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Supply chain risk management modelling: A systematic literature network analysis review
IMA Journal of Management Mathematics ( IF 1.7 ) Pub Date : 2020-09-05 , DOI: 10.1093/imaman/dpaa019
Marcus Vinicius Carvalho Fagundes 1 , Eduardo Oliveira Teles 2 , Silvio A B Vieira de Melo 3 , Francisco Gaudêncio Mendonça Freires 4
Affiliation  

The modelling of supply chain risk management (SCRM) has attracted increasing attention from researchers and professionals. However, a systematic network analysis of the literature to understand the development of research over time is lacking. Therefore, this study reviews SCRM modelling and its evolution as a scientific field. We collected 566 papers published in the Scopus database and shortlisted 120 for review. We have analysed the field's performance, mapped the most influential studies, as well as the generative and evolutionary research areas, and derived future research directions. Using bibliometric methods and tools for citation network analysis to understand the field's dynamic development, we find that five generative research areas provide the fundamental knowledge for four evolutionary research areas. The interpretation of gaps and trends in these areas provides an SCRM modelling timeline with 14 future research directions, which should consider adopting a holistic SCRM approach and developing prescriptive and normative risk models. The holistic approach enables more research on key factors—like process integration, design, information risk, visibility and risk coordination—that directly impact industry, decision-makers and sustainability needs. Risk models with evolved prescriptive and normative typology should respect both business model strategies and actual supply chain performance.

中文翻译:

供应链风险管理建模:系统文献网络分析评论

供应链风险管理(SCRM)的建模吸引了研究人员和专业人员的越来越多的关注。然而,缺乏对文献进行系统的网络分析以了解随着时间的推移研究的发展。因此,本研究回顾了SCRM建模及其作为一个科学领域的演变。我们收集了566篇发表在Scopus数据库中的论文,并入围了120篇论文进行审查。我们已经分析了该领域的表现,绘制了最有影响力的研究以及生成和进化研究领域,并得出了未来的研究方向。使用文献计量方法和引文网络分析工具来了解该领域的动态发展,我们发现五个生成研究领域为四个进化研究领域提供了基础知识。对这些领域的差距和趋势的解释为SCRM建模提供了14个未来研究方向的时间表,应该考虑采用整体SCRM方法并开发规范性和规范性风险模型。整体方法使人们能够对直接影响行业,决策者和可持续性需求的关键因素进行更多研究,例如流程集成,设计,信息风险,可见性和风险协调。具有发展性规定和规范类型的风险模型应同时尊重业务模型策略和实际供应链绩效。整体方法使人们能够对直接影响行业,决策者和可持续性需求的关键因素进行更多研究,例如流程集成,设计,信息风险,可见性和风险协调。具有发展性规定和规范类型的风险模型应同时尊重业务模型策略和实际供应链绩效。整体方法使人们能够对直接影响行业,决策者和可持续性需求的关键因素进行更多研究,例如流程集成,设计,信息风险,可见性和风险协调。具有发展性规定和规范类型的风险模型应同时尊重业务模型策略和实际供应链绩效。
更新日期:2020-09-23
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