentially in recent years within a variety of disciplines, due to the recognition that PLS-SEM's distinctive methodological features make it a viable alternative to the more popular covariance-based SEM approach. This text-the only comprehensive book available to explain the fundamental aspects of the method-includes extensive examples on SmartPLS software, and is accompanied by multiple data sets that are available for download from the accompanying website (www.pls-sem.com).

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Product details

  • Paperback | 328 pages
  • 152.4 x 226.06 x 25.4mm | 430.91g
  • SAGE Publications Inc
  • Thousand Oaks, United States
  • English
  • 1452217440
  • 9781452217444
  • 115,049

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The text is well written and relatively easy to understand. It provides abundant information without being overwhelming. It is very current. -- Eleanor Witta The author provided a great deal of practical advice on a variety of tangentially related topics that I think is great for students. -- Richard S. Mohn The book is of good quality as its content is easy-to-read, comprehensive, and up-to-date. Tourism researchers are highly recommended to read this book if they want to catch up with the latest trend of application of SEM techniques. -- Lawrence Hoc Nang Fong and Rob Law European Journal of Tourism Management

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About Joseph F. Hair

Dr. Joe Hair is Founder and Senior Scholar of the Doctoral Degree in Business Administration, Coles College, Kennesaw State University, USA. He previously held the Copeland Endowed Chair of Entrepreneurship and was Director, Entrepreneurship Institute, Ourso College of Business Administration, Louisiana State University. He has authored over 40 books, including Multivariate Data Analysis, Prentice-Hall, 7th edition, 2010 (cited 22,000+ times); Marketing, South-Western Publishing Company, 12th edition 2012; Essentials of Business Research Methods, M.E. Sharpe, 2011; Research Methods for Business, Wiley, 2007; and Essentials of Marketing Research, McGraw-Hill/Irwin, 3rd edition 2013. He also has published numerous articles in scholarly journals such as the Journal of Marketing Research, Journal of Academy of Marketing Science, Journal of Business/Chicago, Journal of Advertising Research, Journal of Business Research, Journal of Long Range Planning, Journal of Marketing Theory and Practice, International Marketing Review, Journal of Experimental Education, Business Horizons, Journal of Retailing, Multivariate Behavioral Research, and others. He was recognized as the 2011 Academy of Marketing Science Marketing Educator of the year. He often presents seminars on research techniques, multivariate data analysis and marketing issues for organizations in Europe, Australia and other locations outside the U.S. Dr. G. Tomas M. Hult is the Eli Broad Professor of Marketing and International Business and Director of the International Business Center in the Eli Broad College of Business at Michigan State University. He has been Executive Director of the Academy of International Business and President of the AIB Foundation since 2004; Editor-in-Chief of the Journal of the Academy of Marketing Science since 2009; and been on the U.S. Department of Commerce's District Export Council since 2012. Professor Hult is one of some 80 elected Fellows of the Academy of Internat. He regularly teaches doctoral seminars on multivariate statistics, structural equation modeling, and hierarchical linear modeling worldwide. Dr. Hult is a dual citizen of Sweden and the USA. More information about Tomas Hult can be found at tomashult.com. Dr. Christian M. Ringle is a Full Professor and Managing Director of the Institute for Human Resource Management and Organizations (www.tuhh.de/hrmo) at the Hamburg University of Technology (TUHH) and Visiting Professor at the Faculty of Business, and Law Professor at the University of Newcastle (Australia). He holds a Master's degree in Business Administration from the University of Kansas (KU), received his Doctor of Philosophy from the University of Hamburg (UHH), and has been a Visiting Researcher at various distinguished universities. His research mainly addresses the management of organizations, strategic and human resource management, marketing, as well as quantitative methods for business and market research. His research in these fields has been published in well-known journals such as Advances in International Marketing, International Journal of Research in Marketing, Journal of Business Research, Journal of Marketing Theory and Practice, Journal of Service Research, Journal of the Academy of Marketing Science, Long Range Planning, and MIS Quarterly. Dr. Ringle is co-founder and the Managing Director of SmartPLS (www.smaprtpls.com). SmartPLS is 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 with their projects, he regularly teaches doctoral seminars on multivariate statistics, the PLS-SEM method, and the use of SmartPLS worldwide. Dr. Marko Sastedt is Professor of Marketing at the Otto-von-Guericke-University Magdeburg (Germany) and Visiting Professor to the Faculty of Business and Law at the University of Newcastle (Australia). He has previously been 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 Journal of the Academy of Marketing Science, MIS Quarterly, Long Range Planning, Journal of World Business, and Journal of Business Research, amongst others. According to the 2012 Handelsblatt ranking, Dr. Sarstedt is among the top 5 marketing researchers under the age of 40 in Germany. He regularly teaches doctoral seminars on multivariate statistics, structural equation modeling, and measurement worldwide.

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