情报科学 ›› 2025, Vol. 43 ›› Issue (3): 135-145.

• 博士论坛 • 上一篇    下一篇

乡村振兴智慧审计体系的知识流转机制研究

  

  • 出版日期:2025-03-05 发布日期:2025-05-27

  • Online:2025-03-05 Published:2025-05-27

摘要: 【目的/意义】相比传统智慧审计,乡村振兴智慧审计在实时数据应用与跨部门联动上具有特殊需求,为应 对乡村振兴审计的复杂性,智慧审计需构建高效的知识流转机制,以全面提升工作效率。【方法/过程】本文以知识 获取、共享、应用和创新四大环节为核心,结合乡村振兴审计的场景特征,设计出适配乡村振兴智慧审计需求的知 识流转机制框架,并通过实际案例印证其合理性。【结果/结论】该机制通过人才培养型审计场景、共享型审计场景、 数字应用型审计场景与研究型审计场景的闭环流程,确保智慧审计体系能够动态响应政策调整需求,同时推动审 计模式的持续优化与创新。【创新/局限】本文在理论上提出了面向乡村振兴智慧审计的知识流转机制框架,为智慧 审计理论的农村场景化拓展提供了新视角;在实践中,该框架为提升乡村振兴审计工作的效率提供了重要参考。 然而,由于基层信息化基础与数据标准化程度的制约,该机制的推广与实施仍需在实践中不断验证和优化。

Abstract: 【Purpose/significance】Compared with traditional smart audit, smart audit of rural revitalization has special needs in realtime data application and cross-department linkage.In order to cope with the complexity of rural revitalization audit, smart audit needs to build an efficient knowledge transfer mechanism to comprehensively improve work efficiency【. Method/process】This paper takes the four links of knowledge acquisition, sharing, application and innovation as the core, and combines the scene characteristics of rural re⁃ vitalization audit to design the knowledge transfer mechanism framework that meets the needs of rural revitalization smart audit, and verifies its rationality through actual cases.【Result/conclusion】Through the closed-loop process of talent-training audit scenario, shared audit scenario, digital application audit scenario and research-based audit scenario, the mechanism ensures that the smart au⁃ dit system can dynamically respond to the demand of policy adjustment, and promotes the continuous optimization and innovation of audit mode【. Innovation/limitation】This paper theoretically proposes a knowledge transfer mechanism framework for smart audit of ru⁃ ral revitalization, which provides a new perspective for the rural scenario-oriented expansion of smart audit theory. In practice, this framework provides an important reference for improving the efficiency of rural revitalization audit work. However, due to the restriction of grassroots informatization foundation and data standardization degree, the promotion and implementation of this mechanism still needs to be constantly verified and optimized in practice.