Perspectives on the Optimization Path and Information Transformation of Fixed Asset Management in Chinese Universities

Abstract

This paper provides an in-depth analysis of the current status, existing problems, and their causes in fixed asset management in universities. It also proposes optimization paths and practical case studies. The study indicates that issues such as inadequate systems, low levels of informatization, inefficient asset utilization, and insufficient professional capabilities of management teams exist in university fixed asset management. These problems are attributed to factors including lack of enforcement of regulations, disconnecting between budgeting and procurement, lagging technology, and absence of performance evaluation mechanisms. To address these challenges, this paper suggests a four-dimensional approach involving system optimization, technological empowerment, performance evaluation, and talent assurance for advancing management reform and capability enhancement. Through typical case studies, it highlights the critical role of coordinated advancement in systems, technology, and human resources in improving asset management effectiveness. In the future, universities should further explore the application of artificial intelligence and big data prediction technologies in asset allocation and performance assessment, driving university fixed asset management towards a smarter new phase, providing solid material support and strong backing for core activities like teaching, education, and scientific research.

Keywords: University fixed assets, Asset management, Informatization, Performance evaluation, System optimization

DOI: 10.7176/EJBM/17-10-04

Publication date: December 30th 2025