Effectiveness of Artificial Intelligence in HR Practices on Employee Engagement with Reference to IT Industries in Chennai

Abstract

This study aims to examine the impact of artificial intelligence-based HRM strategies on employee engagement in the IT sector. The Industrial Revolution (IR) is significantly influenced by artificial intelligence (AI). In areas where there is enough data and where that data can be utilized to improve the effectiveness of human resource management, AI has the potential to transform HR practices. It will demonstrate the link between independent aspects training and development, performance assessment and job satisfaction using artificial intelligence and employee engagement. The authors also examine the current academic framework for AI adoption in HRM as well as applications of AI in HRM. The results provide a thorough examination of the connection between employee engagement and AIHRM, the identification of knowledge gaps in this area, and the effects of AI on HR practices. The research suggests as AI-powered tools and apps, to investigate the potential impact of AI performance on workers’ job engagement, service, and results. When it comes to tracking and analyzing employee engagement, the majority of businesses still use traditional survey methods to assess engagement on an annual or longer basis. The dimensions and effects of engagement have become abundantly clear to us thanks to these practices, but it’s time to reconsider how we measure it and, more importantly, how we can use the same digital tools to increase worker productivity, retention, and satisfaction. In order to address this contemporary trend of how technology advancements affect engagement measurement as well as the use of human resource management (HRM) techniques to increase engagement, we suggest a number of study subjects.

Keywords: Artificial Intelligence, Human Resources Management, HR Practices, Employee Engagement, Employee Retention, Machine Languages

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