Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/10285
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dc.contributor.authorFunda, Vusumzien_US
dc.contributor.authorFrancke, Errolen_US
dc.date.accessioned2025-11-05T08:41:52Z-
dc.date.available2025-11-05T08:41:52Z-
dc.date.issued2024-
dc.identifier.citationFunda, V. & Francke, E. 2024. Artificial intelligence-powered decision support system for operational decision-making in the ICT department of a selected African university. African Journal of Science, Technology, Innovation and Development, 16(5): 689-701. [https://doi.org/10.1080/20421338.2024.2376916]en_US
dc.identifier.issn2042-1338-
dc.identifier.issn2042-1346 (Online)-
dc.identifier.urihttp://hdl.handle.net/11189/10285-
dc.description.abstractThis paper aims to explore the effect of an artificial intelligence-enabled decision support system (AIDSS) on decision-making processes within a university setting, focusing on the ICT department of a selected South African university. The research objectives revolve around the effectiveness of AIDSS in enhancing decision-making in higher education institutions. Convenience sampling was employed in this study and a questionnaire administered to 28 participants. These methods were chosen to gather insights into the practical application of AI technology in the context of IT operational decision-making. The major findings of this research reveal that AIDSS has the potential to significantly improve decision-making processes in higher education. Despite these advancements, the research acknowledges the ethical and societal implications arising from AI integration, underscoring the importance of achieving a balance between technical advancement and the upholding of human values. As a major policy implication, this study underscores the importance of embracing AI technologies in higher education institutions to enhance decision-making processes, thus improving the efficiency and effectiveness of IT operations. The original contribution of this research lies in its exploration of the practical use of AIDSS in South African higher education, offering insights into how AI can be harnessed to advance decision-making.en_US
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.relation.ispartofAfrican Journal of Science, Technology, Innovation and Developmenten_US
dc.subjectArtificial intelligenceen_US
dc.subjectHigher educationen_US
dc.subjectDecision-makingen_US
dc.subjectIT operationsen_US
dc.subjectData-driven decisionsen_US
dc.subjectSouth African universityen_US
dc.titleArtificial intelligence-powered decision support system for operational decision-making in the ICT department of a selected African universityen_US
dc.identifier.doihttps://doi.org/10.1080/20421338.2024.2376916-
dc.typeArticleen_US
Appears in Collections:IT - Journal Articles (DHET subsidised)
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