Artificial Intelligence in Strategic Human Resource Management: An Integrative Review, Value Alignment Framework, And Systematic Research Agenda

Abstract

Artificial intelligence (AI) is changing strategic human resource management (SHRM) by expanding the capacity of organizations to recruit, allocate, evaluate, develop, and retain employees through data-intensive and algorithm-supported processes. Yet the organizational value of AI-enabled HRM cannot be assessed solely through speed, cost reduction, or predictive accuracy. Algorithmic opacity, biased data, intrusive monitoring, weakened employee autonomy, and declining trust may undermine the very human capabilities that organizations seek to develop. This article provides an integrative review of research on AI-enabled and algorithmic HRM, connecting technology capability, strategic human resource processes, employee experience, and governance. Drawing on recent review studies and foundational work on algorithmic management, the article synthesizes the literature into a Human-Centered AI-HRM Value Alignment Framework. The framework proposes that sustainable outcomes depend on the alignment of five mutually reinforcing dimensions: AI capability, strategic HR architecture, human agency, responsible governance, and organizational outcomes. It explains how AI can create value through augmentation and decision support, while governance mechanisms—transparency, accountability, data protection, fairness auditing, employee participation, and meaningful human oversight—condition the relationship between AI deployment and outcomes. The review identifies research opportunities concerning longitudinal effects, contextual differences, employee voice, managerial accountability, and the distribution of AI-generated value. The article contributes an integrative framework and a research agenda for organizations seeking to deploy AI in ways that are strategically effective, ethically defensible, and supportive of sustainable employee and organizational performance.