A Framework of Business Intelligence Systems Effect on Decision-Making Quality in Higher Education Institutions

Abstract

The rapid change in the universities environment has increased the need for business intelligence systems (BIS) to leverage the data generated by the educational process. BI tools facilitate decision-making by processing information and converting it into meaningful knowledge. However, the effect of these systems on the decision-making quality, especially in the education sector, has not been verified. This study aims to develop a theoretical model to explore factors of BI that affect decision-making quality in higher education institutions in Yemen. Five independent variables were proposed: data quality, BI scope, BI users, BI management, and BI capabilities. BI capabilities were included as a new variable Based on stakeholder interviews. Data were collected using a survey of 128 decision-makers in some Yemeni universities and analyzed using regression analysis. The results showed that BISs have a significant positive effect on the decision-making quality in higher education institutions at (R² = .513), supporting all hypotheses. Also, the results indicated that using BIS in educational institutions in Yemen is still in its early stages. Moreover, BI management had the highest positive effect, followed by BI scope, data quality, BI users, and BI capabilities, which confirms a positive relationship between BI aspects and decision-making quality in higher education.