Professional Experience
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.

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 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

Professional Experience
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)

Recent Research

1. Ming-Lang Tseng, Li, S.X, Lin, CW & Lin, CW. 2023. Validating green building social sustainability indicators in China using the fuzzy Delphi method. Journal of Industrial and Production Engineering 40(1): 35-53.
2. Shi Y., Lin Y., Wang S., Wen H., Lim M.K. & Tseng ML. 2023. Resource saving and carbon footprint reduction potential of urban symbiosis strategy in express packaging waste recycling network. Waste Management 161: 17-28
3. Liu H., Huo G., Li Q., Guan X., Tseng M.-L. 2023. Multiscale lightweight 3D segmentation algorithm with attention mechanism: Brain tumor image segmentation. Expert Systems with Applications 214: 119166.
4. Gani A.B.D., Fernando Y., Lan S., Lim M.K., Tseng M.-L. 2023. Interplay between cyber supply chain risk management practices and cyber security performance. Industrial Management and Data Systems 123(3): 843-861.
5. Sheng W., Li R., Yan T., Tseng M.-L., Lou J., Li L. 2023. A hybrid dynamic economics emissions dispatch model: Distributed renewable power systems based on improved COOT optimization algorithm. Renewable Energy 204: 493-506.
6. Iranmanesh, M. Maroufkhani, P, Asadi, S, Ghobakhloo, M., Dwivedi, Y. & Ming-Lang Tseng. 2023. Effects of Supply Chain Transparency, Alignment, Adaptability, and Agility on Blockchain Adoption in Supply Chain among SMEs. Computers & Industrial Engineering 176: 108931.
7. Zhang B., Tseng M.-L., Qi L., Guo Y., Wang C.-H. 2023. A comparative online sales forecasting analysis: Data mining techniques. Computers and Industrial Engineering 176: 108935.
8. Bui, TD, Tseng, JW, Ming-Lang Tseng, Ali, MH, Lim, MK. 2023. Municipal solid waste management technological barriers under industry 4.0 practices: A hierarchical structure approach in Taiwan. Resources Conservation and Recycling 190: 106832.
9. Tseng M.-L., Bui T.-D., Lan S., Lim M.K. 2023. Data-driven on reverse logistic toward industrial 4.0: an approach in sustainable electronic businesses. International Journal of Logistics Research and Applications XX: XX.
10. Bui T.-D., Tseng J.-W., Aminah H., Sulistiawan J., Ali M.H., Tseng M.-L. 2023. Causality of total resource management in circular supply chain implementation under uncertainty: a context of textile industry in Indonesia. Annals of Operations Research XX: XX. (UKM-GSB)
11. Tsai F.-M., Kao S.-L., Sujanto R.Y., Tseng M.-L., Hsu T.-W., Chou C.-C. 2023. Causality of Risk Assessment Attributes under Uncertainty in Taiwan’s Offshore Wind Farms Development. Journal of Marine Science and Engineering 11(1): 225.
12. Ruidas S., Seikh M.R., Nayak P.K., Tseng M.-L. 2023. An interval-valued green production inventory model under controllable carbon emissions and green subsidy via particle swarm optimization. Soft Computing XX: XX. (UKM-GSB)
13. Wu K.-J., Tseng M.-L., Yang W.-H., Ali M.H., Chen X. 2023. Re-shaping sustainable value chain model under post pandemic disruptions: A fast fashion supply chain analysis. International Journal of Production Economics 255: 108704.
14. Chien C.-F., Aviso K., Tseng M.-L., Fujii M., Lim M.K. 2023. Solid waste management in emerging economies: opportunities and challenges for reuse and recycling. Resources, Conservation and Recycling 188: 106635.
15. Khalid N., Ali M.H., Ridzuan N.H.A.M., Tseng M.-L., Nadzir M.S.M., Nor S.M. 2023. Symmetric and asymmetric impacts of the palm oil industry on carbon dioxide emissions in Malaysia based on linear and nonlinear autoregressive distributed lag models. Clean Technologies and Environmental Policy 25(1): 173-194.
16. Fernando Y., Tseng M.-L., Wahyuni-Td I.S., de Sousa Jabbour A.B.L., Chiappetta Jabbour C.J., Foropon C. 2023. Cyber supply chain risk management and performance in industry 4.0 era: information system security practices in Malaysia. Journal of Industrial and Production Engineering 40(2): 102-116.
17. Soomro, MA, Ali, MH, Ming-Lang Tseng, Makhbul, ZM. 2023. Understanding Barriers and Motivations in Solid Waste Management from Malaysian Industries: A Comparison Analysis. Environmental Science and Pollution Research, 30(3): 5717-5729.

Professional Experience
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.

