AI-Driven Decision Support System Innovations to Empower Higher Education Administration




Decision Support Systems, Higher Education Administration, Data-Driven Decision-Making, Institutional Efficiency, Ethical Considerations


This study explores the utilization, perceptions, and impacts of Decision Support Systems (DSS) in higher education administration. With a focus on DSS, a cross-sectional survey was conducted among higher education administrators from various institutions. The findings underscore the essential role of DSS in higher education administration, with administrators reporting significant utilization and praising their effectiveness and user-friendliness. The study reveals the positive influence of DSS on strategic planning, enrollment management, resource allocation, and student success initiatives. Moreover, it demonstrates the association between DSS usage and favorable outcomes, including increased efficiency and perceived positive consequences. However, persistent challenges such as data quality issues, privacy concerns, and resistance to change highlight the need for improved data management strategies, ethical considerations, and change management approaches. These findings contribute to the ongoing discourse on the transformative potential of DSS in higher education administration and provide valuable insights for businesses seeking to enhance decision-making, resource allocation, and data-driven initiatives. The innovative integration of AI in DSS for higher education administration represents a paradigm shift in decision-making processes, offering unprecedented opportunities for improvement and innovation.



How to Cite

J. Zhang and S. B. Goyal, “AI-Driven Decision Support System Innovations to Empower Higher Education Administration”, J. Comput. Mech. Manag, vol. 3, no. 1, Feb. 2024.



Original Articles