A MULTI-CRITERIA DECISION SUPPORT MODEL TO ASSESS THE INTEGRATION OF ARTIFICIAL INTELLIGENCE INTO BUSINESS AND ADMINISTRATION CURRICULA

The growing diffusion of Artificial Intelligence (AI) has driven the inclusion of AI content in university curricula, including in non-STEM (Science, Technology, Engineering and Mathematics) careers, such as business and administration. However, robust analytical approaches to benchmarking the degree of incorporation of AI-related content in higher education remain limited. This study presents a methodology based on Multicriteria Decision Analysis (MCDA) to classify universities based on the level of incorporation of AI content in business and management courses. The evaluation covers four criteria: core AI content, AI ethics, curriculum and technological support, as well as tools, applications, and prerequisites. The results reveal heterogeneity among universities and contribute directly to the debate on curricular innovation and curriculum analytics, by offering an analytical tool for benchmarking, curriculum review and strategic planning in higher education.