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7/19/2016 » 7/23/2016
2016 AMS 19th World Marketing Congress

6/27/2017 » 7/1/2017
2017 AMS World Marketing Congress

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2016 WMC PLS-SEM Pre-Conference Workshop
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2016 WMC PLS-SEM Pre-Conference Workshop

 Export to Your Calendar 7/19/2016
When: Tuesday, July 19, 2016
10:00 AM
Contact: Marko Sarstedt


Online registration is available until: 7/19/2016
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PRE-CONFERENCE WORKSHOP

 

2016 World Marketing Congress

IESEG School of Management Paris

 

Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 3

 

Tuesday, July 19, 2016, 10.00 a.m. – 5.00 p.m.

 

Joe F. Hair, Christian Ringle, and Marko Sarstedt

 

Partial least squares structural equation modeling (PLS-SEM) has recently received considerable attention in a variety of disciplines, including marketing (Hair et al 2011, according to Google scholar the most-cited article ever published in JMTP; Hair et al. 2012a, according to Google scholar the most-cited JAMS article since 2012), strategic management (Hair et al. 2012a, according to Google scholar the most-cited LRP article since 2012), and management information systems (Ringle et al. 2012, according to Google scholar the second-most cited MIS Quarterly article since 2012).

The goal of PLS-SEM is the explanation of variances (prediction-oriented character of the methodology) rather than explaining covariances (theory testing via covariance-based SEM).  The application of the PLS-SEM method is of special interest if the premises of covariance-based SEM are violated and the assumed relations of cause-and-effect are not sufficiently explored. An additional advantage of the PLS-SEM method is the unrestricted incorporation of latent variables in the path model that either draws on reflective or formative measurements models.

This pre-conference workshop provides an introduction to the following aspects of PLS-SEM:

  • Use and usefulness of SEM in research and practical applications
  • Model development and fundamentals of PLS-SEM
  • Assessment and reporting of measurement and structural model results
  • Examples and special problems in marketing research

The course is based on the PLS-SEM textbook:

Hair, J. F., Hult, G. T. M., Ringle, C. M., and Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 2nd edition, Thousand Oaks, CA: Sage.

 

Practical applications and the use of the software program SmartPLS 3 are an integral part of the workshop. Each course participant will get a free two-months professional license of the SmartPLS 3 software.

 

Place: IESEG School of Management Paris, La Defense District, France

(Location of WMC 2016 that follows) 

 

Date:   Tuesday, July 19, 2016

 

Time:  10.00 am – 5.00 pm

 

Cost:   AMS members: $100 US; Non-members: $350 US (includes AMS membership)

 

Registration: This workshop is for WMC delegates only. Participants need to register on the AMS website.

 

Course set-up: The workshop builds on the contents and the data from the PLS-SEM book by Joe F. Hair, G. Tomas M. Hult, Christian M. Ringle and Marko Sarstedt (Sage, 2017). Handouts with major concepts will be provided. Most of the workshop will involve “hands-on” analysis of the dataset using the SmartPLS 3 software (course participants will obtain a free two-months license). The SmartPLS 3 software output diagnostics and interpretation of the results will be covered. Potential obstacles and “rules-of-thumb” to ensure appropriate application of the techniques will be addressed.

 

Requirements: Prior exposure to PLS-SEM is recommended but not required. Participants must bring a laptop computer with the SmartPLS 3 software readily installed. The software is available from http://www.smartpls.com (click on the “Download” button). Participants will receive the two-months license key to run the professional version of the software from the course organizers a few days before the course starts.

 

Who should attend? Individuals wishing to learn more advanced PLS-SEM topics and the SmartPLS software for their PhD research and/or top-tier journal publications.

