Transformative HR Strategies: Driving Human Capital Dynamics in IT Sector
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Abstract
The dynamics of human capital are now crucial in determining how companies will develop in the future, spurring advancements in human resources management (HRM). This study examines how HR practices are changing and highlights significant innovations that deal with today's workforce issues. Performance management, employee engagement, and talent acquisition have all been transformed by the incorporation of technology into HR procedures. These days, streamlining HR activities is mostly dependent on automation, artificial intelligence, and data analytics, which results in better strategic planning and decision-making. This article explores how AI-driven recruitment tools and sophisticated algorithms are revolutionizing talent acquisition by improving applicant sourcing, screening, and selection. These tools promote a more diverse workforce by lowering bias and increasing efficiency. Another key area is employee engagement, where advancements like gamification, tailored learning and development plans, and real-time feedback platforms help to increase motivation and retention rates. The field of performance management has experienced notable transformations as well, transitioning from yearly reviews to ongoing performance monitoring and feedback. This change makes it possible to define goals and evaluate success more quickly, which improves the alignment of personal goals with corporate objectives. The study also looks at how HR analytics may be used to forecast workforce trends, spot talent shortages, and make future workforce requirements plans. The study had 185 participants from the IT industry in Nodia city, India. The results indicated that there was a noteworthy positive correlation between the dependent variable human capital dynamics and the independent variables of talent acquisition, employee engagement, and performance management. The study has a significant impact on management implications and theoretical contribution as well.