业务
供应链
风险分析(工程)
2019年冠状病毒病(COVID-19)
供应链风险管理
供应链网络
风险管理
产业组织
供应链管理
网络分析
计算机科学
大流行
运营管理
过程管理
链条(单位)
营销
财务
精算学
计算机安全
风险评估
作者
Dillon W. Thompson,Saroj Raut,Alexandr M. Sokolov,Niamat Ullah Ibne Hossain
标识
DOI:10.1080/17517575.2025.2568657
摘要
A comprehensive bibliometric and network analysis on supply chain risk is presented in this study. This study analysed research published in the field of supply chain risk to determine the most relevant and impactful statistics that indicate their influence and impact. The Scopus database was searched and 3,427 published articles concerning research on supply chain risk between the years 2018-2024, encompassing both the immediate pre- and post-COVID era were identified. This data was analysed using bibliometric and network analyses to determine the desired key statistics of the most impactful actors, trends, topics, research methods, thematic clusters, and collaboration networks.
科研通智能强力驱动
Strongly Powered by AbleSci AI