 

Instructors:

 

Joe Hair is Founder and Senior Scholar of the Coles College of Business DBA Program at Kennesaw State University. He has authored over 50 books, including market leaders Multivariate Data Analysis, Prentice-Hall, 7th edition, 2010, cited 40,000+ times; A Primer on Partial Least Squares Structural Equations Modeling, Sage, 2014, and Principles of Marketing, Thomson Learning, 12th edition, 2013, used at over 600 universities globally. He also has numerous publications in journals such as Journal of Marketing Research (JMR), Journal of Academy of Marketing Science (JAMS), Journal of Retailing (JoR), Long Range Planning (LRP), and Journal of Marketing Theory & Practice (JMTP). He is a Distinguished Fellow of the Academy of Marketing Science and the Society for Marketing Advances. In 2011 he was recognized as the Academy of Marketing Science Marketing Educator of the year, in 2009 he was the Academy of Marketing Science/Harold Berkman Lifetime Service Award recipient, in 2007 he was named the Innovative Marketer of the Year by the Marketing Management Association, and in 2004 he received the Academy of Marketing Science Outstanding Marketing Teaching Excellence Award.

 


Christian M. Ringle is a Professor of Management and the Director of the Institute for Human Resource Management and Organizations (HRMO) at the Hamburg University of Technology (TUHH) and Visiting Professor at the University of Newcastle (Australia). His research has been published in well-known journals such as Information Systems Research (ISR), International Journal of Research in Marketing (IJRM), Journal of Business Research (JBR), Journal of Marketing Theory and Practice (JMTP), Journal of Service Research (JSR), Journal of the Academy of Marketing Science (JAMS), Long Range Planning (LRP), MIS Quarterly (MISQ), and Organizational Research Methods (ORM). Dr. Ringle co-authored the textbook on PLS-SEM and is co-founder of SmartPLS, a software tool with a graphical user interface for the application of the PLS-SEM method. More information: http://www.tuhh.de/hrmo/team/prof-dr-c-m-ringle.html.

  


Marko Sarstedt is a Chaired Professor of Marketing at the Otto-von-Guericke-University Magdeburg (Germany) and Adjunct Professor at the University of Newcastle (Australia). His main research interests are the advancement of research methods to further the understanding of consumer behavior. His research has been published in, for example, Journal of Marketing Research, Journal of the Academy of Marketing Science, International Journal of Research in Marketing, Organizational Research Methods, MIS Quarterly, Journal of Business Research, Journal of World Business, Marketing Letters, and Long Range Planning. Marko has co-edited several special issues of leading journals and co-authored three widely adopted textbooks, including “A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)” (together with Joe F. Hair, G. Tomas M. Hult, and Christian M. Ringle). More information: http://www.marketing.ovgu.de

 

 

References and suggested readings:

 

Hair, J. F., G. T. M. Hult, C. M. Ringle and M. Sarstedt (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 2nd edition. Thousand Oaks: Sage.

 

Hair, J. F., M. Sarstedt, C. M. Ringle and J. A. Mena (2012). "An Assessment of the Use of Partial Least Squares Structural Equation Modeling in Marketing Research." Journal of the Academy of Marketing Science 40(3): 414-433.

 

Hair, J. F., C. M. Ringle and M. Sarstedt (2011). "PLS-SEM: Indeed a Silver Bullet." Journal of Marketing Theory and Practice 19(2): 139-151.

 

Henseler, Jörg; Christian M. Ringle and Marko Sarstedt (2016). “Testing Measurement Invariance of Composites Using Partial Least Squares,” International Marketing Review, forthcoming.

 

Henseler, Jörg; Christian M. Ringle and Marko Sarstedt (2015). “A New Criterion for Assessing Discriminant Validity in Variance-based Structural Equation Modeling,“ Journal of the Academy of Marketing Science, 43 (1), 115-135.

 

Henseler, Jörg; Theo K. Dijkstra; Marko Sarstedt; Christian M. Ringle; Adamantios Diamantopoulos; Detmar W. Straub; Dave J. Ketchen; Joe F Hair; G. Tomas M. Hult and Roger J. Calantone (2014). "Common Beliefs and Reality about Partial Least Squares: Comments on Rönkkö & Evermann (2013)." Organizational Research Methods 17(2): 182-209.

 

Ringle, C. M., M. Sarstedt and D. W. Straub (2012) “A Critical Look at the Use of PLS-SEM in MIS Quarterly.“ MIS Quarterly 36(1): iii-xiv.

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