Transformative Impact of Green HRM on Employee Performance Through Artificial Intelligence Integration

Abstract

The integration of Artificial Intelligence (AI) with Green Human Resource Management (GHRM) represents a paradigm shift from administrative HR functions to a strategic driver of sustainability and performance. This research examines how AI technologies transform GHRM practices into powerful catalysts for enhancing employee performance while advancing environmental goals. Findings from comprehensive research, including a multi-sector study in the UAE higher education sector (n=250), demonstrate that AI optimizes three core GHRM functions: Intelligent Talent Management Machine learning algorithms screen for sustainability competencies during recruitment, while predictive analytics identifies retention risks among green talent, reducing turnover by 30% Personalized Eco-Training: Adaptive learning platforms and AI simulations accelerate mastery of environmental protocols by 45%, with VR environments enabling risk-free practice of sustainability scenarios. Bias-Mitigated Performance Systems sensors track real-time resource consumption, while NLP algorithms objectively evaluate green contributions, reducing departmental energy use by 30%. These AI-enabled mechanisms enhance performance through interconnected pathways: Task Efficiency: Real-time eco-feedback dashboards boost green behaviors by 27% (evidenced in banking sector studies) Engagement: Visualization of individual environmental impact increased perceived work meaningfulness by 23.7% (UAE study, n=250) Skill Development: Competency gap analysis enables targeted sustainability up skilling with 40% faster implementation Critical moderators include algorithmic transparency, ethical AI governance, and leadership commitment. Despite implementation challenges (privacy concerns, techno stress), the AI-GHRM synergy delivers measurable gains: 32% stronger organizational commitment, 30% higher retention of sustainability talent, and accelerated eco-innovation.

This integration fosters workforces that are both environmentally accountable and high-performing. Future success requires hybrid human-AI decision systems, robust ethical frameworks, and continuous adaptation of green-technological practices. The study confirms AI’s role as a force multiplier in GHRM, transforming sustainability from compliance to competitive advantage.