STRATEGIC RESKILLING AND UPSKILLING OF THE IT WORKFORCE IN THE AI ERA: A SYSTEMATIC REVIEW OF ORGANISATIONAL PRACTICES AND OUTCOMES
DOI:
https://doi.org/10.69980/q4zrsn46Keywords:
Artificial Intelligence, Reskilling, Upskilling, Workforce Transformation, Human Resource ManagementAbstract
Purpose: This study aims to systematically review and synthesise existing literature on AI-driven reskilling and upskilling of the IT workforce, focusing on organisational practices, theoretical foundations, and performance outcomes.
Methodology: A systematic literature review (SLR) was conducted using PRISMA guidelines, with studies sourced from Scopus, Web of Science, and Google Scholar between 2015 and 2025. A total of 25 relevant studies were selected and analysed using an inductive content analysis approach, supported by the Ability–Motivation–Opportunity (AMO) framework.
Findings: The results indicate that reskilling and upskilling have evolved into strategic organisational capabilities driven by AI adoption. Key findings highlight the importance of AI-enabled HR practices, continuous learning systems, and organisational support in enhancing workforce competence and performance. The study identifies five major themes, including HR strategy alignment, learning frameworks, technology-mediated learning, performance outcomes, and implementation challenges.
Theoretical Implications: The study contributes by developing an integrated AMO-based framework, supported by Human Capital Theory, Dynamic Capability Theory, and Organisational Learning Theory.
Practical Implications: The findings provide actionable insights for HR leaders, organisations, and policymakers to design effective workforce development strategies in the AI era.
Originality: This study offers a structured synthesis of fragmented literature and proposes a unified framework linking AI strategy, workforce competence, and organisational performance.
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