Data governance in operations and supply chain: a literature review

Purpose In the dynamic landscape of contemporary business, the wave in data and technological advancements has directed companies toward data-driven decision-making processes. Despite the vast potential that data holds for strategic insights and operational efficiencies, significant challenges persist in managing data quality, security and integration, particularly within the complex and dynamic field of operations and supply chain management (OSCM). These challenges underscore the critical need for effective data governance (DG) tailored to the unique requirements of OSCM. This paper aims to improve understanding of DG in the OSCM context. Design/methodology/approach While research on DG in the information systems (IS) and information management (IM) domains is relatively developed, its role in OSCM remains underexplored. Existing studies focus on technical and enterprise-wide aspects rather than the unique challenges of operational complexities in OSCM. To bridge this gap, this study conducts a systematic literature review to synthesize and assess existing DG research in OSCM. Findings This study scrutinizes the collected literature from both OSCM and DG perspectives, offering a comprehensive foundation for advancing DG in OSCM. Originality/value From an academic standpoint, it enhances the theoretical understanding of DG by mapping existing research and identifying key challenges and research gaps. It also suggests future research directions that align DG with the dynamic needs of OSCM environments. From a practical perspective, the analysis results offer practical insights and inspirations that can guide organizations in improving DG practices and maximizing the value of their data assets.