Artificial Intelligence–Enabled Green Human Resource Management as a Strategic Architecture for Integrated Environmental Sustainability, Organizational Well-Being, and Socio-Ecological Transformation in Contemporary Organizations

The rapid diffusion of artificial intelligence (AI) technologies across organizational systems has fundamentally reshaped managerial processes, decision-making structures, and human resource architectures.However, despite the growing strategic importance of sustainability-oriented management models, the conceptual integration between artificial intelligence and Green Human Resource Management (GHRM) remains theoretically underdeveloped and empirically underexplored.This study advances a comprehensive conceptual framework that positions AI not merely as a digital tool, but as a structural enabler of environmentally responsible governance, green workforce transformation, and integrated sustainability performance within organizations.The article critically examines how AI-driven systems can enhance core GHRM functionsincluding green recruitment and selection, eco-oriented performance management, sustainability-based training and development, green employee engagement, and environmentally responsible organizational culture formation.It argues that AI facilitates the transition of GHRM from a fragmented operational practice into a strategically embedded sustainability architecture aligned with organizational vision, environmental ethics, and long-term ecological responsibility.Furthermore, the study conceptualizes AI-enabled GHRM as a multidimensional mechanism that simultaneously strengthens environmental performance, employee psychological well-being, work-life balance, green job satisfaction, and pro-environmental identity formation.By integrating insights from positive organizational scholarship, sustainability science, and digital transformation theory, the paper demonstrates how AI can foster employees' psychological connectedness to nature, reinforce shared environmental values, and institutionalize sustainable behavioral norms within organizations.The proposed model reframes GHRM as a dynamic socio-technical system in which artificial intelligence functions as a catalyst for ecological consciousness, organizational resilience, and sustainable value creation.The study contributes theoretically by advancing an integrative sustainability governance perspective and practically by offering a strategic roadmap for organizations seeking to align digital transformation with environmental responsibility and human-centered sustainability objectives.