The interest in artificial intelligence (AI) has been burgeoning in the past few years. Among the different functions of human resource management, staffing is considered the most proactive in adopting AI. However, the usage of AI in staffing and our understanding of AI and its potential impacts are limited. This study aims to introduce AI, review what is known regarding its applications in AI and propose ways to prepare for it. Through a systematic literature review and content analysis to synthesize the literature, our review suggests a path model of AI adoption, its antecedents and outcomes. We also summarize emerging trends in the staffing industry and practices and offer a framework to harness AI potential. While other reviews on AI have been made, our study goes further by providing a path model and a systematic framework that connects organizational staffing practices with the staffing industry contexts and specificities of AI. It also discusses various essential issues in the future of AI-driven staffing.
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