Identification of the Critical Factors for Global Supply Chain Management under the COVID-19 Outbreak via a Fusion Intelligent Decision Support System
Under the ravages of COVID-19, global supply chains have encountered unprecedented disruptions. Past experiences cannot fully explain the situations nor provide any suitable responses to these fatal shocks on supply chain management (SCM), especially in todays’ highly intertwined/globalized business...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-04-01
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| Series: | Axioms |
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| Online Access: | https://www.mdpi.com/2075-1680/10/2/61 |
| _version_ | 1797537549520994304 |
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| author | Kuang-Hua Hu Fu-Hsiang Chen Ming-Fu Hsu Shuyi Yao Ming-Chin Hung |
| author_facet | Kuang-Hua Hu Fu-Hsiang Chen Ming-Fu Hsu Shuyi Yao Ming-Chin Hung |
| author_sort | Kuang-Hua Hu |
| collection | DOAJ |
| description | Under the ravages of COVID-19, global supply chains have encountered unprecedented disruptions. Past experiences cannot fully explain the situations nor provide any suitable responses to these fatal shocks on supply chain management (SCM), especially in todays’ highly intertwined/globalized business environment. This research thus revisits and rechecks the crucial components for global SCM during such special periods, and the basic essence of such management covers numerous perspectives that can be categorized into a multiple criteria decision making (MCDM) approach. To handle this complex issue appropriately, one can introduce a fusion intelligent system that involves data envelopment analysis (DEA), rough set theory (RST), and MCDM to understand the reality of the analyzed problem in a faster and better manner. Based on the empirical results, we rank the priorities in order as cash management and information (D), raw material supply (B), global management strategy (C), and productivity and logistics (A) for improvement in SCM. This finding is confirmed by companies now undergoing a downsizing strategy in order to survive in this harsh business environment. |
| first_indexed | 2024-03-10T12:16:48Z |
| format | Article |
| id | doaj.art-d356e2949fb249a9ae047d9902d55d3d |
| institution | Directory Open Access Journal |
| issn | 2075-1680 |
| language | English |
| last_indexed | 2024-03-10T12:16:48Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Axioms |
| spelling | doaj.art-d356e2949fb249a9ae047d9902d55d3d2023-11-21T15:48:19ZengMDPI AGAxioms2075-16802021-04-011026110.3390/axioms10020061Identification of the Critical Factors for Global Supply Chain Management under the COVID-19 Outbreak via a Fusion Intelligent Decision Support SystemKuang-Hua Hu0Fu-Hsiang Chen1Ming-Fu Hsu2Shuyi Yao3Ming-Chin Hung4Finance and Accounting Research Center, School of Accounting, Nanfang College, Guangzhou 510970, ChinaDepartment of Accounting, Chinese Culture University, Taipei 111, TaiwanEnglish Program of Global Business, Chinese Culture University, Taipei 111, TaiwanFinance and Accounting Research Center, School of Accounting, Nanfang College, Guangzhou 510970, ChinaDepartment of Financial Engineering and Actuarial Mathematics, Soochow University, Taipei 111, TaiwanUnder the ravages of COVID-19, global supply chains have encountered unprecedented disruptions. Past experiences cannot fully explain the situations nor provide any suitable responses to these fatal shocks on supply chain management (SCM), especially in todays’ highly intertwined/globalized business environment. This research thus revisits and rechecks the crucial components for global SCM during such special periods, and the basic essence of such management covers numerous perspectives that can be categorized into a multiple criteria decision making (MCDM) approach. To handle this complex issue appropriately, one can introduce a fusion intelligent system that involves data envelopment analysis (DEA), rough set theory (RST), and MCDM to understand the reality of the analyzed problem in a faster and better manner. Based on the empirical results, we rank the priorities in order as cash management and information (D), raw material supply (B), global management strategy (C), and productivity and logistics (A) for improvement in SCM. This finding is confirmed by companies now undergoing a downsizing strategy in order to survive in this harsh business environment.https://www.mdpi.com/2075-1680/10/2/61COVID-19supply chain managementdata envelopment analysisrough set theorymultiple criteria decision making |
| spellingShingle | Kuang-Hua Hu Fu-Hsiang Chen Ming-Fu Hsu Shuyi Yao Ming-Chin Hung Identification of the Critical Factors for Global Supply Chain Management under the COVID-19 Outbreak via a Fusion Intelligent Decision Support System Axioms COVID-19 supply chain management data envelopment analysis rough set theory multiple criteria decision making |
| title | Identification of the Critical Factors for Global Supply Chain Management under the COVID-19 Outbreak via a Fusion Intelligent Decision Support System |
| title_full | Identification of the Critical Factors for Global Supply Chain Management under the COVID-19 Outbreak via a Fusion Intelligent Decision Support System |
| title_fullStr | Identification of the Critical Factors for Global Supply Chain Management under the COVID-19 Outbreak via a Fusion Intelligent Decision Support System |
| title_full_unstemmed | Identification of the Critical Factors for Global Supply Chain Management under the COVID-19 Outbreak via a Fusion Intelligent Decision Support System |
| title_short | Identification of the Critical Factors for Global Supply Chain Management under the COVID-19 Outbreak via a Fusion Intelligent Decision Support System |
| title_sort | identification of the critical factors for global supply chain management under the covid 19 outbreak via a fusion intelligent decision support system |
| topic | COVID-19 supply chain management data envelopment analysis rough set theory multiple criteria decision making |
| url | https://www.mdpi.com/2075-1680/10/2/61 |
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