Paper Details

Name: Gunjeet Kaur
Country: India

Year: 2026
Volume: Vol-13, Issue-2, Year-2026 ( July- December)
Page Number: 211-220
DOI: https://doi.org/10.5281/zenodo.23390606

Generative Artificial Intelligence (GenAI) is creating new possibilities for Human Resource Management (HRM), particularly in the strategic management of organizational talent. Its capabilities in content generation, information processing and intelligent assistance can support various talent management activities, including recruitment and selection, employee learning and development, performance management, succession planning and employee retention. Although existing research has examined the use of artificial intelligence in recruitment and HR analytics, the application of GenAI across the complete talent management lifecycle remains insufficiently integrated into a comprehensive conceptual perspective. This paper addresses this gap by proposing an integrated framework for responsible GenAI adoption based on the Technology Acceptance Model (TAM), Resource-Based View (RBV), Dynamic Capabilities Theory and Sociotechnical Systems Theory. The framework explains how technology acceptance, organizational resources, adaptive capabilities and human–technology alignment can facilitate effective GenAI implementation. It also highlights major concerns associated with adoption, including algorithmic bias, employee data protection, transparency, trust, accountability and regulatory compliance. Using a descriptive conceptual approach based on secondary sources, the paper examines the potential contribution of GenAI to talent management effectiveness, employee development, organizational agility and innovation. The study further presents managerial recommendations and identifies opportunities for future empirical investigation. The proposed framework contributes to the theoretical understanding of responsible AI integration and offers practical guidance for organizations seeking to develop ethical, adaptable and sustainable talent management practices

Keywords: Generative Artificial Intelligence, Talent Management, Human Resource Management, Strategic Human Resource Management, Organizational Agility, Employee Development, Digital Transformation.