COVID-19 and global supply chain risks mitigation: Systematic review using a scientometric technique
Purpose: This paper aims to investigate how manufacturing firms behave to mitigate business risk during and post-COVID-19 coronavirus disease (COVID-19) on the global supply chain. Design/methodology/approach: A systematic literature review for data mining was used to address the research objective....
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| Format: | Article |
| Language: | English English |
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Emerald Publishing
2023
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| Online Access: | http://umpir.ump.edu.my/id/eprint/38174/ http://umpir.ump.edu.my/id/eprint/38174/1/10-1108_JSTPM-01-2022-0013.pdf http://umpir.ump.edu.my/id/eprint/38174/7/COVID-19%20and%20global%20supply%20chain%20risks%20mitigation.pdf |
| _version_ | 1848825440386416640 |
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| author | Fernando, Yudi Mohammed Hammam, Mohammed Al-Madani Muhammad Shabir, Shaharudin |
| author_facet | Fernando, Yudi Mohammed Hammam, Mohammed Al-Madani Muhammad Shabir, Shaharudin |
| author_sort | Fernando, Yudi |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Purpose: This paper aims to investigate how manufacturing firms behave to mitigate business risk during and post-COVID-19 coronavirus disease (COVID-19) on the global supply chain. Design/methodology/approach: A systematic literature review for data mining was used to address the research objective. Multiple scientometric techniques (e.g. bibliometric, machine learning and social network analysis) were used to analyse the Lens.org, Web of Science and Scopus databases’ global supply chain risk mitigation data. Findings: The findings show that the firms’ manufacturing supply chains used digitalisation technologies such as Blockchain, artificial intelligence (AI), 3D printing and machine learning to mitigate COVID-19. On the other hand, food security, government incentives and policies, health-care systems, energy and the circular economy require more research in the global supply chain. Practical implications: Global supply chain managers were advised to use digitalisation technology to mitigate current and upcoming disruptions. The manufacturing supply chain has high uncertainty and unpredictable global pandemics. Manufacturing firms should consider adopting Blockchain technology, AI and machine learning to mitigate the epidemic risk and disruption. Originality/value: This study found the publication trend of how manufacturing firms behave to mitigate the global supply chain disruptions during the global pandemic and business uncertainty. The findings have contributed to the supply chain risk mitigation literature and the solution framework. |
| first_indexed | 2025-11-15T03:28:57Z |
| format | Article |
| id | ump-38174 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:28:57Z |
| publishDate | 2023 |
| publisher | Emerald Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-381742023-08-09T01:39:16Z http://umpir.ump.edu.my/id/eprint/38174/ COVID-19 and global supply chain risks mitigation: Systematic review using a scientometric technique Fernando, Yudi Mohammed Hammam, Mohammed Al-Madani Muhammad Shabir, Shaharudin H Social Sciences (General) HF Commerce RA Public aspects of medicine T Technology (General) Purpose: This paper aims to investigate how manufacturing firms behave to mitigate business risk during and post-COVID-19 coronavirus disease (COVID-19) on the global supply chain. Design/methodology/approach: A systematic literature review for data mining was used to address the research objective. Multiple scientometric techniques (e.g. bibliometric, machine learning and social network analysis) were used to analyse the Lens.org, Web of Science and Scopus databases’ global supply chain risk mitigation data. Findings: The findings show that the firms’ manufacturing supply chains used digitalisation technologies such as Blockchain, artificial intelligence (AI), 3D printing and machine learning to mitigate COVID-19. On the other hand, food security, government incentives and policies, health-care systems, energy and the circular economy require more research in the global supply chain. Practical implications: Global supply chain managers were advised to use digitalisation technology to mitigate current and upcoming disruptions. The manufacturing supply chain has high uncertainty and unpredictable global pandemics. Manufacturing firms should consider adopting Blockchain technology, AI and machine learning to mitigate the epidemic risk and disruption. Originality/value: This study found the publication trend of how manufacturing firms behave to mitigate the global supply chain disruptions during the global pandemic and business uncertainty. The findings have contributed to the supply chain risk mitigation literature and the solution framework. Emerald Publishing 2023-07-20 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/38174/1/10-1108_JSTPM-01-2022-0013.pdf pdf en http://umpir.ump.edu.my/id/eprint/38174/7/COVID-19%20and%20global%20supply%20chain%20risks%20mitigation.pdf Fernando, Yudi and Mohammed Hammam, Mohammed Al-Madani and Muhammad Shabir, Shaharudin (2023) COVID-19 and global supply chain risks mitigation: Systematic review using a scientometric technique. Journal of Science and Technology Policy Management. pp. 1-26. ISSN 2053-4620. (In Press / Online First) (In Press / Online First) https://doi.org/10.1108/JSTPM-01-2022-0013 https://doi.org/10.1108/JSTPM-01-2022-0013 |
| spellingShingle | H Social Sciences (General) HF Commerce RA Public aspects of medicine T Technology (General) Fernando, Yudi Mohammed Hammam, Mohammed Al-Madani Muhammad Shabir, Shaharudin COVID-19 and global supply chain risks mitigation: Systematic review using a scientometric technique |
| title | COVID-19 and global supply chain risks mitigation: Systematic review using a scientometric technique |
| title_full | COVID-19 and global supply chain risks mitigation: Systematic review using a scientometric technique |
| title_fullStr | COVID-19 and global supply chain risks mitigation: Systematic review using a scientometric technique |
| title_full_unstemmed | COVID-19 and global supply chain risks mitigation: Systematic review using a scientometric technique |
| title_short | COVID-19 and global supply chain risks mitigation: Systematic review using a scientometric technique |
| title_sort | covid-19 and global supply chain risks mitigation: systematic review using a scientometric technique |
| topic | H Social Sciences (General) HF Commerce RA Public aspects of medicine T Technology (General) |
| url | http://umpir.ump.edu.my/id/eprint/38174/ http://umpir.ump.edu.my/id/eprint/38174/ http://umpir.ump.edu.my/id/eprint/38174/ http://umpir.ump.edu.my/id/eprint/38174/1/10-1108_JSTPM-01-2022-0013.pdf http://umpir.ump.edu.my/id/eprint/38174/7/COVID-19%20and%20global%20supply%20chain%20risks%20mitigation.pdf |