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Interpretive structural modeling of supply chain risks

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  1. Govindan, Kannan & Chaudhuri, Atanu, 2016. "Interrelationships of risks faced by third party logistics service providers: A DEMATEL based approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 177-195.
  2. M., Balaji & K., Arshinder, 2016. "Modeling the causes of food wastage in Indian perishable food supply chain," Resources, Conservation & Recycling, Elsevier, vol. 114(C), pages 153-167.
  3. Venkatesh, V.G. & Rathi, Snehal & Patwa, Sriyans, 2015. "Analysis on supply chain risks in Indian apparel retail chains and proposal of risk prioritization model using Interpretive structural modeling," Journal of Retailing and Consumer Services, Elsevier, vol. 26(C), pages 153-167.
  4. Bankole Osita Awuzie & Amal Abuzeinab, 2019. "Modelling Organisational Factors Influencing Sustainable Development Implementation Performance in Higher Education Institutions: An Interpretative Structural Modelling (ISM) Approach," Sustainability, MDPI, vol. 11(16), pages 1-18, August.
  5. Mustafa UNGAN, 2017. "Relationship Between Supply Chain Risks: An Empirical Work," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 293-303.
  6. Nishat Alam Choudhary & Shalabh Singh & Tobias Schoenherr & M. Ramkumar, 2023. "Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications," Annals of Operations Research, Springer, vol. 322(2), pages 565-607, March.
  7. Huang, Wencheng & Zhang, Yue & Kou, Xingyi & Yin, Dezhi & Mi, Rongwei & Li, Linqing, 2020. "Railway dangerous goods transportation system risk analysis: An Interpretive Structural Modeling and Bayesian Network combining approach," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
  8. Sajid, Zaman & Khan, Faisal & Zhang, Yan, 2018. "A novel process economics risk model applied to biodiesel production system," Renewable Energy, Elsevier, vol. 118(C), pages 615-626.
  9. Zuhal Cilingir Uk & Cigdem Basfirinci & Amit Mitra, 2022. "Weighted Interpretive Structural Modeling for Supply Chain Risk Management: An Application to Logistics Service Providers in Turkey," Logistics, MDPI, vol. 6(3), pages 1-22, August.
  10. Gardas, Bhaskar B. & Raut, Rakesh D. & Narkhede, Balkrishna, 2017. "Modeling causal factors of post-harvesting losses in vegetable and fruit supply chain: An Indian perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1355-1371.
  11. Marak Zericho R. & Pillai Deepa, 2021. "Supply Chain Finance Factors: An Interpretive Structural Modeling Approach," Journal of Management and Business Administration. Central Europe, Sciendo, vol. 29(1), pages 88-111, March.
  12. Tushar, Saifur Rahman & Alam, Md. Fahim Bin & Bari, A.B.M. Mainul & Karmaker, Chitra Lekha, 2023. "Assessing the challenges to medical waste management during the COVID-19 pandemic: Implications for the environmental sustainability in the emerging economies," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
  13. Ma, Hoi-Lam & Wang, Z.X. & Chan, Felix T.S., 2020. "How important are supply chain collaborative factors in supply chain finance? A view of financial service providers in China," International Journal of Production Economics, Elsevier, vol. 219(C), pages 341-346.
  14. Zuber, Christian & Pfohl, Hans-Christian & Berbner, Ulrich, 2014. "The Imbalance of Supply Risk and Risk Management Activities in Supply Chains: Developing Metrics to Enable Network Analysis in the Context of Supply Chain Risk Management," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Next Generation Supply Chains: Trends and Opportunities. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 18, volume 18, pages 423-446, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
  15. Song, Dong-Wook & Seo, Young-Joon & Kwak, Dong-Wook, 2019. "Learning from Hanjin Shipping’s failure: A holistic interpretation on its causes and reasons," Transport Policy, Elsevier, vol. 82(C), pages 77-87.
  16. Evangelos Gkanatsas & Harold Krikke, 2020. "Towards a Pro-Silience Framework: A Literature Review on Quantitative Modelling of Resilient 3PL Supply Chain Network Designs," Sustainability, MDPI, vol. 12(10), pages 1-25, May.
  17. Mustafa UNGAN, 2017. "Relationship Between Supply Chain Risks: An Empirical Work," Proceedings RCE 2017, Editura Lumen, vol. 0, pages 293-303, November.
