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Managing interactive collaborative mega project supply chains under infectious risks

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  • Zhao, Na

Abstract

The paper proposes the mega project supply chains infectious risks (MPSCIRs) synergy theory, defines the risk propagation speed, propagation density, and risk interconnectivity, distinguishes conventional risks from infectious risks, and identifies the risks facing major projects when passing through the “secret channel” of supply chains based on system dynamics theory and stability theory, and combining the new characteristics of major project supply chain risks after new technology reforms. Diverse research methods are used to conduct a three-dimensional analysis of MPIRs and major project supply chains (MPSCs) transverse, cutting, and in a hoop. The results suggest that infectious risks in the MPSC system are periodic. Based on the propagation speed, pressure, and direction, the infectious risk propagation capability and propagation energy distribution can be identified. The MPSC can be decomposed into N interactive subsystems. The infectious risks of various subsystems within the load scope should be diffused and coordinated in time. The theory helps in identifying risks and strategies specific to the decision major projects’ risk category. The research is demonstrated through an experiment study conducted in major projects' supply chain involving interviews, questionnaires, field observations and focus group meetings through case comparison and simulation study in the supply chain of major projects. In addition, the research can not only prevent major project infection risks (MPIRs) but also ensure the orderly production of major projects.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:proeco:v:218:y:2019:i:c:p:275-286
    DOI: 10.1016/j.ijpe.2019.06.008
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    1. Li, Gang & Fan, Huan & Lee, Peter K.C. & Cheng, T.C.E., 2015. "Joint supply chain risk management: An agency and collaboration perspective," International Journal of Production Economics, Elsevier, vol. 164(C), pages 83-94.
    2. 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.
    3. George Sheldon & Martin Maurer, 1998. "Interbank Lending and Systemic Risk: An Empirical Analysis for Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 134(IV), pages 685-704, December.
    4. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
    5. Heckmann, Iris & Comes, Tina & Nickel, Stefan, 2015. "A critical review on supply chain risk – Definition, measure and modeling," Omega, Elsevier, vol. 52(C), pages 119-132.
    6. Ackermann, Fran & Howick, Susan & Quigley, John & Walls, Lesley & Houghton, Tom, 2014. "Systemic risk elicitation: Using causal maps to engage stakeholders and build a comprehensive view of risks," European Journal of Operational Research, Elsevier, vol. 238(1), pages 290-299.
    7. Faisal Aqlan & Sarah S. Lam, 2015. "Supply chain risk modelling and mitigation," International Journal of Production Research, Taylor & Francis Journals, vol. 53(18), pages 5640-5656, September.
    8. Tang, Ou & Nurmaya Musa, S., 2011. "Identifying risk issues and research advancements in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 133(1), pages 25-34, September.
    9. Dong, Qingxing & Cooper, Orrin, 2016. "An orders-of-magnitude AHP supply chain risk assessment framework," International Journal of Production Economics, Elsevier, vol. 182(C), pages 144-156.
    10. Flyvbjerg,Bent & Bruzelius,Nils & Rothengatter,Werner, 2003. "Megaprojects and Risk," Cambridge Books, Cambridge University Press, number 9780521009461.
    11. Na Zhao & T. C. E. Cheng, 2018. "A Periodic Collaboration and Coexistence Management Model with the Oscillation Effect for Complex Mega Infrastructure Project under the Risk of Infection," Complexity, Hindawi, vol. 2018, pages 1-12, October.
    12. Xiangming Chen & Fakhmiddin Fazilov, 2018. "Re-centering Central Asia: China’s “New Great Game” in the old Eurasian Heartland," Palgrave Communications, Palgrave Macmillan, vol. 4(1), pages 1-12, December.
    13. Gérard P. Cachon & Patrick T. Harker, 2002. "Competition and Outsourcing with Scale Economies," Management Science, INFORMS, vol. 48(10), pages 1314-1333, October.
    14. Serdar Dindar & Sakdirat Kaewunruen & Min An, 2018. "Identification of appropriate risk analysis techniques for railway turnout systems," Journal of Risk Research, Taylor & Francis Journals, vol. 21(8), pages 974-995, August.
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    Cited by:

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    2. Vaibhav S. Narwane & Rakesh D. Raut & Sachin Kumar Mangla & Manoj Dora & Balkrishna E. Narkhede, 2023. "Risks to Big Data Analytics and Blockchain Technology Adoption in Supply Chains," Annals of Operations Research, Springer, vol. 327(1), pages 339-374, August.
    3. Vineet Paliwal & Shalini Chandra & Suneel Sharma, 2020. "Blockchain Technology for Sustainable Supply Chain Management: A Systematic Literature Review and a Classification Framework," Sustainability, MDPI, vol. 12(18), pages 1-39, September.

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