供应链
脆弱性(计算)
杠杆(统计)
弹性(材料科学)
过程管理
供应链管理
计算机科学
风险分析(工程)
业务
脆弱性评估
供应链风险管理
知识管理
服务管理
心理弹性
计算机安全
营销
物理
机器学习
热力学
心理治疗师
心理学
作者
Xiaoting Guo,Zhaojun Yang,Jun Sun,Yali Zhang
标识
DOI:10.1016/j.eswa.2023.122398
摘要
Enterprises leverage emerging ITs like big data analytics, the Internet of Things, and blockchain to enhance the resilience of their supply chains in volatile environments. Nevertheless, the precise mechanisms through which these technologies mitigate supply chain vulnerability remain elusive. This study identifies nine emerging ITs and fourteen mitigating factors that contribute to reducing supply chain vulnerability, drawing from both literature and interviews. Employing a novel DEMATEL-ISM approach, it unveils multi-stage impact pathways through which these technologies decrease supply chain vulnerability based on the degrees of their interactions. Utilizing grounded theory methodology, the study delves into the significance of individual factors within the system and explores their hierarchical relationships. The results indicate that emerging ITs do not directly influence supply chain vulnerability but rather indirectly enhance internal factors by addressing external organizational factors, thereby fortifying supply chain resilience. Notably, in comparison to other dimensions, the impact of emerging ITs on supply chain operations holds greater significance. The findings offer valuable guidance on how companies can effectively integrate these crucial technologies into their risk management strategies.
科研通智能强力驱动
Strongly Powered by AbleSci AI