Please use this identifier to cite or link to this item: https://cris.library.msu.ac.zw//handle/11408/5491
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dc.contributor.authorAlouis Chilunjikaen_US
dc.contributor.authorKudakwashe Intaunoen_US
dc.contributor.authorSharon R. Chilunjikaen_US
dc.date.accessioned2023-03-29T06:45:43Z-
dc.date.available2023-03-29T06:45:43Z-
dc.date.issued2022-10-21-
dc.identifier.urihttps://cris.library.msu.ac.zw//handle/11408/5491-
dc.description.abstractOrientation: The Fourth Industrial Revolution has transformed modern society by ushering in the fusion of advances in robotics, the Internet of Things (IoT), genetic engineering, quantum computing, and artificial intelligence (AI) among others. AI brings a range of different technologies and applications to interact with environments that comprise both the relevant objects and the interaction rules and have the capacity to process information in a way that resembles intelligent behaviour. Similarly, artificial intelligence is also being used in the human resources management (HRM) processes and functions in the public sector to map sequences to actions. Research purpose: The study explores the opportunities, challenges, and future prospects of integrating Artificial Intelligence (AI) and Public Sector Human Resource Management (HRM) in South Africa’s public sector. Motivation for the study: The study was motivated by the need to examine the dynamics surrounding the adoption, implementation and operationalisation of the 4IR in the management of human resources in the SA public sector in this unfolding dispensation. Research Approach: Data was collected using the extensive review of written records such as books, journal articles, book chapters among others which were purposively selected for use in this study. Data was analysed using content and thematic analysis techniques. Research Findings: The study established that Artificial Intelligence is beneficial in the sense that it can improve public service delivery in South Africa as the HRM personnel is enabled to focus more on the strategic areas of management by taking over routine tasks, and that it helps minimize bias in public service recruitment and selection. In contrast, research on potential challenges has revealed that combining Artificial Intelligence and Public Sector Human Resource Management may pose a threat to white-collar jobs. Practical/ Managerial Implications: This study may lead to practical applications of AI to support the HR functions of public sector entities in SA. The public managers are better informed about the impediments, gaps and opportunities that may arise from using AI in managing human resources in SA’s public sector. Contributions: This study contributes to the body of knowledge as it unpacks and informs the dynamics associated with the implementation of AI in managing human resources in public sector entities.en_US
dc.language.isoenen_US
dc.publisherAOSISen_US
dc.relation.ispartofSA Journal of Human Resource Managementen_US
dc.subjectFourth Industrial Revolutionen_US
dc.subjectArtificial intelligenceen_US
dc.subjectPublic sectoren_US
dc.subjectHuman resource managementen_US
dc.subjectSouth Africaen_US
dc.titleArtificial intelligence and public sector human resource management in South Africa: Opportunities, challenges and prospectsen_US
dc.typejournal articleen_US
dc.identifier.doihttps://doi.org/10.4102/sajhrm.v20i0.1972-
dc.contributor.affiliationDepartment of Public Management, Governance and Public Policy, Faculty of Commerce, Business and Economics, University of Johannesburg, Johannesburg, South Africa; and, Department of Political and Administrative Studies, Faculty of Social Sciences, National University of Lesotho, Maseru, Lesothoen_US
dc.contributor.affiliationDepartment of Governance and Public Management, Faculty of Social Sciences, Midlands State University, Gweru, Zimbabween_US
dc.contributor.affiliationDepartment of Public Management, Governance and Public Policy, Faculty of Commerce, Business and Economics, University of Johannesburg, Johannesburg, South Africa; and, Department of Governance and Public Management, Faculty of Social Sciences, Midlands State University, Gweru, Zimbabween_US
dc.relation.issn2071-078Xen_US
dc.description.volume20en_US
dc.description.startpage1en_US
dc.description.endpage12en_US
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypejournal article-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.cerifentitytypePublications-
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