This study investigates how advanced technologies support Sustainable Development Goals (SDGs) within supply chain management (SCM) through a structured analysis of 4448 sustainable practices. By integrating perspectives from sustainability-oriented innovation (SOI) and contingent dynamic capabilities, the research conceptualizes technology adoption as a context-dependent driver of environmental, economic, and social performance. Eleven advanced technologies are mapped across 25 supply chain (SC) processes and 169 SDG targets using association indices and Pearson correlations, revealing hidden linkages and recurrent technological configurations. The results highlight the central role of AI, IoT, blockchain, and computing in accelerating sustainability transitions, while exposing a persistent underrepresentation of social-oriented practices. An integrated mapping synthesizes patterns of technological implementation across SC processes, offering a holistic understanding of SOI alignment. Building on these insights, the study proposes a framework for guiding digital transformation in SCs, providing actionable managerial and policy implications to strengthen strategic coherence and support SDG-oriented decision-making.
Where Tech Meets the SDGs: A Supply-Chain Process Map for Sustainability Management
Varriale V.
;Cammarano A.;
2026
Abstract
This study investigates how advanced technologies support Sustainable Development Goals (SDGs) within supply chain management (SCM) through a structured analysis of 4448 sustainable practices. By integrating perspectives from sustainability-oriented innovation (SOI) and contingent dynamic capabilities, the research conceptualizes technology adoption as a context-dependent driver of environmental, economic, and social performance. Eleven advanced technologies are mapped across 25 supply chain (SC) processes and 169 SDG targets using association indices and Pearson correlations, revealing hidden linkages and recurrent technological configurations. The results highlight the central role of AI, IoT, blockchain, and computing in accelerating sustainability transitions, while exposing a persistent underrepresentation of social-oriented practices. An integrated mapping synthesizes patterns of technological implementation across SC processes, offering a holistic understanding of SOI alignment. Building on these insights, the study proposes a framework for guiding digital transformation in SCs, providing actionable managerial and policy implications to strengthen strategic coherence and support SDG-oriented decision-making.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
