Human resource management is undergoing a profound transformation driven by artificial intelligence, data-driven decision-making, environmental sustainability, and a growing emphasis on employee well-being. Organizations are increasingly expected to balance operational efficiency with workforce resilience, ethical responsibility, and sustainable value 
creation. This study proposes a multidimensional framework that integrates Artificial Intelligence (AI), Human Resource Analytics (HR Analytics), Green Human Resource Management (Green HRM), and Employee Well-Being into a unified strategic HRM model. The proposed framework explains how intelligent automation, predictive analytics, sustainable HR practices, and employee-centric interventions collectively enhance organizational performance, innovation capability, workforce adaptability, and long-term competitiveness. The paper also conceptualizes the dynamic interrelationships among these four dimensions and highlights their combined influence on talent acquisition, employee engagement, learning and development, performance management, organizational sustainability, and strategic decision-making. By offering an integrated theoretical perspective, the study contributes to the evolving literature on digital and sustainable HRM while providing a comprehensive foundation for future empirical validation. The proposed model serves as a strategic roadmap for organizations seeking to develop resilient, technology-enabled, environmentally responsible, and human-centric workplaces capable of addressing emerging business  challenges in the era of intelligent transformation.