Impact of HRM Practices and Artificial Intelligence on Employee Attrition in It Industry
- DOI
- 10.2991/978-94-6463-433-4_25How to use a DOI?
- Keywords
- HRM processes; talent acquisition; IT industry; attrition
- Abstract
The study reveals a positive relationship between strategic HRM practices and Artificial Intelligence integration, with organizations successfully aligning these elements facing a more resilient and engaged personnel. The human resources management strategies that prioritize talent acquisition, continuous learning, and employee well-being, when accompanied by AI-driven tools, contribute to reduced attrition and higher job satisfaction. The Information Technology (IT) industry is witnessing profound transformations driven by the integration of AI and innovative HRM practices. The first surface of the study delves into HRM practices, emphasizing their role in talent acquisition, employee’s development and fostering a conducive work environment. Effective HRM practices, encompassing recruitment strategies, training programs and employee engagement initiatives, are examined as critical components for mitigating attrition challenges. The second dimension explores the infusion of AI in HRM processes and its repercussions on employee retention.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - S. Soosai Agnel Jude AU - K. Vinayagam PY - 2024 DA - 2024/06/03 TI - Impact of HRM Practices and Artificial Intelligence on Employee Attrition in It Industry BT - Proceedings of the International Conference on Digital Transformation in Business: Navigating the New Frontiers Beyond Boundaries (DTBNNF 2024) PB - Atlantis Press SP - 350 EP - 358 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-433-4_25 DO - 10.2991/978-94-6463-433-4_25 ID - Jude2024 ER -