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Supply chain risk network management: A Bayesian belief network and expected utility based approach for managing supply chain risks

Citations

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Cited by:

  1. Yu Zhao & Huaming Du & Qing Li & Fuzhen Zhuang & Ji Liu & Gang Kou, 2022. "A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data Perspective," Papers 2211.14997, arXiv.org, revised May 2023.
  2. Hai Thanh Pham & Chiara Verbano, 2022. "Identification and Characterization of Supply Chain Operational Risk Profiles in Manufacturing Companies," Sustainability, MDPI, vol. 14(4), pages 1-17, February.
  3. Louis Eeckhoudt & Elisa Pagani & Eugenio Peluso, 2023. "Multidimensional risk aversion: the cardinal sin," Annals of Operations Research, Springer, vol. 320(1), pages 15-31, January.
  4. Zhao, Na, 2019. "Managing interactive collaborative mega project supply chains under infectious risks," International Journal of Production Economics, Elsevier, vol. 218(C), pages 275-286.
  5. R.S. Rogulin, 2021. "Model for Assessing the Effectiveness of the Formation of Sustainable Supply Chains of Raw Materials by Timber Industry Enterprises," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 20(1), pages 148-168.
  6. Guo, Haidong & Wang, Shengyu & Zhang, Yu, 2021. "Supply interruption supply chain network model with uncertain demand: an application of chance-constrained programming with fuzzy parameters," LSE Research Online Documents on Economics 114936, London School of Economics and Political Science, LSE Library.
  7. Abroon Qazi & Mecit Can Emre Simsekler, 2022. "Prioritizing interdependent drivers of financial, economic, and political risks using a data-driven probabilistic approach," Risk Management, Palgrave Macmillan, vol. 24(2), pages 164-185, June.
  8. Abroon Qazi & Mecit Can Emre Simsekler & Steven Formaneck, 2023. "Supply chain risk network value at risk assessment using Bayesian belief networks and Monte Carlo simulation," Annals of Operations Research, Springer, vol. 322(1), pages 241-272, March.
  9. Soleman Imbiri & Raufdeen Rameezdeen & Nicholas Chileshe & Larissa Statsenko, 2021. "A Novel Taxonomy for Risks in Agribusiness Supply Chains: A Systematic Literature Review," Sustainability, MDPI, vol. 13(16), pages 1-24, August.
  10. Ruiz-Benítez, Rocío & López, Cristina & Real, Juan C., 2018. "The lean and resilient management of the supply chain and its impact on performance," International Journal of Production Economics, Elsevier, vol. 203(C), pages 190-202.
  11. Lin, Edward M.H. & Sun, Edward W. & Yu, Min-Teh, 2020. "Behavioral data-driven analysis with Bayesian method for risk management of financial services," International Journal of Production Economics, Elsevier, vol. 228(C).
  12. Di Liang & Ran Bhamra & Zhongyi Liu & Yucheng Pan, 2022. "Risk Propagation and Supply Chain Health Control Based on the SIR Epidemic Model," Mathematics, MDPI, vol. 10(16), pages 1-16, August.
  13. Yazdani, Morteza & Torkayesh, Ali Ebadi & Chatterjee, Prasenjit & Fallahpour, Alireza & Montero-Simo, Maria Jose & Araque-Padilla, Rafael A. & Wong, Kuan Yew, 2022. "A fuzzy group decision-making model to measure resiliency in a food supply chain: A case study in Spain," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
  14. Seyedmohsen Hosseini & Dmitry Ivanov, 2022. "A new resilience measure for supply networks with the ripple effect considerations: a Bayesian network approach," Annals of Operations Research, Springer, vol. 319(1), pages 581-607, December.
  15. 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.
  16. Jia, Xiaohui & Zhang, Donghui, 2021. "Prediction of maritime logistics service risks applying soft set based association rule: An early warning model," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
  17. Shashi & Piera Centobelli & Roberto Cerchione & Myriam Ertz, 2020. "Managing supply chain resilience to pursue business and environmental strategies," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 1215-1246, March.
  18. Chih-Hung Hsu & Ru-Yue Yu & An-Yuan Chang & Wan-Ling Liu & An-Ching Sun, 2022. "Applying Integrated QFD-MCDM Approach to Strengthen Supply Chain Agility for Mitigating Sustainable Risks," Mathematics, MDPI, vol. 10(4), pages 1-41, February.
  19. Chowdhury, Nighat Afroz & Ali, Syed Mithun & Mahtab, Zuhayer & Rahman, Towfique & Kabir, Golam & Paul, Sanjoy Kumar, 2019. "A structural model for investigating the driving and dependence power of supply chain risks in the readymade garment industry," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 102-113.
  20. Garvey, Myles D. & Carnovale, Steven, 2020. "The rippled newsvendor: A new inventory framework for modeling supply chain risk severity in the presence of risk propagation," International Journal of Production Economics, Elsevier, vol. 228(C).
  21. Feng, Zhe & Jin, Xueru & Chen, Tianqian & Wu, Jiansheng, 2021. "Understanding trade-offs and synergies of ecosystem services to support the decision-making in the Beijing–Tianjin–Hebei region," Land Use Policy, Elsevier, vol. 106(C).
  22. Kamble, Sachin S. & Gunasekaran, Angappa & Kumar, Vikas & Belhadi, Amine & Foropon, Cyril, 2021. "A machine learning based approach for predicting blockchain adoption in supply Chain," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
  23. Kraude, Richard & Narayanan, Sriram & Talluri, Srinivas, 2022. "Evaluating the performance of supply chain risk mitigation strategies using network data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1168-1182.
  24. Niels Bugert & Rainer Lasch, 2023. "Analyzing upstream and downstream risk propagation in supply networks by combining Agent-based Modeling and Bayesian networks," Journal of Business Economics, Springer, vol. 93(5), pages 859-889, July.
  25. Hosseini, Seyedmohsen & Ivanov, Dmitry & Dolgui, Alexandre, 2019. "Review of quantitative methods for supply chain resilience analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 285-307.
  26. Jin, Cangyu & Bouzembrak, Yamine & Zhou, Jiehong & Liang, Qiao & Marvin, Hans, 2021. "Drivers of Food Safety Risks in Aquatic Products in China: A Bayesian Network approach," 2021 Annual Meeting, August 1-3, Austin, Texas 313965, Agricultural and Applied Economics Association.
  27. Cristina López & Rocío Ruíz-Benítez & Carmen Vargas-Machuca, 2019. "On the Environmental and Social Sustainability of Technological Innovations in Urban Bus Transport: The EU Case," Sustainability, MDPI, vol. 11(5), pages 1-22, March.
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