VISITING PROFESSOR

Areas of research and consultancy:
Sustainable supply chain management; corporate sustainability; supply chain management; operations management; multi-attribute decision making; soft computing

PROFESSOR DR. MING-LANG TSENG

Visiting Professor, UKM-Graduate School of Business
(15 December 2022 – 14 December 2023)
Chair Professor, Department of Business Administration
Director, Institute of Innovation and Circular Economy
Associate Dean, International College, Asia University, Taiwan

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.

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.

PROFESSOR DR. MING-KIM LIM

Visiting Professor, UKM-Graduate School of Business
(15 December 2022 – 14 December 2023)
Professor of Supply Chain Management and Digitalisation (Management)
Adam Smith Business School, University of Glasgow

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)

Areas of research and consultancy:
Marketing Analytics, Marketing Strategy, Business Analytics

Professor Dr. Ujwal Kayande

Visiting Professor, UKM Graduate Business School
(2 March 2020 - 1 March 2022)
Director of The Centre for Business Analytics, Melbourne Business School, University of Melbourne, Australia
  • 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
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.