Data-Driven Supply Chains and Sustainability in Agri-Food Processing
DOI: https://doi.org/10.65967/cpbo.v2i1.56
Supply Chain Analytics, Sustainable Performance, Information Processing Capability, Supply Chain Governance, Circular Economy Orientation
Abstract
Data-driven supply chain management capability (DDSCMC) has become an essential organizational capability for enhancing supply chain effectiveness through improved data utilization, analytics, and decision support. Despite its growing importance, limited research has examined the mechanisms through which DDSCMC contributes to sustainable supply chain performance (SSCP) within agro-processing firms. Drawing upon Organizational Information Processing Theory (OIPT), this study investigates the relationship between DDSCMC and SSCP while examining the mediating role of supply chain transparency (SCT) and the moderating role of circular economy thinking (CET). Data were collected from 249 agro-processing firms in China and analyzed using structural equation modeling (SEM). The results reveal that DDSCMC positively influences both supply chain transparency and sustainable supply chain performance. Furthermore, supply chain transparency serves as a significant mediating mechanism through which DDSCMC enhances sustainability outcomes. The findings also demonstrate that circular economy thinking strengthens the positive effect of DDSCMC on transparency and amplifies its indirect contribution to sustainable supply chain performance. This study extends the application of Organizational Information Processing Theory by illustrating how data-driven supply chain capabilities promote sustainability through enhanced transparency and circular economy-oriented decision-making. The findings also provide practical guidance for agro-processing firms seeking to improve sustainability performance by strategically integrating data-driven management capabilities, transparency practices, and circular economy principles into their supply chain operations.
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