Recent Research

1. Shi, Y., Lin, Y., Wang, S., Wen, H., Lim, M. K. and Tseng, M.-L. (2023) Resource saving and carbon footprint reduction potential of urban symbiosis strategy in express packaging waste recycling network. Waste Management, 161, pp. 17-28.
2. Negash, Y. T., Hassan, A. M., Tseng, M.-L., Ali, M. H. and Lim, M. K. (2023) Developing a hierarchical framework for assessing the strategic effectiveness of sustainable waste management in the Somaliland construction industry. Environmental Science and Pollution Research, (Accepted for Publication)
3. Li, J.-R., Li, H.-Y., Lim, M. K., Chiu, A. S.F. and Tseng, M.-L. (2023) Improved artificial jellyfish search algorithm: virtual synchronous generator control strategy. Engineering Optimization, (Accepted for Publication)
4. Liu, J., Xia, S., Wang, Z., Nie, J., Ameen, N., Yan, C. and Lim, M. K. (2023) How to balance economic profits and environmental protection: the impacts of cash hedging on remanufacturing firms. International Journal of Production Economics, 258, 108783.
5. Gani, A. B. D., Fernando, Y., Lan, S., Lim, M. K. and Tseng, M.-L. (2023) Interplay between cyber supply chain risk management practices and cyber security performance. Industrial Management and Data Systems, 123(3), pp. 843-861.
6. Wang, C., Sun, Y., Lim, M. K., Ghadimi, P. and Azadnia, A. H. (2023) An analysis of barriers for successful implementation of municipal solid waste management in Beijing: an integrated DEMATEL-MMDE-ISM approach. Industrial Management and Data Systems, 123(3), pp. 931-966.
7. Bui, T.-D., Tseng, J.-W., Tseng, M.-L., Wu, K.-J. and Lim, M. K. (2023) Municipal solid waste management technological barriers: a hierarchical structure approach in Taiwan. Resources, Conservation and Recycling, 190, 106842.
8. Hu, X., Sun, B., Wang, C., Lim, M. K., Wang, P., Geng, X., Yao, C. and Chen, W.-Q. (2023) Impacts of China’s exports decline in rare earth primary materials from a trade network-based perspective. Resources Policy, 81, 103321.
9. Hu, X., Wang, C., Lim, M. K., Chen, W.-Q., Teng, L., Wang, P., Wang, H., Zhang, C., Yao, C. and Ghadimi, P. (2023) Critical systemic risk sources in global lithium-ion battery supply networks: static and dynamic network perspectives. Renewable and Sustainable Energy Reviews, 173, 113083.
10. Yang, M., Lim, M. K., Qu, Y., Li, X. and Ni, D. (2023) Deep neural networks with L1 and L2 regularization for high dimensional corporate credit risk prediction. Expert Systems with Applications, 213(Part A), 118873.
11. Ni, D., Lim, M. K., Li, X. and Yang, M. (2023) Monitoring corporate credit risk with multiple data sources. Industrial Management and Data Systems, 123(2), pp. 434-450.
12. Hu, H., Xu, J., Liu, M. and Lim, M. K. (2023) Vaccine supply chain management: An intelligent system utilizing blockchain, IoT and machine learning. Journal of Business Research, 156, 113480.
13. Zhang, W., Lim, M. K., Yang, M., Li, X. and Ni, D. (2023) Using deep learning to interpolate the missing data in time-series for credit risks along supply chain. Industrial Management and Data Systems, (Accepted for Publication)
14. Chen, L., Jiang, M., Li, T., Jia, F. and Lim, M. K. (2023) Supply chain learning and performance: a meta-analysis. International Journal of Operations and Production Management, (Early Online Publication)
15. Chien, C.-F., Aviso, K., Tseng, M.-L., Fujii, M. and Lim, M. K. (2023) Solid waste management in emerging economies: opportunities and challenges for reuse and recycling. Resources, Conservation and Recycling, 18, 106635.
16. Yang, M., Lim, M. K., Qu, Y., Ni, D. and Xia0, Z. (2023) Supply chain risk management with machine learning technology: a literature review and future research directions. Computers and Industrial Engineering, 175, 108859.
17. Tseng, M.-L., Bui, T.-D., Lewi, S., Rizaldy, H., Lim, M. K. and Wu, K.-J. (2023) Causality sustainable supply chain management practices in the Indonesian coffee industry using qualitative information: digitalization integration leads performance improvement. International Journal of Logistics Research and Applications, (Early Online Publication)

• 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

• ‘From academic research to marketing practice: exploring the marketing science value chain’, Roberts, JH, Kayande, U & Stremersch, S, International Journal of Research in Marketing, vol. 31, no. 2, June 2014, pp. 127–140.

  ‘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.

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.