AI-Empowered Innovation Pathways for University Administrative Management: A Three-Dimensional Framework Integrating Technology, Institutions, and Talent_Vol. 3 No. 2 (JHET 2026)_Journal of Higher Education Teaching (ISSN: 3005-5776)

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AI-Empowered Innovation Pathways for University Administrative Management: A Three-Dimensional Framework Integrating Technology, Institutions, and Talent

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DOI: https://doi.org/10.62517/jhet.202615223

Author(s)

Wei Xu

Affiliation(s)

Central University of Finance and Economics, Beijing, China

Abstract

Artificial intelligence is now reshaping digital transformation in higher education. However, existing discussions still focus more on teaching, learning, and assessment, while giving insufficient attention to the administrative systems that support the daily operation of universities. This paper examines how AI can promote innovation in university administrative management, with particular attention to the organizational conditions under which such innovation can be implemented. Through a qualitative analysis of research on AI in higher education, digital transformation, public-sector AI adoption, and institutional AI governance, this paper identifies three long-standing core problems in university administration: fragmented data systems, inefficient administrative processes, and weak governance and capability structures. Drawing on socio-technical systems theory and the technology-organization-environment (TOE) framework, the paper develops an analytical framework composed of three dimensions: technology empowerment, institutional innovation, and talent development. The core argument is that institutional innovation plays a critical role because AI projects cannot be scaled through technical tools alone. They also require institutional authorization, process redesign, improved data governance, and clear responsibility arrangements across departments. The paper further proposes a staged implementation path to guide universities from limited pilot projects toward a more stable administrative transformation with clearer accountability.

Keywords

Artificial Intelligence; University Administrative Management; Digital Transformation; Governance; Talent Development

References

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