Christian M Ringle

Christian M RingleChristian M. Ringle is a chaired Professor of Management at the Hamburg University of Technology (Germany) and an Adjunct Professor at the University of Waikato (New Zealand). His research addresses management of organizations, human resource anagement, 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, Professor 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 Christian M. Ringle can be found at https: //www.tuhh.de/hrmo/team/prof-dr-c-m-ringle.html.

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Advanced Issues in Partial Least Squares Structural Equation Modeling
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State of the Art in Partial Least Squares Structural Equation Modeling (Pls-Sem)37 %
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State of the Art in Partial Least Squares Structural Equation Modeling (Pls-Sem)37 %
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Handbook of Research Methods for Marketing Management31 %
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Partial Least Squares Structural Equation Modeling (Pls-Sem) Using R38 %
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Partial Least Squares Structural Equation Modeling37 %
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Partial Least Squares Structural Equation Modeling37 %
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A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)33 %
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Handbook of Research Methods for Marketing Management32 %
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Advanced Issues in Partial Least Squares Structural Equation Modeling32 %
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A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)32 %
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