DIGITAL SKILLS READINESS FOR ARTIFICIAL INTELLIGENCE ADOPTION IN HUMAN RESOURCE MANAGEMENT AMONG MANAGERS IN LOCAL GOVERNMENT AUTHORITIES IN TANZANIA
Abstract
Purpose of the Study: This study explored the readiness for digital skills in Artificial Intelligence (AI) adoption in Human Resource Management among managers in Local Government Authorities in Tanzania.
Statement of the Problem: Despite increasing adoption of digital technologies in the public sector, limited empirical evidence exists on managers’ readiness to integrate AI into Human Resource functions, particularly in developing country contexts.
Methodology: The study adopted a qualitative case study design guided by an interpretivist approach. Managers were purposively selected from functional areas including human resource management, administration, finance, planning, and information and communication technology. Data were collected through in-depth interviews, with sample size determined by data saturation.
Findings: Most managers possess basic digital literacy and experience with electronic HR systems. However, gaps exist in advanced competencies such as data analytics, AI-supported decision-making, and the ethical management of digital systems. Organizational factors such as training, leadership support, and digital infrastructure significantly influenced readiness.
Conclusion: The study concludes that although foundational digital skills exist, significant gaps remain in advanced competencies required for effective AI adoption.
Recommendation: The study recommends targeted capacity building, the integration of AI competencies into managerial development frameworks, the strengthening of organizational support systems, and the establishment of clear ethical and governance guidelines to support sustainable AI adoption in public-sector HRM.
Keywords: Digital skills, Artificial Intelligence, Human Resource Management managers, Local Government Authorities, Tanzania
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