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Revolutionizing HR: The AI-Powered Guide to Modern HR Practices

by: Himani GuptaPriya SinghPriyanka RastogiRomita KhuranaShalu Khandelwal

Original price was: ₹1,499.00.Current price is: ₹1,099.00.

Additional information

Dimensions 25 × 15 × 2 cm
Format

Hardback

Genre

Science

ISBN

9788197189821

Number of pages

202

Publisher

Academic Enclave

Year of Publishing

2024

SKU: 9788197189821 Categories: , Product ID: 20338

Description

About the Book

Revolutionizing HR: The AI-Powered Guide to Modern HR Practices explores the transformative role of AI in Human Resource Management, from recruitment to performance management and workforce analytics. It addresses ethics, data privacy, and practical applications, offering a balance of theory and real-world insights. This book is ideal for HR professionals, business leaders, and anyone navigating the AI-driven workplace. With its accessible approach, it’s also an excellent resource for students studying modern HR practices.

About the Authors

Dr. Priyanka Rastogi, a distinguished academician with 15 years of teaching experience, brings a multidisciplinary approach to education. She holds an M.Sc in Mathematics, an MBA, and an MA in Economics, where she earned a Gold Medal, showcasing her academic excellence.

Dr. Shalu Khandelwal is presently working as an Assistant Professor at DPGITM, Gurugram and also Former Senior teacher in United State of America. She completed her Ph.D in Management from Gurukul Kangri University, Haridwar, Uttarakhand.

Dr. Romita Khurana is having more than 10 years of teaching experience, currently she is working as Assistant Professor in Department of Business Administration, MJPRU, Bareilly. She has qualified UGC-NET/JRF in year 2012 and has completed her Ph.D from Gurukul Kangri University, Haridwar.

Dr. Himani Gupta is presently working as an Assistant Professor at DPGITM, Gurugram. She completed her Ph.D in Management from Gurukul Kangri University. She has over 8+ years of teaching experience. She has publications in various National & International Journals (including Scopus Indexed).

Dr. Priya Singh is an Assistant Professor in Institute of Business Studies, Chaudhary Charan Singh University Campus, Meerut, U.P. India. She possesses Ph.D in Management and MBA/M.Com degrees. She has four patent and many books in various disciplines.

Contents

Preface v
Abbreviationxi
1. HRM and the Evolution of HR Technology 1
  • Human Resource Management 1
  • A Brief History of HR Technology 4
  • Key Milestones Leading to the Integration of Artificial Intelligence 9
  • Challenges Faced by HR before the Adoption of Technology 17
  • Case Study: The Transformation of HRM at TechSolutions Inc. 20
  • Multiple Choice Questions 22
  • Other Questions 24
2. Core Concepts of AI Relevant to HR 25
  • Overview of Artificial Intelligence (AI) 25
  • Types of AI 26
  • How Does AI Work? 26
  • Types of AI Tools and Their Applications in HR 31
  • Benefits of Adopting AI in HR 34
  • Challenges of Adopting AI in HR 40
  • Multiple Choice Questions 43
  • Other Questions 45
3. The Business Case for AI in HR 47
  • ROI of AI in HR Practices 47
  • AI’s Role in Diversity, Equity, and Inclusion (DEI) 51
  • Enhanced Decision-Making through Data-Driven Insights in HR 56
  • The Competitive Advantage of AI in HR 57
  • Real-World Examples and Case Studies 61
  • Multiple Choice Questions 63
  • Other Questions 65
4. AI in Recruitment and Talent Acquisition 67
  • AI-Powered Resume Screening and Candidate Matching 67
  • AI-Powered Resume Screening 68
  • AI-Powered Candidate Matching 69
  • Chatbots and Virtual Assistants in Candidate Engagement 72
  • AI in Interview Analytics and Candidate Evaluation 79
  • Case Study: Unilever’s Use of AI in Recruitment and Talent Acquisition 86
  • Multiple Choice Questions 87
  • Other Questions 89
5. Enhancing Employee Experience with AI 91
  • AI Applications for Onboarding and Personalized Learning 91
  • Feedback Loops, Sentiment Analysis, and Employee Engagement
  • Tools: Enhancing Workplace Engagement through AI 96
  • Predictive Analytics for Employee Retention 102
  • Case Study: Accenture’s Use of AI to Enhance Employee Experience 107
  • Multiple Choice Questions 109
  • Other Questions 111
6. AI-Driven Performance Management and Development 113
  • Performance Tracking and Real-Time Feedback Systems 113
  • Personalized Development Plans Using AI 118
  • Identifying High-Potential Employees (HIPos) through Data Analytics 124
  • Case Study: SAP’s AI-Driven Performance Management and Development 129
  • Multiple Choice Questions 131
  • Other Questions 133
7. Data Privacy Laws and Best Practices in AI-Driven HR 135
  • Data Privacy Laws and Best Practices 135
  • Ethical Considerations and Mitigating Biases in AI-Driven HR 140
  • Transparent and Fair Use of AI in HR Decisions 144
  • Case Study: IBM’s Approach to AI and Data Privacy in HR 151
  • Conclusion 153
  • Multiple Choice Questions 154
  • Other Questions 156
8. The Future of Work: AI’s Role in Shaping Tomorrow’s Workforce 157
  • Predictions for AI-Driven HR Practices 157
  • How AI Will Impact Organizational Structures and HR Roles 161
  • Future Skills for HR Professionals in an AI-Driven World 164
  • Impact of AI on Remote and Hybrid Work Environments 168
  • Impact of AI on Global Workforce Management 170
  • Conclusion 173
  • Multiple Choice Questions 173
  • Other Questions 176
  • Glossary177
  • References187

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