An artificial intelligence-enabled decision support system for South African higher education institutions

Ethics number 200608029/2022/23

This PhD study aimed to develop a prototype artificial intelligence-enabled decision support system tailored for South African higher education institutions, recognising the growing significance of such systems in the dynamic landscape of universities. As universities evolve beyond traditional roles into data driven entities, decision-making has become increasingly complex, requiring real-time insights, connectivity and automation. To gain a comprehension of the problem at hand, a qualitative-quantitative method was combined, the researcher first conducted semi-structured interviews with selected participants and then developed the artefact and thereafter conducted the questionnaire. The questionnaire was adapted from Kao et al., (2016) and constructed with additional questions based on the GQM approach, encompassing a comprehensive set of key performance indicators