Author(s)

Gao Yeping ¹

Affiliation(s)

¹ Beijing University of Aeronautics and Astronautics, 100191, Beijing, China

Corresponding Author

Gao Yeping

ABSTRACT

The management and service of social insurance in colleges and universities are facing the dual challenges of institutional obstruction and technical shortage. Its optimization needs to break through the traditional "risk hedging" framework and shift to the governance paradigm of "human capital appreciation". This study, by constructing a multi-agent collaborative governance system and a digital transformation path, reveals the theoretical logic and practical mechanism of the transformation from "segmented management" to "full life cycle services". The research finds that institutional contradictions are mainly manifested as the identity barriers of the "dual-track system" and regional imbalances, while technological empowerment can achieve governance upgrades through data assetization and intelligent prediction models. The research innovatively proposes a three-layer architecture of "data middle platform - intelligent hub - service terminal", and constructs a risk transmission network and policy simulation sandbox, providing a solution to break the predicament of "passive response". Ultimately, the research emphasizes the need to establish a balance between technical rationality and humanistic care, and promote the transformation of social security services from a cost center to a value creation node through dynamic incentives and algorithmic auditing mechanisms.

KEYWORDS

University Social Insurance Management; Digital Transformation; Full Life Cycle Service; Multi-Agent Collaborative Governance; Data Assetization

CITE THIS PAPER

Gao Yeping, Study on the Optimization of Social Insurance Management Services for Human Resources in Colleges and Universities. Social Security and Administration Management (2025) Vol. 6: 101-107. DOI: http://dx.doi.org/10.23977/socsam.2025.060113.

REFERENCES

[1] Liu Xiujun. Research on the Optimization of the Collection and Management System of Social Insurance Premiums [J]. Journal of Hunan Taxation College,2024,37(1):43-46.
[2] Cheng Jing. Research on the Value of Social Endowment Insurance in Enterprise Human Resource Management [J] Township Enterprise Guide,2022(6):0235-0237.
[3] Zhou Xinfa. Research on the Optimization of the Operation and Management of Social Insurance Funds in China in the New Era [J] Journal of Insurance Vocational College,2022,36(3):67-73.
[4] Du Changchun. Research on Improving the Quality and Efficiency of Human Resource Management in Public Institutions through Social Insurance Work [J] Economic and Social Development Research,2024(8):0125-0127.
[5] Shang Lijing. Research on the Problems and Optimization Measures of Human Resource Management [J]. Knowledge Economy,2022(25):82-84.

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