A data-driven analytical evaluation of ICT portal features and their influence on faculty user satisfaction in higher education
Dyna D., John Albert M., John Augustus D., Dinnes D., Crimary M., Jhyclyff J., Serafin P., Kristine S.
Applies predictive analytics to examine how ICT portal quality influences faculty user satisfaction, using the ISO/IEC 25010 framework. Regression identified reliability, performance efficiency, usability and security as significant predictors, with strong explanatory power.
International Journal of Computer Science and Mobile Computing, Vol. 15, Issue 5, pp. 64-71