From the Perspective of Internal Control: Evaluating and Optimizing the Efficiency of the Online Financial Approval Model in Universities

Abstract

As the economic activities within universities grow increasingly complex and digital transformation deepens, the online financial approval model has become crucial for enhancing management efficiency. However, it still faces challenges such as a high rejection rate, weak risk control, and insufficient integration with the internal control system. Based on a three-dimensional collaborative theoretical framework of "Internal Control-Technology Empowerment-Dynamic Assessment," this paper systematically analyzes the intrinsic coupling mechanism between the five elements of internal control and the digital approval process. It constructs a multi-dimensional effectiveness evaluation system covering process efficiency, risk control balance, system reliability, and user experience, thereby addressing the challenge of evaluation adaptability amidst policy changes. Concurrently, it proposes collaborative optimization pathways, including dynamic node optimization, modular embedded design, full-cycle risk iteration, and technology empowerment innovation. These pathways aim to promote the evolution of the online approval model from static process execution to intelligent risk adaptation, providing theoretical support and practical solutions for the modernization of financial governance in universities.