Keywords:
university
accountable
policymakers
bibliometrics
bibliographic coupling
co-word analysis

  • Abstract

    This study aims to explore and map the knowledge structure and research trends on the application of Artificial Intelligence (AI) for good governance in universities using a bibliometric analysis approach. A total of 373 scientific articles published between 2010 and 2025 were retrieved from the Web of Science database and analyzed through bibliographic coupling and co-word analysis techniques. This research focuses on key topics such as digital governance, corporate finance and social responsibility, corporate governance, and the application of machine learning for financial distress and bankruptcy prediction. The analysis highlights how AI is increasingly seen as a tool to enhance transparency, accountability, financial management, and institutional resilience within higher education institutions. Moreover, AI applications in data analytics, decision-making, and performance monitoring are shown to provide universities with actionable insights that can improve governance processes and optimize resource allocation. Additionally, the integration of AI into strategic planning and decision-making supports informed leadership and effective policy formulation, fostering better institutional performance. However, the study also identifies critical challenges, including ethical concerns, data privacy issues, and the digital divide, which could hinder the effective implementation of AI technologies in university governance. These concerns emphasize the need for a well-regulated framework to ensure that AI is deployed responsibly, ensuring inclusivity and equity in its use. The findings provide valuable insights for policymakers, university leaders, and researchers in formulating strategic, data-driven governance solutions that can address current challenges while advancing institutional goals in the digital era. This research contributes to the growing body of knowledge on the intersection of AI, governance, and higher education, offering a foundation for future investigations.

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Chairuddin, A., Jayadi, K., Wahira, & Suarlin. (2025). Artificial intelligence for good governance in universities: Science mapping of present and future trends. Multidisciplinary Reviews, 9(5), 2026230. https://doi.org/10.31893/multirev.2026230
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