DOI: https://doie.org/10.10399/APER.2025143080
Authors:Subrata Kumar Saha, Dr. Jnui Deb Mallick Datta, Prof Manas Kumar Sanyal
Adaptive Talent Management, Upskilling Initiatives, Employee Engagement, Job Demands–Resources Model, Workforce Development, Predictive Skill Gap Analysis, Employee Motivation
This paper offers a comprehensive framework for Adaptive Talent Management (ATM) that integrates Human Capital Theory (HCT), Self-Determination Theory (SDT), and the Job Demands-Resources (JD-R) Model to address the evolving requirements of workforce development in dynamic corporate environments. The paper does not provide empirical data; instead, it theorises how ATM may foster innovation, enhance employee engagement, and ensure long-term organisational resilience by integrating theoretical perspectives with prior investigations. The framework stresses the need to build worker flexibility via upskilling and reskilling. This not only improves technical skills but also meets psychological needs for relatedness, autonomy, and competence. The model shows how ATM approaches may lead to more discretionary effort, better retention, and better long-term performance by linking these learning processes to motivational dynamics and resource optimisation. The research emphasises the need to cultivate a resilient learning culture and organise adaptable HR practices, which can respond evolving market demands, technology disruptions, and shifting employee expectations. It provides theoretical contributions to HRD by showing how different theories might be used to manage talent and offering ways for future study to evaluate these ideas. The paper proves how organizations can more effectively align human capital strategies with long-term development, agility, and value creation driven by innovation. The paper concludes with ATM as a model for the future of workforce development, one that encourages resilience, involvement, and being ready for the future.
Type: Journal
Language: English
Publisher: ya tai jing ji bian ji bu
ISSN: 1000-6052
Email: [email protected]