Digital Transformation in Higher Education: An Empirical Study of AI-Integrated ERP Systems in Enhancing Decision-Making and Institutional Efficiency
TL;DR
Assessment of the effectiveness of AI-based ERP systems in boosting institutional efficiency and decision-making processes in institutions of higher learning suggests that AI-based ERP systems can play a major role in enhancing decision-making with real-time access to data, predictive analytics, and administrative process automation.
Abstract
The high adoption of digital technologies has greatly influenced the higher education environment and the integration and smart systems are essential in improving the institutional performances. One of them, the use of AI integrated ERP systems has become an essential instrument that enhances the efficiency of administration, the efficiency of making decisions based on data, and overall institutional success. The current research will focus on assessing the effectiveness of AI-based ERP systems in boosting institutional efficiency and decision-making processes in institutions of higher learning. Research methodology is empirical in which it gathers primary data comprising of academic administrators, faculty members and IT personnel related to institutions of higher education. Perceptions related to such critical dimensions as AI capability, system integration, data analytics functionality, and user adoption were captured with the help of structured questionnaires. The analysis used statistical methods, i.e., descriptive analysis and inferential methods, to investigate the association between the AI-supported ERP functionality and institutional outcomes. The results of the findings suggest that AI-based ERP systems can play a major role in enhancing decision-making with real-time access to data, predictive analytics, and administrative process automation. Moreover, the findings also emphasise the positive effect on the institutional efficiency regarding optimization of resources, speed of work, and precision of information management. The obstacles to user preparedness, data security, and system flexibility are also found in the study. The analysis is informative to policy makers, institutional leaders and technology suppliers in developing and deploying effective AI used ERP solutions in institutions of higher education. The study will add to the overall amount of research on the topic of digital transformation by providing empirical data regarding the strategic importance of AI-integrated ERP systems in improving institutional performance.