Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{206417,
author = {Dr. S. Jesintha},
title = {Role of Artificial Intelligence in Employee Performance Management: A Study with Special Reference to the IT Sector},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {13},
number = {2},
pages = {1158-1172},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=206417},
abstract = {Artificial Intelligence (AI) has emerged as a transformative force in modern human resource management, significantly influencing employee performance management in the Information Technology (IT) sector. Traditional performance appraisal systems, which primarily relied on annual evaluations and subjective managerial assessments, are increasingly being replaced by AI-powered systems capable of providing continuous monitoring, real-time feedback, predictive analytics, and data-driven decision-making. This study examines the role of AI in enhancing employee performance management within the IT industry by analysing its applications, benefits, challenges, and ethical implications. AI-driven technologies such as machine learning, natural language processing, people analytics, intelligent dashboards, and predictive performance models enable organisations to evaluate employee productivity more accurately while identifying skill gaps, training requirements, and career development opportunities. Furthermore, AI facilitates personalised learning, employee engagement, succession planning, and workforce optimisation, thereby contributing to organisational efficiency and competitiveness. Despite these advantages, concerns regarding algorithmic bias, employee privacy, data security, transparency, and overdependence on automated systems continue to challenge organisations implementing AI-based performance management frameworks. The study adopts a qualitative and analytical approach based on secondary sources, including scholarly journals, industry reports, and recent literature. It concludes that AI should function as a decision-support mechanism rather than a replacement for human managerial judgement. A balanced integration of technological intelligence and human empathy is essential for creating ethical, transparent, and effective performance management systems in the IT sector. The findings contribute to the growing discourse on AI-enabled human resource practices and provide practical insights for organisations seeking to modernise their performance management strategies.},
keywords = {Artificial Intelligence, Employee Performance Management, Human Resource Management, IT Sector, People Analytics.},
month = {July},
}
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