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Professional Autonomy and Knowledge Sharing as Drivers of School Self-Evaluation: A Structural Equation Model of Knowledge Management in Hong Kong Schools

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  • Eric C. K. Cheng

    (Department of Curriculum and Instruction, Faculty of Education and Human Development, The Education University of Hong Kong, Hong Kong 999077, China)

Abstract

This paper proposes a conceptual framework for strengthening school quality assurance through knowledge management to support sustainable education. Drawing on the international priorities of the OECD and UNESCO, the study positions school self-evaluation as a central quality-assurance mechanism that can promote continuous improvement, accountability, equity, and better learning outcomes. Methodologically, the study adopts a quantitative research design to collect data from 978 teachers across 20 schools in Hong Kong. Exploratory factor analysis and structural equation modelling were employed to identify the latent variables and validate the conceptual framework. Results show that effective quality assurance depends on both formal procedures and the school’s capacity to create, share, and use knowledge. Key knowledge management enablers include visionary leadership, professional autonomy, bureaucratic control, information technology infrastructure, and a collaborative culture of knowledge sharing. Within this model, professional autonomy and knowledge sharing link management conditions to evidence-informed reflection, planning, and improvement. The framework is situated in the context of Hong Kong schools while offering broader relevance for education systems seeking sustainable development. The study concludes that sustainable school self-evaluation is driven primarily by teacher professional autonomy (β = 0.738, total effect = 0.795), with knowledge sharing functioning as a critical mediating mechanism that transmits the effects of visionary leadership (indirect β = 0.343) and enabling bureaucratic control (indirect β = 0.103) into evaluation quality. IT infrastructure does not exert a significant direct effect on SSE (β = 0.056, p = 0.098), indicating that technological provision is a necessary but insufficient condition for evaluation effectiveness in the Hong Kong context.

Suggested Citation

  • Eric C. K. Cheng, 2026. "Professional Autonomy and Knowledge Sharing as Drivers of School Self-Evaluation: A Structural Equation Model of Knowledge Management in Hong Kong Schools," Sustainability, MDPI, vol. 18(12), pages 1-25, June.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:12:p:6070-:d:1966201
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