The logistics sector is experiencing accelerated growth, driven by global sustainability agendas and increasing commitments to achieving net-zero emissions. Big Data Analytics (BDA) has been widely recognized for its potential to enhance operational efficiency and supply chain performance. Nevertheless, its role in advancing sustainability outcomes particularly through an integrated capability perspective—remains insufficiently theorized and empirically examined.

Prior research has predominantly approached BDA from a fragmented perspective, focusing on discrete dimensions such as technological infrastructure, data governance, or human competencies. This reductionist approach has limited the understanding of how BDA capabilities, as a multidimensional construct, interact to influence sustainability outcomes across economic, environmental, and social domains. Addressing this gap, the present study develops and applies an integrative theoretical framework that synthesizes the Resource-Based View (RBV), Dynamic Capability View (DCV), Technology–Organization–Environment (TOE) framework, and the Technology Acceptance Model (TAM).

The findings demonstrate that BDA capabilities function as a strategic enabler, facilitating opportunity recognition, strengthening competitive positioning, and supporting the reconfiguration of organizational resources in response to dynamic environmental pressures. This study contributes to the literature by advancing a holistic understanding of the BDA–sustainability nexus and extending capability-based perspectives in the context of logistics management.