The Impact of Artificial Intelligence in Human Resource Management on Employee Performance Within Bangalore's Software Companies

Abstract

The swift integration of artificial intelligence (AI) is revolutionizing human resource management methodologies, especially in the software sector. This study examines the impact of artificial intelligence tools, AI training models, and AI-enhanced human resource functions on employee happiness inside software firms. A structured questionnaire was employed to gather data from professionals in the software business, and the proposed conceptual model was evaluated using Partial Least Squares Structural Equation Modeling (PLS-SEM). The measuring model exhibited robust internal consistency and convergent validity, with all constructs surpassing the necessary reliability and validity benchmarks. The structural model findings indicate that artificial intelligence tools, AI training models, and AI-enhanced HR operations exert a positive and statistically significant influence on employee satisfaction. Among these criteria, AI training models emerged as the most significant predictor, underscoring the essential significance of ongoing skill improvement in promoting favorable employee attitudes toward AI adoption. The results indicate that successful AI deployment in the software sector necessitates a harmonious amalgamation of cutting-edge technologies, workforce training, and digitally facilitated human resource practices. This study adds to the expanding literature on AI-driven HR transformation and provides significant managerial insights for firms aiming to improve employee happiness via strategic AI implementation.