A maturity model for supply chain risk management

范围(计算机科学) 供应链 过程管理 成熟度(心理) 能力成熟度模型 业务 过程(计算) 结构化 供应链风险管理 供应链管理 风险分析(工程) 风险管理 独创性 概念模型 知识管理 计算机科学 服务管理 运营管理 营销 工程类 操作系统 法学 软件 创造力 程序设计语言 发展心理学 财务 数据库 政治学 心理学
作者
João Henrique Lopes Guerra,Fernando Bernardi de Souza,Sílvio Roberto Ignácio Pires,Anderson Luiz Ribeiro de Sá
出处
期刊:Supply Chain Management [Emerald (MCB UP)]
卷期号:29 (1): 114-136 被引量:1
标识
DOI:10.1108/scm-11-2022-0435
摘要

Purpose Supply chains are among the most important, complex and risky systems in the modern world. Thus, managing risk is no longer an option, but a fundamental process in organizations. Given the lack of pathways that guide companies toward supply chain risk management (SCRM), the purpose of this study is to provide a conceptual reference, in the form of a maturity model, to support them in the evolution and improvement of this process. Design/methodology/approach The proposal covered a broad literature review, a survey and a multiple case study. The research was conducted in the aerospace industry and included companies from the supply chain of a leading aircraft manufacturer. Findings The model elaborated with the research results has eight attributes and four levels, addressing critical issues for SCRM to achieve its scope and purposes. The attributes include the structuring and scope of the SCRM process, the importance it receives within the organization, the resources used and the qualification of employees, the role of leadership and the inter-organizational collaboration. Practical implications Managing risk along supply chains is particularly challenging, demands resources and knowledge and requires a continuous effort. The proposed model offers a reference for improvement, helping to identify areas that need to be strengthened and practices to be implemented. Thus, it can guide the focus and efforts in a more efficient and systematic way, in addition to support evaluations and comparisons. Originality/value Although maturity models are abundant in different fields and several are available for risk management, models specifically developed for SCRM are scarce. This study broadens the understanding of SCRM with novel insights about how to improve this process in an evolutionary way. While many researchers focused their efforts on the SCRM process steps, this study identified critical issues that transcend these steps. The research was carried out in a sector with a long tradition in risk management and included companies belonging to a same supply chain, that is, using an approach still little explored in studies on SCRM or risk management maturity models.
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