Artificial Intelligence Driven Talent Acquisition and Green Organizational Policies: Restructuring Recruitment Mechanisms for Financial Permanence and Environmental Sustainability

Abstract

The strategic integration of artificial intelligence (AI) in talent acquisition with green organizational policies presents a transformative pathway for achieving dual financial and environmental objectives. Yet, empirical evidence on their synergistic impact remains fragmented. Employing a sequential explanatory mixed-methods design, this study analyzed survey data from 412 human resource and sustainability executives across technology, manufacturing, and professional services sectors in Malaysia, the United Kingdom, and Pakistan, supplemented by 28 semi-structured interviews. Structural equation modeling and bias-corrected bootstrapping tested hypothesized pathways linking AI-driven recruitment, green policy alignment, financial permanence, and environmental sustainability. Results demonstrate that AI-mediated talent acquisition significantly enhances financial permanence (β = .34, p < .001) and environmental sustainability (β = .29, p < .001), with green organizational policies serving as a robust mediating mechanism (indirect effects = .14 and .19, respectively, p < .01). The interaction between AI adoption and green policies further amplified dual-value outcomes (β = .22–.31, p < .01). Qualitative insights revealed that algorithmic calibration for ecological competencies, cross-functional HR-IT-sustainability alignment, and ethical governance protocols are critical enablers of this synergy. These findings establish AI-driven recruitment as a strategic lever for sustainable organizational transformation, offering evidence-based frameworks for restructuring talent acquisition mechanisms that simultaneously secure financial resilience and ecological stewardship in an increasingly sustainability-constrained global economy.