发表机构
Walter Sisulu University（沃尔特·西苏鲁大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文探讨AI驱动的反馈系统如何通过持续倾听和预测分析识别非洲职场中的静默离职现象，并提出应对数字不平等和算法偏见等挑战的负责任转型建议。
AI 中文摘要
当前数字化趋势已彻底改变了全球工作的组织方式及其衡量和执行方式，AI在管理劳动和绩效以及员工沟通方面变得越来越普遍。在非洲组织中，远程工作、混合工作模式、数字协作和基于数据的人力资源管理日益普及，静默离职的概念变得更加相关，其定义为：员工仍在履行工作职责，但不投入任何努力去实现良好绩效或展现任何情感的工作脱离状态。本文研究了AI驱动的反馈机制，包括情感分析系统、脉冲调查、聊天机器人、敬业度仪表板和预测分析，如何通过提供持续倾听、即时绩效信息和主动员工互动来改变非洲职场。研究还探讨了AI如何帮助组织识别早期的工作脱离迹象，并在非洲的私营和公共部门组织中实现干预和更好的员工沟通。同时，我们探讨了AI在发展中国家实施所带来的社会经济发展和治理挑战，包括数字不平等、基础设施不足、隐私问题、算法偏见以及职场监控的风险。通过将静默离职置于更广泛的数字劳动和自动化讨论中，本文为关于工作未来的讨论贡献了以非洲为中心的视角，并为人力资源专业人士、管理者、政策制定者和技术开发者提供了实用建议，以寻求在非洲大陆负责任且注重情境的职场转型方法。
英文摘要
The current trend of digitalisation has revolutionised the organisation of work and the way it is measured and performed across the globe, with AI becoming more common for managing labour and performance, as well as employee communication. In African organisations, where there is increasing adoption of remote work, hybrid models of work, digital collaboration, and data-based HR management, the notion of silent quitting has become more relevant, defined as worker disengagement when employees are still doing their job but do not put any effort into achieving good performance and exhibiting any emotion. This paper investigates how AI-driven feedback mechanisms, including sentiment analysis systems, pulse surveys, chatbots, engagement dashboards, and predictive analytics, are changing African workplaces through offering continuous listening, instant performance information and proactive engagement with employees. The study also explores how AI can assist organisations in identifying early disengagement and enable intervention and better employee communication in both private and public sector organisations in Africa. At the same time, we address the challenges of socioeconomic development and governance posed by AI implementation in developing countries, including digital inequality, infrastructure shortcomings, privacy concerns, algorithmic bias, and the risk of workplace surveillance. By situating silent quitting within wider debates on digital labour and automation, the paper contributes an African-centred perspective to discussions on the future of work and offers practical recommendations for HR professionals, managers, policymakers, and technology developers seeking responsible, context-sensitive approaches to workplace transformation across the continent.
Comments34 pages
