摘要(英) |
This study investigates how digital transformation can optimize trade secret management processes, enhancing organizational confidentiality and management efficiency. The research focuses on a domestic defense technology company facing challenges due to its reliance on paper-based operations in managing trade secrets. This reliance has resulted in low operational efficiency, unreasonable scheduling, and insufficient risk management. The study employs the problem-solving QC Story methodology as the primary research approach, supplemented by tools such as histograms, Pareto charts, Gantt charts, fishbone diagrams, and the PDCA cycle to analyze the current state and design improvement measures.
In the case study, a comprehensive analysis of the existing trade secret approval process identified key issues, including cumbersome approval procedures, improper task scheduling, and a lack of effective monitoring mechanisms. Based on the root cause analysis, a digital workflow system was designed and implemented. The system features online approval, real-time progress tracking, and encrypted document transmission, aimed at optimizing management processes, reducing errors, and strengthening data security.
After implementing the improvement measures, the results showed a 47% reduction in total processing time for trade secret approvals. This significantly lowered potential risks of data leakage caused by inefficient scheduling. The research also validated the applicability of the QC Story methodology in modern enterprise process optimization.
The findings indicate that digital transformation not only enhances the effectiveness of trade secret management but also improves organizational resilience and competitiveness in high-risk environments. Future recommendations include extending the application of this strategy to other departments or processes to maximize the long-term value of digital transformation initiatives. |
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