The Use of Artificial Intelligence in Supporting Managerial Decision-Making: Perspectives of Management Information Systems Faculty Members in Saudi Universities

Abstract

This study examines Management Information Systems faculty perceptions of the effectiveness and adoption of artificial intelligence (AI) in supporting managerial decision-making in Saudi universities. Using a survey with a five-point Likert scale, the study explored two main areas: faculty views on AI effectiveness in enhancing decision-making and factors influencing AI adoption, including perceived benefits, implementation challenges, and demographic influences. Results show strong faculty support for AI integration, particularly when aligned with ethical standards, data security, and accountability mechanisms. Security and risk mitigation were top priorities, followed by monitoring, evaluation, and transparency measures. Faculty also recognized operational benefits, such as improved decision accuracy, efficiency, and strategic planning, while noting barriers including system compatibility, technical integration, and time requirements. Demographic factors, such as age, experience, and departmental affiliation, shaped perceptions of AI adoption. The findings highlight the need for clear policies, targeted training, technical support, and ongoing monitoring to ensure responsible and effective AI implementation. Limitations include the focus on a single faculty group and reliance on self-reported data, suggesting future research should expand the sample, employ qualitative methods, and explore longitudinal changes in perceptions.