Please use this identifier to cite or link to this item: https://hdl.handle.net/10321/5721
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dc.contributor.authorMuzuva, Meshelen_US
dc.contributor.authorZhou, Helperen_US
dc.contributor.authorZondo, Robert Walter Dumisanien_US
dc.date.accessioned2024-12-18T16:09:14Z-
dc.date.available2024-12-18T16:09:14Z-
dc.date.issued2024-
dc.identifier.citationMuzuva, M., Zhou, H. and Zondo, R.W.D. 2024 Has generative AI become of age. International Journal of Research in Business and Social Science, 13(7): 527-537. doi:10.20525/ijrbs.v13i7.3576en_US
dc.identifier.issn2147-4478 (Online)-
dc.identifier.urihttps://hdl.handle.net/10321/5721-
dc.description.abstractSmall and Medium Enterprises (SMEs) in South Africa previously faced challenges due to limited resources, restricted access to technology, and the need to constantly adapt to a dynamic business environment. The introduction of Generative Artificial Intelligence (AI) emerged as a potential solution to these issues, promising to enhance operational efficiency and strategic decision-making. As a representative of developing economies, South Africa experienced a growing interest in AI technologies. This study was conducted to explore the impact of generative AI on SME productivity in South Africa, an area which had been underexplored. Employing a qualitative methodology, the study evaluated the current state and implications of generative AI in South African SMEs. It involved in-depth interviews to gather perceptions, experiences, challenges, and benefits from SME owners and managers regarding the adoption of generative AI technologies. The findings analysed via R Statistical Software revealed significant insights into the specific areas where generative AI substantially impacted SME productivity. It also identified the challenges and opportunities associated with the adoption of generative AI by SMEs, as well as the potential long-term implications. Key findings included notable improvements in data-driven decision-making, operational efficiencies, and market expansion strategies. However, the study also highlighted barriers such as the lack of technical expertise, initial setup costs, and concerns over data security. Overall, the impact of generative AI on SMEs in South Africa was found to be predominantly positive, paving the way for further technological advancements and adoption in the sector.en_US
dc.format.extent11 pen_US
dc.language.isoenen_US
dc.publisherCenter for Strategic Studies in Business and Finance SSBFNETen_US
dc.relation.ispartofInternational Journal of Research in Business and Social Science; Vol. 13, Issue 7en_US
dc.subjectGenerative Artificial Intelligenceen_US
dc.subjectOperational efficiencyen_US
dc.subjectSME productivity;en_US
dc.subjectTechnological adoptionen_US
dc.subjectQualitative methodologyen_US
dc.titleHas generative AI become of ageen_US
dc.typeArticleen_US
dc.date.updated2024-12-18T13:24:36Z-
dc.publisher.urihttps://doi.org/10.20525/ijrbs.v13i7.3576en_US
dc.identifier.doi10.20525/ijrbs.v13i7.3576-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.languageiso639-1en-
Appears in Collections:Research Publications (Management Sciences)
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