A Systematic Literature Review of Artificial Intelligence Advancements in Green Human Resource Management

Abstract

In response to the growing need for environmental stewardship, Green Human Resource Management (GHRM) has emerged to incorporate sustainability in organizational practices, with Artificial Intelligence (AI) offering transformative potential. However, a comprehensive synthesis of the intersection between AI and GHRM is notably absent, prompting this review to systematically map the existing knowledge base and identify key trends. To bride this research gap, a systematic literature review was undertaken following the PRISMA framework, employing content and bibliometric analysis on 53 relevant articles published between 2018 and 2025. The analysis revealed five primary research themes, highlighting AI’s significant role in enhancing green recruitment, training, and performance management, while also underscoring critical challenges related to ethical considerations and organizational readiness. This review offers a structured synthesis of the AI-GHRM landscape, concluding with key interpretations that guide future research toward areas including adaptive systems, big data analytics, and the development of robust ethical frameworks, thereby serving as a valuable resource for advancing sustainable HRM practices. Moreover, this study directly contributes to the United Nations Sustainable Development Goals (SDGs), particularly SDG 8 (Decent Work and Economic Growth), SDG 9 (Industry, Innovation and Infrastructure), and SDG 12 (Responsible Consumption and Production), through emphasizing the strategic significance of AI-enabled Green HRM in fostering organizational sustainability.