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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM50258
Volume:
9 |
6 |
Jun 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This study explores the revolutionary effects of digital tools, automation, and artificial intelligence (AI) on HR procedures in the information technology (IT) industry. HR roles are changing from providing administrative assistance to acting as strategic enablers as digital transformation becomes more and more integrated into contemporary organisational strategies. From chatbot-enabled employee services and predictive performance analytics to AI-driven resume screening and automated interview scheduling, the incorporation of cutting-edge technologies has fundamentally changed how IT businesses hire, onboard, train, and manage personnel. A thorough examination of recent literature is combined with a structured survey of fifty HR experts employed by IT companies as part of the studyâs mixed-method methodology. The findings show that data-informed decision-making, staff engagement, and operational efficiency are all enhanced by digital tools.While Coursera and internal learning management systems are improving employee development, platforms like Hire Vue, Paradox, and LinkedIn Talent Insights are simplifying the hiring process. These advantages, the study points out a number of drawbacks, including algorithmic bias, data privacy issues, HR staff undertraining, and unequal access to digital resources. The study comes to the conclusion that, even while digital tools are crucial, businesses should prioritise the ethical application of AI, make investments to upskill HR staff, and continue to adopt HR technology with a human-centered perspective.
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Publication Date
6/12/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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