Big Data Analytics in Sustainable Supply Chain Management: A Focus on Manufacturing Supply Chains

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