TY - JOUR
T1 - Analysis of supply chain resilience drivers in oil and gas industries during the COVID-19 pandemic using an integrated approach
AU - Piya, Sujan
AU - Shamsuzzoha, Ahm
AU - Khadem, Mohammad
N1 - Funding Information:
This study was funded by the Internal Grant of Sultan Qaboos University, Oman [grant number IG/ENG/MIED/21/03] . This support is gratefully acknowledged.
Publisher Copyright:
© 2022 Elsevier B.V.
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PY - 2022/5/1
Y1 - 2022/5/1
N2 - 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.
AB - 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.
KW - COVID-19
KW - Fuzzy logic
KW - ISM-DEMATEL
KW - Oil and gas industry
KW - Resilience drivers
KW - Supply chain resilience
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U2 - 10.1016/j.asoc.2022.108756
DO - 10.1016/j.asoc.2022.108756
M3 - Article
C2 - 35369123
AN - SCOPUS:85127524524
SN - 1568-4946
VL - 121
JO - Applied Soft Computing
JF - Applied Soft Computing
M1 - 108756
ER -