Building Sustainable Development Capabilities Through Pollution Governance: Decision Reconfiguration in Digital Twin–Enabled Manufacturing Supply Chains

ABSTRACT This study examines how, after adopting digital twins, manufacturing supply chains shape members' decision reconfiguration to strengthen pollution governance and build sustainable development capability. Survey data were collected from manufacturing supply chains in China, and partial least squares structural equation modeling was used to test a decision transformation framework. The results show that digital twins promote shared situational clarity about pollution and perceived controllability of predictive interventions among supply chain members. These conditions consistently and differentially strengthen Decision Synchronization and anticipation, both directly and indirectly through a Proactive Pollution Intervention Orientation, with perceived controllability exerting a stronger influence on anticipatory decision‐making than on synchronization ( β = 0.318 vs. 0.241). All hypothesized relationships were statistically supported. This is driving governance decisions to shift from fragmented responses toward more centralized patterns and thereby substantially enhancing sustainable pollution governance resilience. This study provides evidence on how digital twins reshape decision‐behavior pathways that advance sustainable pollution governance resilience and offers practical implications for related research.