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Analysis of supply chain resilience drivers in oil and gas industries during the COVID-19 pandemic using an integrated approach
The COVID-19 pandemic has significantly affected the supply chains (SCs) of many industries, including the oil and gas (O&G) industry. This study aims to identify and analyze the drivers that affect the resilience level of the O&G SC under the COVID-19 pandemic. The analysis helps to underst...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8958777/ https://www.ncbi.nlm.nih.gov/pubmed/35369123 http://dx.doi.org/10.1016/j.asoc.2022.108756 |
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author | Piya, Sujan Shamsuzzoha, Ahm Khadem, Mohammad |
author_facet | Piya, Sujan Shamsuzzoha, Ahm Khadem, Mohammad |
author_sort | Piya, Sujan |
collection | PubMed |
description | The COVID-19 pandemic has significantly affected the supply chains (SCs) of many industries, including the oil and gas (O&G) industry. This study aims to identify and analyze the drivers that affect the resilience level of the O&G SC under the COVID-19 pandemic. The analysis helps to understand the driving intensity of one driver over those of others as well as drivers with the highest driving power to achieve resilience. Through an extensive literature review and an overview of experts’ opinions, the study identified fourteen supply chain resilience (SCR) drivers of the O&G industry. These drivers were analyzed using the integrated fuzzy interpretive structural modeling (ISM) and decision-making trial and evaluation laboratory (DEMATEL) approaches. The analysis shows that the major drivers of SCR are government support and security. These two drivers help to achieve other drivers of SCR, such as collaboration and information sharing, which, in turn, influence innovation, trust, and visibility among SC partners. Two more drivers, robustness and agility, are also essential drivers of SCR. However, rather than influencing other drivers for their achievement, robustness and agility are influenced by others. The results show that collaboration has the highest overall driving intensity and agility has the highest intensity of being influenced by other drivers. |
format | Online Article Text |
id | pubmed-8958777 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89587772022-03-28 Analysis of supply chain resilience drivers in oil and gas industries during the COVID-19 pandemic using an integrated approach Piya, Sujan Shamsuzzoha, Ahm Khadem, Mohammad Appl Soft Comput Article The COVID-19 pandemic has significantly affected the supply chains (SCs) of many industries, including the oil and gas (O&G) industry. This study aims to identify and analyze the drivers that affect the resilience level of the O&G SC under the COVID-19 pandemic. The analysis helps to understand the driving intensity of one driver over those of others as well as drivers with the highest driving power to achieve resilience. Through an extensive literature review and an overview of experts’ opinions, the study identified fourteen supply chain resilience (SCR) drivers of the O&G industry. These drivers were analyzed using the integrated fuzzy interpretive structural modeling (ISM) and decision-making trial and evaluation laboratory (DEMATEL) approaches. The analysis shows that the major drivers of SCR are government support and security. These two drivers help to achieve other drivers of SCR, such as collaboration and information sharing, which, in turn, influence innovation, trust, and visibility among SC partners. Two more drivers, robustness and agility, are also essential drivers of SCR. However, rather than influencing other drivers for their achievement, robustness and agility are influenced by others. The results show that collaboration has the highest overall driving intensity and agility has the highest intensity of being influenced by other drivers. Elsevier B.V. 2022-05 2022-03-28 /pmc/articles/PMC8958777/ /pubmed/35369123 http://dx.doi.org/10.1016/j.asoc.2022.108756 Text en © 2022 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Piya, Sujan Shamsuzzoha, Ahm Khadem, Mohammad Analysis of supply chain resilience drivers in oil and gas industries during the COVID-19 pandemic using an integrated approach |
title | Analysis of supply chain resilience drivers in oil and gas industries during the COVID-19 pandemic using an integrated approach |
title_full | Analysis of supply chain resilience drivers in oil and gas industries during the COVID-19 pandemic using an integrated approach |
title_fullStr | Analysis of supply chain resilience drivers in oil and gas industries during the COVID-19 pandemic using an integrated approach |
title_full_unstemmed | Analysis of supply chain resilience drivers in oil and gas industries during the COVID-19 pandemic using an integrated approach |
title_short | Analysis of supply chain resilience drivers in oil and gas industries during the COVID-19 pandemic using an integrated approach |
title_sort | analysis of supply chain resilience drivers in oil and gas industries during the covid-19 pandemic using an integrated approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8958777/ https://www.ncbi.nlm.nih.gov/pubmed/35369123 http://dx.doi.org/10.1016/j.asoc.2022.108756 |
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