Publication Details
Abstract
This study explores the effectiveness of transitioning to a smart university model within the context of ongoing digital transformation in higher education. It aims to develop a comprehensive methodological framework for assessing smart university performance through a set of integrated indicators covering academic, technological, organizational, economic, and social dimensions. A mixed-methods research design is employed, combining qualitative approaches such as expert evaluations, surveys, and focus group discussions with quantitative techniques, including statistical analysis, system-generated data, and benchmarking. The analysis focuses on selected leading international universities—Tsinghua University, UNSW Sydney, and Aalto University—which serve as representative cases across different regional and institutional environments. The findings of this study indicate that digital transformation plays a significant role in improving institutional performance across multiple areas, including academic reputation, research output, internationalization, and sustainability. In particular, the effective use of digital infrastructure, innovation ecosystems, and data-driven management practices contributes to enhanced operational efficiency and global competitiveness. In addition, the study highlights several key success factors of smart university transformation, such as the expansion of international research collaboration, the application of learning analytics, and the alignment of institutional strategies with global standards. The results emphasize the importance of integrated evaluation systems, including KPI frameworks and composite indices, in supporting evidence-based decision-making. This study offers both theoretical insights and practical implications for policymakers, university leaders, and stakeholders aiming to implement effective digital transformation strategies and promote sustainable development in higher education.