Data Governance and Data Management in Operations and Supply Chain: A Literature Review
<|reference_start|>Data Governance and Data Management in Operations and Supply Chain: A Literature Review: 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.<|reference_end|>
@article{li2024data,
    title={Data Governance and Data Management in Operations and Supply Chain: A
  Literature Review},
    author={Xuejiao Li, Yang Cheng, Xiaoning Xia, Charles M{o}ller},
    journal={arXiv preprint arXiv:2407.06199},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.06199},
    primaryClass={cs.DB}
}