Impact of HRM Practices and Artificial Intelligence on Employee Attrition in It Industry
S. Soosai Agnel Jude () and
K. Vinayagam ()
Additional contact information
S. Soosai Agnel Jude: Vels Institute of Science, Technology and Advanced Studies, Research Scholar, School of Management Studies
K. Vinayagam: Vels Institute of Science, Technology and Advanced Studies, Research Supervisor, Associate Professor, School of Management Studies
A chapter in Proceedings of the International Conference on Digital Transformation in Business: Navigating the New Frontiers Beyond Boundaries (DTBNNF 2024), 2024, pp 350-358 from Springer
Abstract:
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.
Keywords: HRM processes; talent acquisition; IT industry; attrition (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-433-4_25
Ordering information: This item can be ordered from
http://www.springer.com/9789464634334
DOI: 10.2991/978-94-6463-433-4_25
Access Statistics for this chapter
More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().