人工智能与南非公共部门人力资源管理:机遇、挑战和前景

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2022-10-21 DOI:10.4102/sajhrm.v20i0.1972
A. Chilunjika, Kudakwashe Intauno, S. Chilunjika
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引用次数: 2

摘要

定位:第四次工业革命将机器人技术、物联网(IoT)、基因工程、量子计算、人工智能(AI)等先进技术融合在一起,改变了现代社会。人工智能带来了一系列不同的技术和应用程序,与包括相关对象和交互规则的环境进行交互,并具有以类似智能行为的方式处理信息的能力。同样,人工智能也被用于公共部门的人力资源管理(HRM)流程和职能,以将序列映射到行动。研究目的:本研究探讨了南非公共部门整合人工智能(AI)和公共部门人力资源管理(HRM)的机遇、挑战和未来前景。研究动机:这项研究的动机是需要研究在这个发展中的分配中,在南南非公共部门人力资源管理中采用、实施和运作第四次工业革命的动态。研究方法:数据的收集使用广泛的书面记录,如书籍,期刊文章,书籍章节等,有目的地选择在本研究中使用。使用内容和主题分析技术分析数据。研究发现:该研究表明,人工智能在某种意义上是有益的,因为它可以改善南非的公共服务提供,因为人力资源管理人员可以通过接管日常任务更多地关注管理的战略领域,并且它有助于减少公共服务招聘和选择中的偏见。相比之下,对潜在挑战的研究表明,将人工智能与公共部门人力资源管理相结合可能会对白领工作构成威胁。实际/管理意义:本研究可能导致人工智能的实际应用,以支持南南非公共部门实体的人力资源职能。公共管理人员可以更好地了解在南非公共部门管理人力资源时使用人工智能可能产生的障碍、差距和机会。贡献:本研究为知识体系做出了贡献,因为它揭示了与人工智能在公共部门实体人力资源管理中的实施相关的动态。
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Artificial intelligence and public sector human resource management in South Africa: Opportunities, challenges and prospects
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.
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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