Impact Of Artificial Intelligence In Recruitment And Selection Practices In Information Technology (It) Companies In Chennai – Principal Component Analysis
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Abstract
This study investigates the transformative impact of artificial intelligence (AI) on recruitment and selection practices within Information Technology (IT) companies in Chennai. Examining relevant literature, researchers, including Manthena, Choudhary,
Sharma, Malik, Hemalatha, Vedapradha, Rajesh, and Soni, advocate for the strategic integration of AI as a valuable tool in optimizing
human resource management. Utilizing Principal Component Analysis (PCA), the study identifies nuanced insights into AI's influence on recruitment and selection. In recruitment, smart analysis and task automation play a prominent role, emphasizing positive contributions from employee referrals and data aggregation. Selection practices reveal higher impacts in internal mobility, automating tasks, and databased decision-making. The sustained positivity across dimensions underscores the constructive roles of key variables, urging responsible AI adoption for continued enhancement in human resource practices.
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References
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Anita Choudhary et al (2023). Impact of Artificial Intelligence on Recruitment. International Journal of Innovations & Research Analysis, Volume 03, No. 02(II), pp 38-42.
Tanvi Sharma and Garima Malik (2020). Impact of Artificial Intelligence in Recruitment. International Journal of Engineering Research and Management, Volume-07, Issue-06, pp 29-35.
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