HIGHER EDUCATION AND LEADERSHIP: APPLICATION OF A MATHEMATICAL MODEL TO EVALUATE MANAGEMENT COMPETENCIES AND INSTITUTIONAL EFFICIENCY

Abstract

Higher education faces the challenge of training leaders capable of managing institutions efficiently in highly competitive contexts. This article proposes the application of a mathematical model based on confirmatory factor analysis and multiple regression models to evaluate managerial competencies and their relationship with institutional efficiency. From a sample of Latin American universities, the key leadership factors that influence strategic decision-making, educational innovation, and institutional satisfaction are identified. The results show that the integration of mathematical models allows quantifying managerial competencies and establishing predictions about institutional efficiency, providing a useful tool for university management in the 21st century.