With increasing global concerns about business continuity, societal welfare, and environmental degradation, corporate sustainability has gained significant academic attention. Big data analytics has emerged as a pivotal dynamic resource for enhancing sustainability, yet its adoption in Malaysia remains low, and research on its impact in emerging economies is limited. This study addresses this gap by examining the influence of big data analytics capability on sustainability performance and the mediating role of green supplier integration. Specifically, sustainability performance is divided into three dimensions: economic, social, and environmental. To provide a strategic roadmap for manufacturers and suggest targeted policies to policymakers to accelerate the industry’s transformation toward sustainability, a survey was administered to manufacturers. Using data from 245 manufacturing firms and partial least squares structural equation modeling, the findings reveal that both big data analytics capability and green supplier integration positively impact sustainability performance. Green supplier integration further mediates the relationship between big data analytics capability and sustainability, underscoring its critical role. The essence of this research is to dive into a compelling and pragmatic topic, offering insights to help enterprises understand the underlying mechanisms. It stands as one of the pioneering investigations that explores this influence through the lens of resource dependence theory within the realm of emerging technologies and sustainability requirements. Additionally, the present research offers theoretical insights into how big data analytics enhances sustainability and provides practical guidance for manufacturers to leverage external resources and foster supplier alliances for sustainable development.
Cheng et al. (Tue,) studied this question.
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