The Institutional Evolution of Chinese University Data Governance: An Analytical Framework Based on Historical Institutionalism
Duanhong Zhang, Bowen Song, Hongwei Geng, Yiming Chen, Hong Liu · Education Sciences · 2025
This article examines the institutional evolution of university data governance in China through the lens of historical institutionalism, offering a novel perspective on this critical topic. This framework provides a structured approach to analyzing the role of institutional factors, power dynamics, and path dependence in shaping university data governance. Since the onset of the information age, Chinese university data governance has evolved through three distinct phases: functional departmentalism, cross-departmental collaborative governance with hierarchical structures, and governance focused on data openness and application. At a deeper level, shifts in governmental data governance serve as key indicators of transformations in university data governance, demonstrating the interplay between institutional frameworks and power structures. Path dependence is evident, with rational choices made by both the government and universities driving the persistence of existing governance models. Legitimacy emerges as the core driving force behind these institutional changes, while efficiency acts as an accelerator, contingent on legitimacy. To advance data governance, Chinese universities must break free from path dependence, reform institutional frameworks, and adapt data power structures to meet the evolving demands of data openness and effective application.