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

Joseph (Joe) F. (Franklin) Hair , G. Tomas M. Hult , Christian M. Ringle , Marko Sarstedt
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Book Description

14 May 2013 1452217440 978-1452217444
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
  • Publisher: SAGE Publications, Inc (14 May 2013)
  • Language: English
  • ISBN-10: 1452217440
  • ISBN-13: 978-1452217444
  • Product Dimensions: 23.6 x 15.5 x 1.8 cm
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Bestsellers Rank: 338,263 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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Review

The text is well written and relatively easy to understand. It provides abundant information without being overwhelming. It is very current. (Eleanor Witta 2012-11-21)

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 2012-11-21)

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)

About the Author

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 International Business. He is one of the world’s leading authorities in global strategy, with a particular focus on topics dealing with the intersection of global marketing and supply chain management. Hult was ranked the 75th “most-cited scientist in economics and business” in the world by Thomson Reuters in their Essential Science Indicators covering a period from 1997 to 2007. In a 2012 study in the Academy of Management Perspectives, Hult was ranked 6th among business scholars who received their degrees since 1991. His research has been cited more than 10,000 times per Google Scholar. Hult has been Deputy Editor and Department Editor of the Journal of International Business Studies; Associate Editor of Decision Sciences and Journal of Operations Management; and currently serves as Associate Editor of the Journal of Supply Chain Management as well as on the review boards of the Journal of Marketing, Academy of Management Journal, Strategic Management Journal, and Journal of Retailing. 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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Most Helpful Customer Reviews
5.0 out of 5 stars Great book! 5 Nov 2013
By Mike
Format:Paperback
The book is written in a plain language. It is a must for anyone who wants to get thorough understanding of the PLS-SEM
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5.0 out of 5 stars A must have for research students 24 July 2014
By Bunditt
Format:Paperback|Verified Purchase
A must have for anybody who want to use PLS-SEM for their data analysis. Easy to read and understand, and up-to-date. Love the examples given at the end of each chapter - great step-by-step toturial for Smart-PLS software :)
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Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com: 4.8 out of 5 stars  17 reviews
3 of 3 people found the following review helpful
5.0 out of 5 stars Great book! 6 Jun 2013
By Thirty_plus - Published on Amazon.com
Format:Paperback|Verified Purchase
This book has been written by the renowned authors in PLS-SEM, including the lead developer of SmartPLS. The contents are built up from the basics to more advanced discussions; focusing not only on the theoretical background but also on technical aspects. In short, new and existing users of PLS-SEM, and SmartPLS in particular, will benefit a lot from reading this book because the contents are very comprehensive. Many issues pertaining to PLS-SEM are addressed well in this book, such as how to calculate q^square (this issue is often asked by students who use SmartPLS) and how does blindfolding work. I strongly recommend this book to all researchers using PLS-SEM as well as postgraduate students.
2 of 2 people found the following review helpful
5.0 out of 5 stars Very informative 27 July 2013
By David A. Bryant - Published on Amazon.com
Format:Paperback|Verified Purchase
This is a great book. It is easy to understand and provides excellent examples. If I was still teaching advanced research methods, I would seriously consider this book as a text for the class.
2 of 2 people found the following review helpful
5.0 out of 5 stars Basically what you need for a PLS handbook! 8 Jun 2013
By Hector Tsai - Published on Amazon.com
Format:Paperback|Verified Purchase
I read it in three days and followed through all the analysis chapter by chapter on smart-PLS.
It was good for beginners. It would be better if it teaches us how to handle common method bias.
1 of 1 people found the following review helpful
5.0 out of 5 stars Excellent resource on PLS Modeling! 7 Aug 2013
By Benito Arias Martinez - Published on Amazon.com
Format:Paperback|Verified Purchase
The book is a great text not just for beginners, but also for more experienced users. It covers all the most essential aspects of PLS Modeling, and some more advanced issues. The language is clear and easy to understand. Its structure is excellent: each chapter includes very good summaries, as well as review and critical thinking questions, a glossary of key terms, and suggested readings to broaden the knowledge on the subject. My congratulations to the authors!
1 of 1 people found the following review helpful
4.0 out of 5 stars Great book 25 April 2013
By Amazon Customer - Published on Amazon.com
Format:Paperback|Verified Purchase
This is an excellent primer for someone who wants to understand SmartPLS quickly. The book covered sufficient information to get started using SmartPLS and to understand the various outputs for research. The book is well written and provides ample illustration. As a PhD student, this information was just what I needed.
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