Impact of Artificial Intelligence on Data-Driven Decision Making in HR for Revolutionizing Organizational Growth
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- Description
- Contents
- About
In this era of transition from traditional, people-centric Human Resources (HR) to data-driven and unbiased approaches, this collection not only highlights the revolutionary potential of Artificial Intelligence (AI) but also addresses the challenges and ethical considerations of AI deployment in the workplace.
Impact of Artificial Intelligence on Data-Driven Decision Making in HR for Revolutionizing Organizational Growth explores the transformative role of artificial intelligence in reshaping HR, recruitment, and organisational culture. As AI becomes increasingly embedded in organisational systems, it offers unprecedented opportunities to enhance HR operations—from advanced analytics that predict employee behaviours and trends, to optimising structures that foster innovation and growth.
By providing a comprehensive overview of AI’s impact on HR, this insightful volume offers HR leaders, C-suite executives, organisational strategists, and academics the tools to harness data-driven decision-making for organisational growth in a rapidly changing world.
Chapter 1. The AI Revolution in HR: Future-Proofing your Workforce; Monirul Islam
- Chapter 2. Future Proofing HR with AI: Recent Trends and Research Agenda; Jeeta Sarkar
- Chapter 3. AI and Human Resources: Ethical Concerns and Potential Spots of Biases; Stuti Jalan and Lalatendu Kesari Jena
- Chapter 4. Navigating Inhibitors to Artificial Intelligence Adoption in Human Resource Management Practices: A Multi Criteria Decision making Approach; Ashwarya Kapoor and Rajiv Sindwani
- Chapter 5. Smart Workplaces: Enhancing Employee Well-Being and Work-Life Integration through AI; Tanusree Chakraborty, V. S. Sharada, and Sarthak Sengupta
- Chapter 6. Human Resource 4.0: The AI-Driven Revolution Redefining the Future of Talent; Vandana Madaan, Ram Singh, Fazla Rabby, Shreya Arora, and Olivier Niyompuhwe
- Chapter 7. AI-Driven HR Analytics for Optimizing Organizational Structure: A Synergistic Approach to Employee Engagement and Productivity; Pradeep Ramesh Sonar, Sachin Trambak Mahale, and Renuka Kulkarni
- Chapter 8. Balancing Automation and Human Touch: Strategies for Nurturing the Human Element in an AI-Augmented Workplace; Manisha Singh, Sonali Srivastava, Supriya Paigude, and Sachin Prakash Srivastava
- Chapter 9. AI-Powered Recruitment: A Bibliometric Analysis to Identify Emerging Trends and Research Gaps; Bhartrihari Pandiya
- Chapter 10. Gig Economy and Artificial Intelligence-related Subreddits: The Gig Workers Perspective; Nimisha Singh, Sarthak Sengupta, and Anurika Vaish
- Chapter 11. Impact of AI on Data Driven Decision Making in HR For Revolutionizing Organizational Growth; Lillian Stewart, Yuanyuan (Gina) Cui, and Patrick van Esch
- Chapter 12. The Role of AI in Building a Diverse Workforce; Alok Kumar Gupta, Saroj Singh, and Sonam Singh
- Chapter 13. Harnessing AI and Data for Organizational Learning and Development; Martin Sposato
- Chapter 14. AI for Fair Recruitment: Balancing Tech and Ethics; Arun Kumar P., Rekha Aranha, and Delma Thaliyan
- Chapter 15. Transformative Impacts of Artificial Intelligence on Human Resource Management: A Comprehensive Review and Analysis; Arti Singh, Jahnavi M., Purushottam Bung, N. Nagasubba Reddy, and Loyston Crasta
Himanshu Rai, Director, Indian Institute of Management (IIM) Indore, India.
Arti Gupta, Assistant Professor, Department of Management Studies, J.C. Bose University of Science and Technology, YMCA Faridabad, India.
Rohit Bansal, Professor, Department of Management Studies, Vaish College of Engineering, Rohtak, India.