基于Z数字的模糊MCDM模型分析非传统的安全威胁,以资助供应链:越南的一个案例研究
Phi-Hung Nguyen1, Lan-Anh Thi Nguyen1, The-Vu Pham1
1Research Center of Applied Sciences, Faculty of Business, FPT University, Hanoi, 100000, Viet Nam.
Heliyon
|June 6, 2024
概括
非传统的安全威胁对越南的供应链金融产生了重大影响. 这项研究确定了19种威胁,强调全球经济衰退,流行病,金融危机和网络安全作为关键驱动因素,并提出可持续实践和风险对冲作为有效策略.
科学领域:
- 经济学 经济学 经济学
- 安全研究 安全研究
- 供应链管理 供应链管理
背景情况:
- 非传统安全 (NTS) 威胁对全球经济稳定和商业运营构成重大风险.
- 供应链金融 (SCF) 特别容易受到这些NTS威胁的影响,尤其是在越南等发展中国家.
- 了解NTS威胁对SCF的影响和相互关系对于经济性至关重要.
研究的目的:
- 识别和分析影响越南供应链金融 (SCF) 的非传统安全 (NTS) 威胁.
- 确定已识别的NTS威胁与SCF之间的影响权重和因果关系.
- 提出和排名有效的策略,以减轻NTS威胁对SCF的负面影响.
主要方法:
- 文献审查和DELPHI技术用于NTS威胁识别.
- 决策试验和评估实验室 (DEMATEL) 进行影响权重和因果分析.
- 通过与理想解决方案相似的优先顺序技术 (TOPSIS) 进行战略排名.
- 整合多重标准决策 (MCDM),Z数和模糊集合理论以提高准确性.
主要成果:
- 确定了19个不同的NTS影响越南SCF的因素.
- 全球经济衰退,流行病/健康危机,金融危机和网络安全风险成为四大最具影响力的根本原因.
- 可持续实践和风险对冲策略被列为最有效的缓解方法.
结论:
- 对企业和政策制定者来说,解决已识别的根源NTS威胁对提高SCF弹性至关重要.
- 实施可持续的业务实践和强大的风险对冲策略对于应对NTS挑战至关重要.
- 持续监测宏观经济环境,技术进步和环境因素对于SCF的积极风险管理至关重要.
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