Implications of Work Automation for Human Resource Management

• Author(s): Raj Kamleshkumar Modi ; Himanshu Lad
• Paper ID: 1707339
• Page: 33-36
• Published Date: 04-03-2025
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 8 Issue 9 March-2025

Abstract

The digital transformation of workplaces, driven by artificial intelligence (AI) and automation, is reshaping Human Resource Management (HRM). AI-powered recruitment tools, automated performance management systems, and predictive analytics are revolutionizing HR processes, increasing efficiency while posing ethical and strategic challenges. This paper explores the impact of automation on HRM, examining its influence on talent acquisition, employee engagement, performance evaluation, and decision-making. Using the Job Demands-Resources (JD-R) Theory, this study provides insights into how automation alters employee experiences and organizational dynamics. The paper also addresses ethical concerns, workforce adaptation strategies, and the evolving role of HR professionals in the era of AI-driven work environments.

Keywords

Human Resource Management, Automation, Artificial Intelligence, Workforce Digitalization, HR Analytics, Job Demands-Resources Theory

Citations

IRE Journals:
Raj Kamleshkumar Modi , Himanshu Lad "Implications of Work Automation for Human Resource Management" Iconic Research And Engineering Journals Volume 8 Issue 9 2025 Page 33-36

IEEE:
Raj Kamleshkumar Modi , Himanshu Lad "Implications of Work Automation for Human Resource Management" Iconic Research And Engineering Journals, 8(9)