Browsing by Author "Kofi Sarpong Adu-Manu"

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    Africa’s Preparedness for AI-Driven HRM Practices: A Systematic Literature Review
    (International Journal of Academic Research in Business and Social Sciences, 2025-08-27) Joseph Jakisa Owor; Kofi Sarpong Adu-Manu; Mary Naula Owor
    Artificial Intelligence (AI) is transforming Human Resource Management (HRM) globally, reshaping recruitment, workforce analytics, and employee engagement. While the Global North has advanced rapidly, Africa’s adoption remains limited and uneven due to infrastructural gaps, weak regulatory frameworks, and low AI literacy. This study employs a systematic literature review (SLR) guided by PRISMA methodology to assess Africa’s readiness for AI-driven HRM across six dimensions: digital infrastructure, policy frameworks, organizational capacity, skills readiness, ethical and cultural alignment, and employee wellbeing. The findings highlight a dual reality. On one side, Africa struggles with poor broadband penetration, fragmented policies, and insufficient training among HR professionals. On the other, positive developments are emerging, including innovation hubs in Kenya and Rwanda, growing digital literacy in South Africa, and increasing university–industry partnerships. Comparative insights from the Global North and peers such as India reveal both shared challenges and valuable learning pathways. This review contributes to knowledge by moving beyond deficit-based perspectives. It underscores Africa’s unique opportunities to pursue Afrocentric, ethically grounded, and culturally sensitive strategies for AI integration in HRM. In doing so, it emphasizes context-specific approaches that can transform AI adoption into an inclusive and responsible driver of organizational change and human development.