Evaluating The Influence Of Artificial Intelligence And Automation On Modern HR Practices In Chennai's IT Industry

Durairaj, S and Vetrivel, V (2026) Evaluating The Influence Of Artificial Intelligence And Automation On Modern HR Practices In Chennai's IT Industry. International Journal of Drug Delivery Technology, 16: 82. ISSN 0975-4415

[thumbnail of IJDDT,Vol16,Issue8s,Article82.pdf] Text
IJDDT,Vol16,Issue8s,Article82.pdf - Published Version

Download (244kB)

Abstract

The rapid integration of Artificial Intelligence (AI) and automation has transformed Human Resource Management (HRM) practices across the IT industry. This study evaluates the influence of AI-driven HR tools and automated systems on modern HR functions within IT companies located in Chennai. The research incorporates eight independent variables—AI-Based Recruitment and Candidate Screening, Automation in Employee Onboarding Processes, AI-Driven Performance Appraisal Systems, AI-Powered Learning and Development Tools, AI-Based HR Analytics and Predictive Modelling, Automation in Administrative Tasks, AI-Enabled Employee Engagement Systems, and HRIS Automation & Integration—to determine their impact on Employee Job Performance. A descriptive research design was adopted, and primary data were collected from 300 IT employees through a structured questionnaire based on a five-point Likert scale. Statistical tools such as descriptive analysis, Pearson correlation, and multiple regression were employed to measure the strength of relationships and the predictive influence of AI and automation on job performance. The findings reveal that AI and automation significantly enhance various HR processes, improving efficiency, personalization, and accuracy. The regression model explains 89% of the variation in job performance, with AI-Driven Performance Appraisal Systems, AI-Based HR Analytics, and AI-Powered Learning Tools emerging as the most influential predictors.

Item Type: Article
Subjects: Management Studies > Human Resource Management
Domains: Commerce
Depositing User: Mr IR Admin
Date Deposited: 10 May 2026 11:55
Last Modified: 10 May 2026 11:55
URI: https://ir.vistas.ac.in/id/eprint/14593

Actions (login required)

View Item
View Item