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Professional Experience
Christian M. RingleÌýis 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 theÌýÌý. 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 asÌýInternational 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,ÌýandÌýTourism Management. Since 2018, Ringle has been included in the Clarivate Analytics’ Highly Researchers list. He offersÌýÌýand regularly teaches doctoral seminars on multivariate statistics, especially the PLS-SEM method, and the use of the statistical software such asÌý.

Recent Research

‘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 SAGEÌý(2014) / 20506 Citations

‘PLS-SEM: Indeed a Silver Bullet’
Joe F. Hair; Christian M. Ringle; Marko Sarstedt.
The Journal of Marketing Theory and PracticeÌý(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.Ìý(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 ScienceÌý(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 ScienceÌý(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 PlanningÌý(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 QuarterlyÌý(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 ReviewÌý(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 MethodsÌý(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 PlanningÌý(2012) / 1603 Citations

• Teaches marketing strategy and analytics on the MBA, Master of Business Analytics and Executive Education programs.
• Co-director of the Digital Marketing & Analytics Executive Education Program jointly delivered by the University of Oxford and MBS.
• Currently an Area Editor for the Intl. J. Res. Mktg. and serves on the Editorial Boards of the J. of Marketing Research and J. of Service Research.
• Has held faculty positions at the Penn State University, ANU, UNSW, University of Pennsylvania and others.
• Recipient numerous accolades for teaching excellence and his research has been awarded by the American Marketing Association (Lehmann Award), European Marketing Academy (IJRM Best Paper) and the Australia-NZ Marketing Academy (Distinguished Researcher).
• A frequent media commentator in The Australian, Australian Financial Review, Daily Telegraph and other publications.
• Consults globally on marketing strategy and analytics.

Most Notable Research

• , Roberts, JH, Kayande, U & Stremersch, S, International Journal of Research in Marketing, vol. 31, no. 2, June 2014, pp. 127–140.

  , Wang, Q, Kayande, U & Jap, S, Marketing Science, vol. 29, no. 6, November 2010, pp. 1109–1124.

  , Kayande, U, De Bruyn, A, Lilien, GL, Rangaswamy, A & van Bruggen, G, Information Systems Research, vol. 20, no. 4, December 2009, pp. 527–546.

  ÌýKayande, U, Roberts, JH, Lilien, GL & Fong, DKH, Marketing Science, vol. 26, no. 4, July 2007, pp. 504–513.

  , Finn, A & Kayande, U, Journal of Marketing Research, vol. 34, no. 2, July 1997, pp. 262–275.

Significant Awards

• Master of Business Analytics Teaching Excellence Award, 2017, Melbourne Business School.
• Outstanding Reviewer Award, 2017, Journal of Marketing, American Marketing Association.
• EMAC-IJRM Best Paper Award, 2015, European Marketing Academy.
• Master of Business Analytics Teaching Excellence Award, 2015, Melbourne Business School.
• Overall Best Paper Award, 2015, Australian-New Zealand Marketing Academy Conference, Sydney.
• ERIM Top Article Award, 2015, Erasmus Research Institute of Management.
• Smeal Award for MBA Teaching Excellence, 2010, Pennsylvania State University.
• Distinguished Researcher Award, 2000, Australia-NZ Marketing Academy.
• Donald Lehmann Award, 1998, American Marketing Association.

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