In the dynamic landscape of contemporary business, the wave in data and technological advancements has directed companies toward embracing data-driven decision-making processes. Despite the vast potential that data holds for strategic insights and operational efficiencies, substantial challenges arise in the form of data issues. Recognizing these obstacles, the imperative for effective data governance (DG) becomes increasingly apparent. This research endeavors to bridge the gap in DG research within the Operations and Supply Chain Management (OSCM) domain through a comprehensive literature review. Initially, we redefine DG through a synthesis of existing definitions, complemented by insights gained from DG practices. Subsequently, we delineate the constituent elements of DG. Building upon this foundation, we develop an analytical framework to scrutinize the collected literature from the perspectives of both OSCM and DG. Beyond a retrospective analysis, this study provides insights for future research directions. Moreover, this study also makes a valuable contribution to the industry, as the insights gained from the literature are directly applicable to real-world scenarios.

翻译：在当代商业的动态格局中，数据和技术进步的浪潮已引导公司拥抱数据驱动的决策流程。尽管数据在战略洞察和运营效率方面蕴藏着巨大潜力，但数据问题也带来了重大挑战。认识到这些障碍后，实施有效数据治理的迫切性日益凸显。本研究旨在通过全面的文献综述，弥合运营与供应链管理领域内数据治理研究的空白。首先，我们通过综合现有定义，并结合从数据治理实践中获得的见解，重新定义了数据治理。随后，我们界定了数据治理的构成要素。在此基础上，我们构建了一个分析框架，从运营与供应链管理和数据治理的双重视角来审视所收集的文献。除了回顾性分析，本研究还为未来的研究方向提供了见解。此外，本研究也对业界做出了宝贵贡献，因为从文献中获得的见解可直接应用于现实场景。