Artificial intelligence and HRM transformation: Towards a reconceptualization of HR system effectiveness
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Abstract
Research in strategic human resource management (HRM) has traditionally focused on content, namely the practices implemented within organizations. This perspective also dominates recent studies on artificial intelligence (AI), which has primarily examined the transformation of tasks and activities. However, an emerging approach emphasizes the importance of process, offering a more nuanced understanding of the structuring of HR systems and the signals they convey to employees. Building on this processual perspective, this article proposes a conceptual model demonstrating how the parameters of responsible AI — reliability, safety, and trust — shape the dimensions of HR processes — distinctiveness, consistency, and consensus — and, in tur, influence the signals perceived in terms of equity. The study thus contributes to the literature and puts forward recommendations to guide future research.
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