INTEGRATION OF ARTIFICIAL INTELLIGENCE IN MANAGEMENT INFORMATION SYSTEMS TO ENHANCE DECISION-MAKING PROCESSES IN YEMENI UNIVERSITIES: A QUALITATIVE STUDY

Abstract

This study delves into the integration of Artificial Intelligence (AI) in Management Information System (MIS) in university and examines the pivotal role of MIS in enhancing decision-making processes. The transformative capabilities of AI are revolutionizing universities by making operations more efficient, precise, and data-driven. By leveraging the integration of AI, MIS can significantly improve decision-making processes within universities, enabling more accurate, timely, and objective outcomes. Using a qualitative approach, including semi-structured interviews, the study assesses the real-world applications of AI in automating tasks, improving data utilization, and personalizing experiences. The study underscores the various benefits of integrating AI within university systems, such as improved decision-making, administrative efficiency, and institutional responsiveness. Additionally, the study addresses the challenges associated with AI adoption in MIS, including technical, ethical, and organizational hurdles. It also explores the future prospects of AI in university MIS, suggesting that continuous advancements and strategic implementations of AI-enabled MIS can lead to superior organizational outcomes. The findings from this study indicate that the adoption of AI-enabled MIS holds substantial potential for enhancing university decision-making processes, ultimately contributing to better organizational performance and competitive advantage.