Contents
pdf Download PDF pdf Download XML
125 Views
10 Downloads
Share this article
Original Article | Volume 2 Issue 1 (Jan-Feb, 2025) | Pages 181 - 188
AI-Driven Employee Engagement: Transforming HR Strategies for the Digital Workforce
 ,
 ,
 ,
 ,
1
Assistant Professor, Department of Management Sciences, (BBA Information System) PSG College of Arts & Science, Coimbatore
2
Senior Lecturer, Department of Business Administration, Nile University of Nigeria, Abuja- Federal Capital Territory, Nigeria
3
Assistant Professor, Department of BBA & BBA CA, Sri Krishna Arts and Science College, Coimbatore
4
Assistant Professor, G.R. D Institute of Management, Dr.G.R. Damodaran College of Science, Civil Aerodrome Post, Avinashi Road, Coimbatore
5
Assistant Professor and Head, Department of BBA (Business Process Management), PSGR Krishnammal College for Women, Coimbatore.
Under a Creative Commons license
Open Access
Abstract

The rapid advancement of Artificial Intelligence (AI) is revolutionizing human resource (HR) management, particularly in enhancing employee engagement strategies. Traditional engagement methods are evolving as organizations leverage AI-driven tools to create personalized experiences, predictive analytics, and data-driven decision-making. This paper explores the transformative role of AI in employee engagement, emphasizing its impact on recruitment, onboarding, performance management, and workplace culture. AI-powered chatbots, sentiment analysis, and predictive models enable HR professionals to assess employee satisfaction, identify disengagement patterns, and proactively address workplace concerns. Machine learning algorithms facilitate real-time feedback mechanisms, fostering a more dynamic and responsive work environment.

Furthermore, AI enhances learning and development by providing personalized training programs tailored to individual skill gaps, career aspirations, and performance data. Virtual assistants and AI-driven coaching platforms support continuous learning, enabling employees to upskill efficiently. The study also examines ethical considerations, including data privacy, bias in AI algorithms, and the balance between automation and human-centric HR approaches. While AI presents numerous advantages in boosting employee engagement, challenges such as algorithmic transparency, ethical AI implementation, and resistance to technological change must be addressed.

Through a comprehensive review of existing literature and case studies, this paper highlights best practices in AI-driven engagement strategies, demonstrating how organizations can integrate AI without compromising human values. The findings suggest that AI has the potential to create more inclusive, adaptive, and engaging workplaces, ultimately improving employee retention, productivity, and overall job satisfaction. As digital transformation reshapes workforce dynamics, organizations must embrace AI responsibly, ensuring a balanced synergy between technology and human interaction. This research contributes to the evolving discourse on AI in HRM, offering insights into future trends and the sustainable implementation of AI-driven engagement strategies.

Keywords
Recommended Articles
Research Article
AI-Aided Prioritisation with Physics-Based Validation: MD/MM-PBSA of Antiviral Binding in SARS-CoV-2 and Monkeypox
...
Published: 18/08/2025
Research Article
An Intelligent IoT Security System: Cloud-Native Architecture with Real-Time AI Threat Detection and Web Visualization
Published: 12/08/2025
Research Article
Investigating the Impact of Employee Engagement on Service Quality Outcomes in Higher Education: A Study of Faculty Members in Self-Financing Colleges
...
Published: 16/08/2025
Research Article
Exploring OCB in Academic Contexts: Insights from a Narrative Review
Published: 06/08/2025
© Copyright Asian Society of Management & Marketing Research (ASMMR)