An integrated interval programming and input–output knowledge model for risk and resiliency management
The COVID-19 pandemic has devastated nearly every sector of the global economy. The research seeks to examine the COVID-19 pandemic’s effects on economy and its interdependencies, specifically on mining and minerals, energy, and agriculture sectors. We propose a mathematical model by combining inter...
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| Published in | Decision analytics journal Vol. 9; p. 100317 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Inc
01.12.2023
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| Subjects | |
| Online Access | Get full text |
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| Abstract | The COVID-19 pandemic has devastated nearly every sector of the global economy. The research seeks to examine the COVID-19 pandemic’s effects on economy and its interdependencies, specifically on mining and minerals, energy, and agriculture sectors. We propose a mathematical model by combining interval programming with input–output knowledge modeling. The input–output model illustrates how pandemic-induced perturbations in one sector spread to others. According to how susceptible they are to disturbances coming from the primary sector (e.g., mining and minerals, agriculture, or energy), a ranking of the impacted sectors can serve as an essential input for risk and resiliency management. The study also determines which sectors are anticipated to suffer significant financial losses due to the pandemic, allowing decision-makers to prioritize their investment plans in light of system-level uncertainty. We further develop four distinct scenarios and analyze the influence of the three most influential sectors on others.
•Propose a mathematical model by combining interval programming and input–output knowledge modeling.•Analyze the impact of the COVID-19 pandemic on various economic sectors.•Enable decision-makers to prioritize investment planning.•Develop four distinct scenarios and analyze the influence of the three most influential sectors on others. |
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| AbstractList | The COVID-19 pandemic has devastated nearly every sector of the global economy. The research seeks to examine the COVID-19 pandemic’s effects on economy and its interdependencies, specifically on mining and minerals, energy, and agriculture sectors. We propose a mathematical model by combining interval programming with input–output knowledge modeling. The input–output model illustrates how pandemic-induced perturbations in one sector spread to others. According to how susceptible they are to disturbances coming from the primary sector (e.g., mining and minerals, agriculture, or energy), a ranking of the impacted sectors can serve as an essential input for risk and resiliency management. The study also determines which sectors are anticipated to suffer significant financial losses due to the pandemic, allowing decision-makers to prioritize their investment plans in light of system-level uncertainty. We further develop four distinct scenarios and analyze the influence of the three most influential sectors on others.
•Propose a mathematical model by combining interval programming and input–output knowledge modeling.•Analyze the impact of the COVID-19 pandemic on various economic sectors.•Enable decision-makers to prioritize investment planning.•Develop four distinct scenarios and analyze the influence of the three most influential sectors on others. |
| ArticleNumber | 100317 |
| Author | Soni, Tarun Kumar Pamucar, Dragan Dwivedi, Ashish Sarkar, Bishal Dey Shardeo, Vipulesh |
| Author_xml | – sequence: 1 givenname: Dragan orcidid: 0000-0001-8522-1942 surname: Pamucar fullname: Pamucar, Dragan email: dpamucar@gmail.com organization: Department of Computer Science and Mathematics, Lebanese American University, Byblos, Lebanon – sequence: 2 givenname: Bishal Dey surname: Sarkar fullname: Sarkar, Bishal Dey email: bishaldeysarkar6891@gmail.com organization: Symbiosis Institute of Operations Management, Symbiosis International (Deemed University), Pune, India – sequence: 3 givenname: Vipulesh orcidid: 0000-0003-0786-2458 surname: Shardeo fullname: Shardeo, Vipulesh email: vipuleshshardeo@gmail.com organization: FORE School of Management, New Delhi, India – sequence: 4 givenname: Tarun Kumar orcidid: 0000-0002-8684-7864 surname: Soni fullname: Soni, Tarun Kumar email: tarun.soni@fsm.ac.in organization: FORE School of Management, New Delhi, India – sequence: 5 givenname: Ashish surname: Dwivedi fullname: Dwivedi, Ashish email: Ashish0852@gmail.com organization: Jindal Global Business School, OP Jindal Global University, Sonipat, India |
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| Keywords | Interval programming Pandemic Input–output knowledge modeling Risk assessment Resiliency modeling |
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| Title | An integrated interval programming and input–output knowledge model for risk and resiliency management |
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