  18. Hsuan-Yu Pan & Shen-Ho Chang & Chuan-Chuan Huang, 2017. "The Success Key Factors of Medical Institutes in China," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 7(3), pages 1-6.
  19. Rahmat Fadhil & M. Syamsul Maarif & Tajuddin Bantacut & Aji Hermawan, 2018. "Formulation for Development Strategy of Gayo Coffee Agroindustry Institution Using Interpretive Structural Modeling (ISM)," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 66(2), pages 487-495.
  20. Alptekin Ulutaş & Ieva Meidute-Kavaliauskiene & Ayse Topal & Ezgi Demir, 2021. "Assessment of Collaboration-Based and Non-Collaboration-Based Logistics Risks with Plithogenic SWARA Method," Logistics, MDPI, vol. 5(4), pages 1-14, November.
  21. Jorge Arnaldo Troche-Escobar & Herman Augusto Lepikson & Francisco Gaudêncio Mendonça Freires, 2018. "A Study of Supply Chain Risk in the Brazilian Wind Power Projects by Interpretive Structural Modeling and MICMAC Analysis," Sustainability, MDPI, vol. 10(10), pages 1-24, September.
  22. Emily Bacon & Michael D. Williams & Gareth H. Davies, 2023. "On the Combinatory Nature of Knowledge Transfer Conditions: A Mixed Method Assessment," Information Systems Frontiers, Springer, vol. 25(3), pages 1039-1061, June.
  23. Sajid, Zaman & Khan, Faisal & Zhang, Yan, 2017. "Integration of interpretive structural modelling with Bayesian network for biodiesel performance analysis," Renewable Energy, Elsevier, vol. 107(C), pages 194-203.
  24. Sanjay Kumar Tyagi & Sujeet Kumar Sharma & R. Krishankumar & K. S. Ravichandran, 2022. "An extension of interpretive structural modeling using linguistic term sets for business decision-making," OPSEARCH, Springer;Operational Research Society of India, vol. 59(3), pages 1158-1177, September.
  25. C. R. Vishnu & E. N. Anilkumar & R. Sridharan & P. N. Ram Kumar, 2023. "Statistical characterization of managerial risk factors: a case of state-run hospitals in India," OPSEARCH, Springer;Operational Research Society of India, vol. 60(2), pages 812-834, June.
  26. René Y. Glogg & Anna Timonina-Farkas & Ralf W. Seifert, 2022. "Modeling and mitigating supply chain disruptions as a bilevel network flow problem," Computational Management Science, Springer, vol. 19(3), pages 395-423, July.
  27. Qazi, Abroon & Dickson, Alex & Quigley, John & Gaudenzi, Barbara, 2018. "Supply chain risk network management: A Bayesian belief network and expected utility based approach for managing supply chain risks," International Journal of Production Economics, Elsevier, vol. 196(C), pages 24-42.
  28. Gabriela Costa Dias & Ualison Rébula de Oliveira & Gilson Brito Alves Lima & Vicente Aprigliano Fernandes, 2021. "Risk Management in the Import/Export Process of an Automobile Company: A Contribution for Supply Chain Sustainability," Sustainability, MDPI, vol. 13(11), pages 1-20, May.
  29. Rajiv Kumar Sharma, 2022. "Examining interaction among supplier selection strategies in an outsourcing environment using ISM and fuzzy logic approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2175-2194, October.
  30. Bouzon, Marina & Govindan, Kannan & Rodriguez, Carlos Manuel Taboada, 2015. "Reducing the extraction of minerals: Reverse logistics in the machinery manufacturing industry sector in Brazil using ISM approach," Resources Policy, Elsevier, vol. 46(P1), pages 27-36.
  31. Alisha Lakra & Shubhkirti Gupta & Ravi Ranjan & Sushanta Tripathy & Deepak Singhal, 2022. "The Significance of Machine Learning in the Manufacturing Sector: An ISM Approach," Logistics, MDPI, vol. 6(4), pages 1-15, October.
  32. Qazi, Abroon & Quigley, John & Dickson, Alex & Ekici, Şule Önsel, 2017. "Exploring dependency based probabilistic supply chain risk measures for prioritising interdependent risks and strategies," European Journal of Operational Research, Elsevier, vol. 259(1), pages 189-204.
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