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
Areas of research and consultancy:
Sustainable supply chain management; corporate sustainability; supply chain management; operations management; multi-attribute decision making; soft computing
Co-Editor in Chief, Journal of Industrial and Production Engineering (TSSCI, EI & ESCI); Associate Editor: Management of Environmental Quality: An International Journal (EI & ESCI); Editorial Board Member, International Journal of Production Economics (SCI), Industrial Management & Data Systems (SCI), International Journal of Logistics-Research & Applications (SSCI), Resources, Conservation & Recycling (SCI) etc. Trustee Member, Asia Pacific Industrial Engineering & Management Systems Society (APIEMS)
Honors & Awards
2021 Awarded World Class Professor Program in Indonesia (Ministry of Education and Culture of Republic of Indonesia); Stanford University’s 2020/2021 list of the top 2% scientists in the world; 2012 Chinese Academy of Science Young Scholar Award; Google H-index: 57; Scopus H-index: 46; Google Citation Ranking: Sustainable supply chain management (#5); Corporate sustainability (#3)
Areas of research and consultancy:
Technology-driven: Radio-frequency identification (RFID) technology, Internet of Things, Industry 4.0, Blockchain, cloud manufacturing, big data analytics and AI/machine learning. Sustainable/Circular supply chain management & low carbon logistics: Green logistics, sustainable supply chain management, low carbon initiatives (net zero/carbon neutral), circular economy and sharing economy. Lean and agile principles: Lean logistics, agile manufacturing, operations analytics, cost & system optimisation, meta heuristics, and system modelling.
Editor-in-Chief of International Journal of Logistics Research and Applications (Taylor & Francis) and Editor-in-Chief of International Journal of Supply Chain and Operations Resilience (Inderscience); Chairman of European Business Innovation and Technology Management Society, Advisory Council Member and Board of Trustees of the Asia Pacific Business Innovation and Technology Management Society, Member of International Federation for Information Processing WG 5.7, and Senior Member of International Engineering and Technology Institute. Editorial Board, Resources, Conservation and Recycling (Elsevier); Editorial Board, Industrial Management & Data Systems (Emerald); Editorial Board, Management of Environmental Quality: An International Journal (Emerald); Annual Reviewer Awards 2020; Elsevier – International Journals of Production Economics; Editorial Board, Journal of International Logistics and Trade; Associate Editor, Progress in Business Innovation and Technology Management; Editorial Board, International Journal of Big Data Mining for Global Warming; Editorial Board, International Journal of Sustainability Research; Editorial Board, Operations and Supply Chain Management: An International Journal (OSCM); Editorial Board, Artificial Intelligence Research; Book Editor: “Bidding: Types, Strategies and the Impact of Irrationality” Nova Publishers.
Areas of research and consultancy:
Marketing Analytics, Marketing Strategy, Business Analytics
‘The seeds of dissolution: discrepancy and incoherence in buyer-supplier exchange’, Wang, Q, Kayande, U & Jap, S, Marketing Science, vol. 29, no. 6, November 2010, pp. 1109–1124.
‘How incorporating feedback mechanisms in a DSS affects DSS evaluation’, Kayande, U, De Bruyn, A, Lilien, GL, Rangaswamy, A & van Bruggen, G, Information Systems Research, vol. 20, no. 4, December 2009, pp. 527–546.
‘Mapping the bounds of incoherence: how far can you go and how much will it hurt your brand?’ Kayande, U, Roberts, JH, Lilien, GL & Fong, DKH, Marketing Science, vol. 26, no. 4, July 2007, pp. 504–513.
‘Reliability assessment and optimization of marketing measurement’, Finn, A & Kayande, U, Journal of Marketing Research, vol. 34, no. 2, July 1997, pp. 262–275.