Please use this identifier to cite or link to this item: https://cris.library.msu.ac.zw//handle/11408/5491
Title: Artificial intelligence and public sector human resource management in South Africa: Opportunities, challenges and prospects
Authors: Alouis Chilunjika
Kudakwashe Intauno
Sharon R. Chilunjika
Department 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, Lesotho
Department of Governance and Public Management, Faculty of Social Sciences, Midlands State University, Gweru, Zimbabwe
Department 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, Zimbabwe
Keywords: Fourth Industrial Revolution
Artificial intelligence
Public sector
Human resource management
South Africa
Issue Date: 21-Oct-2022
Publisher: AOSIS
Abstract: Orientation: 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.
URI: https://cris.library.msu.ac.zw//handle/11408/5491
Appears in Collections:Research Papers

Files in This Item:
File Description SizeFormat 
Artificial intelligence and public sector human resource management in South Africa.pdfAbstract100.94 kBAdobe PDFView/Open
Show full item record

Page view(s)

70
checked on May 3, 2024

Download(s)

36
checked on May 3, 2024

Google ScholarTM

Check

Altmetric


Items in MSUIR are protected by copyright, with all rights reserved, unless otherwise indicated.