Christian M. Ringle is a Chaired Professor of Management and the Director of the Institute of Human Resource Management and Organizations (HRMO) in the Department of Management Sciences and Technology at the Hamburg University of Technology (TUHH), Germany. He holds a PhD from the Faculty of Business and Economics at the University of Hamburg. Among other research stays and appointments, Ringle was a visiting researcher at the Georgia State University and the Osaka City University and he was a Conjoint Professor at the University of Technology Sydney and the University of Newcastle in Australia. His research addresses human resource management, organization, marketing, strategic management, and quantitative methods for business and market research, business analytics, and machine learning. His contributions in these fields have been published in journals such as International Journal of Research in Marketing, Information Systems Research, Journal of Business Research, Journal of Leisure Research, Journal of Service Research, Journal of the Academy of Marketing Science, Long Range Planning, MIS Quarterly, and Tourism Management. Since 2018, Ringle has been included in the Clarivate Analytics’ Highly Researchers list. He offers online courses and regularly teaches doctoral seminars on multivariate statistics, especially the PLS-SEM method, and the use of the statistical software such as SmartPLS.
‘A primer on partial least squares structural equation modeling (PLS-SEM)’
Joseph F. Hair; G. Tomas M. Hult; Christian M. Ringle; Marko Sarstedt.
‘Published in 2016 in Los Angeles by SAGE (2014) / 20506 Citations
‘PLS-SEM: Indeed a Silver Bullet’
Joe F. Hair; Christian M. Ringle; Marko Sarstedt.
The Journal of Marketing Theory and Practice (2011) / 12617 Citations
‘The use of partial least squares path modeling in international marketing’
Jörg Henseler; Christian M. Ringle; Rudolf R. Sinkovics.
In: Advances in International Marketing. Bingley: Emerald ; 2009. p. 277-319. (2009) / 10147 Citations
‘A new criterion for assessing discriminant validity in variance-based structural equation modeling’
Joerg Henseler; Christian M. Ringle; Marko Sarstedt; Marko Sarstedt.
Journal of the Academy of Marketing Science (2015) / 7611 Citations
‘An assessment of the use of partial least squares structural equation modeling in marketing research’
Joe F. Hair; Marko Sarstedt; Marko Sarstedt; Christian M. Ringle; Christian M. Ringle; Jeannette A. Mena.
Journal of the Academy of Marketing Science (2012) / 5846 Citations
‘Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance’
Joseph F. Hair; Christian M. Ringle; Marko Sarstedt.
Long Range Planning (2013) / 2457 Citations
‘Editor’s comments: a critical look at the use of PLS-SEM in MIS quarterly’
Christian M. Ringle; Marko Sarstedt; Detmar W. Straub.
Management Information Systems Quarterly (2012) / 2321 Citations
‘When to use and how to report the results of PLS-SEM’
Joseph F. Hair; Jeffrey J. Risher; Marko Sarstedt; Christian M. Ringle.
European Business Review (2019) / 1711 Citations
‘Common Beliefs and Reality About PLS: Comments on Rönkkö and Evermann (2013)’
Joerg Henseler; Joerg Henseler; Theo K. Dijkstra; Marko Sarstedt; Marko Sarstedt; Christian M. Ringle; Christian M. Ringle.
Organizational Research Methods (2014) / 1636 Citations
‘The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications’
Joseph F. Hair; Marko Sarstedt; Torsten M. Pieper; Christian M. Ringle.
Long Range Planning (2012) / 1603 Citations