Big data analytics capabilities enhance green product innovation and dual sustainability performance via green dynamic capabilities

This study examines how multidimensional big data analytics capabilities (BDAC) are associated with green dynamic capabilities (GDC) and green product innovation (GPI) and, in turn, with firms’ economic and environmental performance. Grounded in dynamic capabilities and resource-based view theories, data were collected from 303 Chinese manufacturing firms and analyzed using partial least squares structural equation modeling, with procedural remedies applied to mitigate common method bias. Technology, basic resources, managerial skills, and data-driven culture were positively associated with GDC, whereas data and technical skills showed no significant association. GDC, in turn, was positively associated with GPI, which improved economic and environmental performance. The findings suggest that selected dimensions of BDAC are associated with stronger GDC, extending the resource-based view by disaggregating BDAC into its constituent dimensions. This study contributes to the literature on translating technological capabilities into sustainable value by showing that managerial and cultural dimensions of BDAC, not only technical ones, jointly shape GPI, and dual sustainability outcomes.