This study investigates how artificial intelligence (AI) shapes employee work, emphasizing both the opportunities it creates and the challenges it introduces in modern organizations.
Methodology
A systematic literature review (SLR) using the SPAR-4-SLR protocol and bibliometric analysis, complemented by content analysis of highly cited studies. The Antecedents–Decisions–Outcomes (ADO) framework was applied to provide a structured understanding of AI adoption and its effects on employees.
Findings
AI can strengthen employee autonomy, skill development, collaboration, and organizational outcomes when supported by trust, leadership, and human-centered practices. At the same time, AI may also contribute to technostress, job insecurity, and role ambiguity.
Originality/Contribution
This study integrates the Technology Acceptance Model and the Job Demands–Resources theory into AI-related HR research while also introducing the concepts of AI maturity and employee resilience. By combining bibliometric, SLR, and ADO approaches, it provides a unique, holistic perspective on AI and workforce dynamics, addressing gaps in prior isolated studies.
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