About the Editors

Kapitel in diesem Buch

1. Frontmatter I
2. Preface V
3. Acknowledgments VII
4. Contents IX
5. Part I: Introduction to Data Enabled Management
6. Chapter 1 What Does Artificial Intelligence–Powered ChatGPT Bring to Academia? A Review 1
7. Chapter 2 Education Policies Through Data Driven Decision Making: Accelerating Inclusive Education for People with Disabilities 15
8. Chapter 3 The Role of Artificial Intelligence in the Emerging Digital Economy Era 33
9. Chapter 4 A Review of Machine Learning Methods for Diagnosis and Classification of Thyroid Disease 51
10. Chapter 5 A Question and Answering System Using Natural Language Processing and Deep Learning 65
11. Part II: Role of AI and Big Data in Management Functions
12. Chapter 6 The Reinvention of HRM Practices Through Artificial Intelligence: Opportunities and Challenges in the Digital World of Work 87
13. Chapter 7 Challenges and Artificial Intelligence–Centered Defensive Strategies for Authentication in Online Banking 105
14. Chapter 8 Catalyzing Human Potential: The Crucial Role of AI in Modern HR Management 119
15. Chapter 9 Exploring How Artificial Intelligence is Changing the HRM Landscape: Refuting the Fiction with Reality! 131
16. Chapter 10 Artificial Intelligence in HR: Employee Engagement Using Chatbots 147
17. Part III: Application of AI in Different Sectors
18. Chapter 11 An Empirical Analysis of Artificial Intelligence Applications of Manufacturing Companies in Turkey 165
19. Chapter 12 A Comprehensive View of Artificial Intelligence (AI)–Based Technologies for Sustainable Development Goals (SDGs) 183
20. Chapter 13 Leveraging Artificial Intelligence for Enhanced Risk Management in Banking: A Systematic Literature Review 197
21. Chapter 14 Exploring the Influence of Artificial Intelligence on the Management of Hospitality and Tourism Sectors: A Bibliometric Overview 215
22. Chapter 15 Artificial Intelligence in Healthcare Sector in India: Application, Challenges and a Way Forward 233
23. Chapter 16 Application of Artificial Intelligence and Machine-Learning Algorithms for Forecasting Risk: The Case of the Indian Stock Market 249
24. List of Figures 263
25. List of Tables 265
26. About the Editors 267
27. Index 269