Skip to main content


A Study on Impact of AI and Automation on HR in it Sector

Issue Abstract

Abstract
This study aims to investigate the implications of artificial intelligence and automation on human resources practices within IT companies. By employing a mixed methods approach, combining quantitative survey data and qualitative interviews, the research explores how these disruptive technologies are influencing various HR functions, such as recruitment, training, performance management, and employee engagement. The quantitative analysis examines the extent to whic h AI and automation have been adopted in HR processes across a representative sample of IT firms. Additionally, it assesses the perceived impact on efficiency, cost effectiveness, and decision making capabilities within HR departments. The qualitative comp onent delves deeper into the experiences and perspectives of HR professionals, uncovering the challenges, opportunities, and strategies employed to navigate this technological transformation. The findings of this study highlight the significant potential o f AI and automation to streamline administrative tasks, enhance data driven decision making, and personalize employee experiences.

Keywords: Artificial Intelligence, Automation, Human Resource, IT Sector, Mixed methods Approach.


Author Information
Mr. S. Arul Krishnan
Issue No
5
Volume No
3
Issue Publish Date
05 May 2024
Issue Pages
96-103

Issue References

References

1. Blanco, A. F. (2020), On Economic Inequality and Schools of Economic Thought, Economic Alternatives, (4), 511 524.
2. Chen, C. Y. C., Byrne, E., & Vélez, T. (2022). Impact of the 2020 pandemic of COVID 19 on Families with School aged Children in the United States: Roles of Income Level and Race. Journal of Family Issues, 43(3), 719 740.
3. Cioffi, R., Travaglioni, M., Piscitelli, G., Pet rillo, A., & De Felice, F. (2020). Artificial intelligence and machine learning applications in smart production: Progress, trends, and directions. Sustainability, 12(2), 492.
4. Confalonieri, R., Coba, L., Wagner, B., &Besold, T. R. (2021). A Historical Perspective of Explainable Artificial Intelligence. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 11(1), e1391.