Sustainable supply chain management has been an important research issue for the last two decades due to climate change. From a global perspective, the United Nations have introduced sustainable development goals, which point towards sustainability. Manufacturing supply chains are among those that produce harmful effluents into the environment in addition to social issues that impact societies and economies where they operate. New developments in information and communication technologies, especially big data analytics (BDA), can help create new insights that can detect parts and members of a supply chain whose activities are unsustainable and take corrective action. While many studies have addressed sustainable supply chain management (SSCM), studies on the effect of BDA on SSCM in the context of manufacturing supply chains are limited. This conceptual paper applies Toulmin’s argumentation model to review relevant literature and draw conclusions. The study identifies the elements of big data analytics as data processing, analytics, reporting, integration, security and economic. The aspects of sustainable SCM are transparency, sustainability culture, corporate goals and risk management. It is established that BDA enhances SSCM of manufacturing supply chains. Cyberattacks and information technology skills gap are some of the challenges impeding BDA implementation. The paper makes a conceptual and methodological contribution to supply chain management literature by linking big data analytics and SSCM in manufacturing supply chains by using the rarely used Toulmin’s argumentation model in management studies.

中文翻译：

---

可持续供应链管理中的大数据分析：专注于制造供应链

由于气候变化，可持续供应链管理在过去的二十年中一直是一个重要的研究问题。从全球范围来看，联合国提出了可持续发展目标，指向可持续性。除了影响其运营所在的社会和经济的社会问题之外，制造供应链也是向环境中排放有害废水的供应链之一。信息和通信技术的新发展，尤其是大数据分析 (BDA)，可以帮助创造新的洞察力，可以检测供应链中活动不可持续的部分和成员，并采取纠正措施。虽然许多研究都涉及可持续供应链管理 (SSCM)，但在制造供应链的背景下，关于 BDA 对 SSCM 影响的研究是有限的。这篇概念性论文应用 Toulmin 的论证模型来回顾相关文献并得出结论。该研究将大数据分析的要素确定为数据处理、分析、报告、集成、安全和经济。可持续 SCM 的方面是透明度、可持续文化、企业目标和风险管理。确定 BDA 增强了制造供应链的 SSCM。网络攻击和信息技术技能差距是阻碍 BDA 实施的一些挑战。本文通过使用管理研究中很少使用的 Toulmin 论证模型，将制造供应链中的大数据分析和 SSCM 联系起来，对供应链管理文献做出了概念和方法论贡献。