An integrative review and conceptual framework for analytics-enabled sustainable industrial supply chains

Industrial Sustainable Supply Chain Management (ISSCM) has emerged as a strategic imperative for industries aiming to reconcile economic performance with environmental governance and social responsibility. Traditional Industrial Supply Chains (ISCs) models often fall short in delivering key determinants required for sustainability. However, despite the growing literature body on the individual contributions of many technologies, their integration and interoperability for ISSCM remain insufficiently explored. To this end, this paper proposes an integrated conceptual framework that enables synergistic integration and interoperability among IoT, Blockchain, and BDA within ISSCM. The framework identifies their functional roles, interactions, and complementarities in enhancing sustainability key determinants. It highlights the potential to target significant performance benchmarks, with expected results including a projected 20%–30% improvement in resource efficiency and a 15%–25% reduction in carbon emissions. Furthermore, the architecture aims to achieve a 30%–40% enhancement in information transparency and trust across the ISC stakeholders. The proposed framework contributes both theoretical grounding and practical guidance for building intelligent, transparent, and sustainable industrial networks.