The author developed a collaborative governance model for managing paper and electronic documents within a dual-track archival system that addresses persistent challenges in information fragmentation, low coordination efficiency, and inconsistent standards that arise when both formats coexist. They draw on system governance theory to propose a model that integrates metadata-driven management with intelligent process automation. Qualitative analysis and performance bench marking was used to test the model in a real-world pilot setting. The results showed a 49.2% reduction in filing time from 128 s to 65 s and an increase in data verification accuracy from 85% to 98%. Automated verification and early-warning mechanisms also reduced security risks and improved traceability. The findings suggest that the model significantly improves operational efficiency and data integrity while reducing reliance on manual processes. This study offers a scalable way to meld traditional and digital archival practices across institutions with varying technical capacities.
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Ying Zhang
Information Resources Management Journal
Shenyang University
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Ying Zhang (Mon,) studied this question.
www.synapsesocial.com/papers/68e5c1c36950a706b22b59ca — DOI: https://doi.org/10.4018/irmj.390238