ISSN (Online) : 2456 - 0774

Email : ijasret@gmail.com

ISSN (Online) 2456 - 0774

AI-DRIVEN EMPLOYEE PERCEPTION TOWARDS JOB ATTRITION IN THE IT SECTOR WITH SPECIAL REFERENCE TO CHENNAI CITY

Abstract

This study investigates AI-driven employee perceptions towards job attrition in the IT sector with special referencetoChennaiCity, a major Indian technology hub where AI adoption in HR functions is rapidly accelerating. Using a quantitative researchdesign,primary data were collected from 100 IT employees through a structured Google Forms questionnaire and analyzedusingSPSStoexamine the relationship between socio-economic characteristics, perceptions of AI-driven HR practices, and job attritionintentions.Thefindings show that, while most socio-economic variables do not significantly alter employees’ views on AI in HR, familyannual incomeand gender are associated with perceptual differences, and AI-driven HR practices exhibit a strong positive correlationwithjobattritionintentions, suggesting that ethical concerns, increased AI-driven workload, and fears of skill obsolescence and unfair decisionsarecriticalAI-related factors shaping employees’ inclination to leave their organizations. Keywords: Job Attrition, Employee Perception, Artificial Intelligence, HR Practices

Full Text PDF

IMPORTANT DATES

Submit paper at ijasret@gmail.com

Paper Submission Open For February 2026
UGC indexed in (Old UGC) 2017
Last date for paper submission 28 February 2026
Deadline Submit the paper anytime.
Publication of Paper Within 15-30 Days after completing all the formalities
Publication Fees  Rs.4000 (UG student)
Publication Fees  Rs.5000 (PG student)