Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/10208
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dc.contributor.authorMolopa, Selemaen_US
dc.contributor.authorCronjé, Johannes C.en_US
dc.date.accessioned2025-10-23T11:55:35Z-
dc.date.available2025-10-23T11:55:35Z-
dc.date.issued2024-
dc.identifier.citationMolopa, S. & Cronjé, J.C. 2024. Artificial intelligence-based literature review adaptation. South African Journal of Libraries and Information Science, 90(2): 1-18. [https://doi.org/10.7553/90-1-2390]en_US
dc.identifier.issn0256-8861-
dc.identifier.issn2304-8263 (Online)-
dc.identifier.urihttp://hdl.handle.net/11189/10208-
dc.description.abstractArtificial intelligence (AI) has emerged as a promising tool for enhancing the efficiency and precision of the literature review process, a cornerstone of academic research. This study aims to explore the potentialities and limitations of AI in augmenting academic research methodologies with a critical eye towards both the facilitation and the fidelity of academic rigour. This investigation not only catalogues existing AI tools tailored for literature reviews, but also critically evaluates their application, setting a precedent for a nuanced discourse on the symbiosis between AI and traditional research methodologies. This exploration is poised to contribute to the evolving dialogue on AI's role in research, situating itself at the nexus of methodological innovation and scholarly integrity.en_US
dc.language.isoenen_US
dc.publisherLibrary and Information Association of South Africa (LIASA)en_US
dc.relation.ispartofSouth African Journal of Libraries and Information Scienceen_US
dc.subjectArtificial intelligenceen_US
dc.subjectAI integration in researchen_US
dc.subjectAI tools for literature reviewen_US
dc.subjectResearch methodologiesen_US
dc.titleArtificial intelligence-based literature review adaptationen_US
dc.identifier.doihttps://doi.org/10.7553/90-1-2390-
dc.typeArticleen_US
Appears in Collections:Edu - Journal Articles (DHET subsidised)
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