A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) | Agenda Bookshop Skip to content
A01=Christian M. Ringle
A01=G. Tomas M. Hult
A01=Joe Hair
A01=Marko Sarstedt
Age Group_Uncategorized
Age Group_Uncategorized
Author_Christian M. Ringle
Author_G. Tomas M. Hult
Author_Joe Hair
Author_Marko Sarstedt
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Category1=Non-Fiction
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Category=JHBC
Category=KJMV6
COP=United States
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Language_English
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A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)

The third edition of A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) guides readers through learning and mastering the techniques of this approach in clear language. Authors Joseph H. Hair, Jr., G. Tomas M. Hult, Christian Ringle, and Marko Sarstedt use their years of conducting and teaching research to communicate the fundamentals of PLS-SEM in straightforward language to explain the details of this method, with limited emphasis on equations and symbols. A running case study on corporate reputation follows the different steps in this technique so readers can better understand the research applications. Learning objectives, review and critical thinking questions, and key terms help readers cement their knowledge. This edition has been thoroughly updated, featuring the latest version of the popular software package SmartPLS 3. New topics have been added throughout the text, including a thoroughly revised and extended chapter on mediation, recent research on the foundations of PLS-SEM, detailed descriptions of research summarizing the advantages as well as limitations of PLS-SEM, and extended coverage of advanced concepts and methods, such as out-of-sample versus in-sample prediction metrics, higher-order constructs, multigroup analysis, necessary condition analysis, and endogeneity.  See more
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A01=Christian M. RingleA01=G. Tomas M. HultA01=Joe HairA01=Marko SarstedtAge Group_UncategorizedAuthor_Christian M. RingleAuthor_G. Tomas M. HultAuthor_Joe HairAuthor_Marko Sarstedtautomatic-updateCategory1=Non-FictionCategory=GPSCategory=JHBCCategory=KJMV6COP=United StatesDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€50 to €100PS=Activesoftlaunch
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Product Details
  • Weight: 560g
  • Dimensions: 152 x 228mm
  • Publication Date: 26 Aug 2021
  • Publisher: SAGE Publications Inc
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781544396408

About Christian M. RingleG. Tomas M. HultJoe HairMarko Sarstedt

Joseph F. Hair Jr.is Professor of Marketing PhD Director and the Cleverdon Chair of Business in the Mitchell College of Business University of South Alabama 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 95 books including Multivariate Data Analysis (8th edition 2019) (cited 170000+ times) MKTG (13th edition 2019) Essentials of Business Research Methods 5th edition 2023) and Essentials of Marketing Research (6th edition 2023). Dr. Hair is the most highly cited scholar in PLS-SEM and marketing with 340000+ citations (Google Scholar 2023). 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. G. Tomas M. Hult is Professor and Byington Endowed Chair at Michigan State University (USA) and holds a visiting Chaired Professorship at Leeds University Business School (United Kingdom) and a visiting professorship at Uppsala University (Sweden). Professor Hult is a member of the Expert Networks of the World Economic Forum and United Nations/UNCTADs World Investment Forum and is also part of the Expert Team at the American Customer Satisfaction Index (ACSI). Dr. Hult was recognized in 2016 as the Academy of Marketing Science / CUTCO-Vector Distinguished Marketing Educator; he is an elected Fellow of the Academy of International Business; and he ranks in the top-10 scholars in marketing per the prestigious world ranking of scientists. At Michigan State University Dr. Hult was recognized with the Beal Outstanding Faculty Award in 2019 (MSUs highest award for outstanding total service to the University) and he has also been recognized with the John Dunning AIB Service Award for outstanding service to AIB as the longest serving Executive Director in AIBs history (2004-2019) (the most prestigious service award given by the Academy of International Business). Professor Hult regularly teaches doctoral seminars on multivariate statistics structural equation modeling and hierarchical linear modeling worldwide. He is a dual citizen of Sweden and the United States. More information about Professor Hult can be found at http://www.tomashult.com. Christian M. Ringle is Professor of Management at the Hamburg University of Technology (Germany). His research addresses management of organizations human resource management methods development for business analytics and their application to business research. His contributions in these fields have been published in journals such as International Journal of Research in Marketing Information Systems Research Journal of the Academy of Marketing Science MIS Quarterly Organizational Research Methods and The International Journal of Human Resource Management. Since 2018 he has been named member of Clarivate Analytics Highly Cited Researchers List. In 2014 Ringle co-founded 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 business analytics and multivariate statistics the PLS-SEM method and the use of SmartPLS worldwide. More information about Professor Dr. Christian M. Ringle can be found at https://www.tuhh.de/hrmo/team/prof-dr-c-m-ringle.html. Marko Sarstedt is Professor of Marketing at the Ludwig-Maximilians-University Munich (Germany) and an adjunct research professor at Babe?-Bolyai-University Cluj-Napoca (Romania). His main research interest is the advancement of research methods to further the understanding of consumer behavior. His research has been published in Nature Human Behaviour Journal of Marketing Research Journal of the Academy of Marketing Science Multivariate Behavioral Research Organizational Research Methods MIS Quarterly British Journal of Mathematical and Statistical Psychology and Psychometrika among others. His research ranks among the most frequently cited in the social sciences with more than 100000 citations according to Google Scholar. Marko has won numerous best paper and citation awards including five Emerald Citations of Excellence awards and two AMS William R. Darden Awards. Marko has been repeatedly named member of Clarivate Analytics Highly Cited Researchers List. In March 2022 he was awarded an honorary doctorate from Babe?-Bolyai-University Cluj-Napoca for his research achievements and contributions to international exchange.

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