Aug 2026· Zenodo (CERN European Organization for Nuclear Research)
Employer Branding and e-HRM
Abstract
Abstract Artificial Intelligence (AI) has significantly transformed recruitment and employee selection by improving the efficiency, accuracy and transparency of hiring processes in IT organizations. This study examines the impact of Artificial Intelligence Driven Recruitment and Employee Selection in IT Companies in Chennai. A quantitative research design was adopted and simulated data from 175 respondents were analysed using descriptive statistics, reliability analysis, correlation and multiple regression techniques through SPSS. The simulated results indicate that AI-driven recruitment positively influences recruitment efficiency, candidate experience and the quality of employee selection. The regression analysis revealed that AI-driven recruitment and employee selection explained 71.5% (R² = 0.715) of the variation in recruitment effectiveness, with all proposed hypotheses supported in the simulated analysis. The findings suggest that AI-based recruitment systems enable organizations to reduce hiring time, improve decision-making, minimize recruitment bias and enhance overall talent acquisition. The study highlights the importance of integrating AI technologies into HR practices to strengthen recruitment outcomes in Chennai's IT sector. The data and findings presented are simulated solely for academic demonstration and methodological illustration.
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The professor of physics and inaugural director of the NSF AI Institute for Artificial Intelligence and Fundamental Interactions will lead LNS and continue his research in particle physics.