Reframing Talent Management in the Digital Era: A Systematic Review on its Role in Facilitating Knowledge Sharing and AI Adoption in Emerging Tech Startups

Abstract

As digital transformation happens quickly, the link between talent management and technical innovation has become a key area for businesses to focus on for success.  This study looks at the existing literature in a methodical way to see how talent management techniques help AI adoption through the sharing of knowledge, especially in the case of new tech firms.  The review combines results from peer-reviewed journal publications that were out between 2019 and 2024. It uses well-known academic databases including Scopus, Web of Science, and EBSCOhost.  It looks at five important aspects of talent management: attracting and choosing talent, developing talent, empowering talent, keeping talent, and career succession. It then looks at how these aspects affect how people and organizations share knowledge that helps AI integration.  The results show that sharing knowledge is a key link between human capital practices and technology readiness and innovation capabilities.  But there are still gaps in putting these changes in the context of the social, cultural, and economic situations of growing economies like Saudi Arabia.  This review makes theoretical contributions by bringing together the fields of human resource development and digital capabilities. It also gives tech-based firms looking for long-term AI-driven change through strategic talent investments useful information.