  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.
