, 1. of Contents
Contents
1. Preface
2. Acknowledgments
3. Part I: Introduction to Data Enabled Management
1. Karunarathnage Sajith Senaka Nuwansiri Karunarathna, Narayanage
Jayantha Dewasiri, Rubee Singh, Mananage Shanika Hansini
RathnasiriChapter 1 What Does Artificial Intelligence–Powered ChatGPT
Bring to Academia? A Review
1. 1.1 Introduction
2. 1.2 ChatGPT
3. 1.3 Methodology
4. 1.4 Discussion
5. 1.5 Conclusions and Implications
2. Karthik Shivashankar, Venkat BakthavatchaalamChapter 2 Education
Policies Through Data Driven Decision Making: Accelerating Inclusive
Education for People with Disabilities
1. 2.1 Introduction
2. 2.2 Background
3. 2.3 The Status of Children with Disabilities
4. 2.4 AI as a Tool for Inclusion: A Review
5. 2.5 Proposed Model
6. 2.6 Research Methodology
7. 2.7 Data Collection
8. 2.8 Analysis and Policy Making
9. 2.9 Barriers to Implementing this Model in Developing Countries
10. 2.10 Future Works
11. 2.11 Conclusion
3. Wasswa ShafikChapter 3 The Role of Artificial Intelligence in the Emerging
Digital Economy Era
1. 3.1 Introduction
2. 3.2 Artificial Intelligence Types
3. 3.3 Applications of AI in the Digital Economic Era
4. 3.4 Benefits of Artificial Intelligence in the Digital Economic Era
5. 3.5 Challenges of Artificial Intelligence in the Digital Economic Era
6. 3.6 Conclusion
4. Sonia RaniChapter 4 A Review of Machine Learning Methods for
Diagnosis and Classification of Thyroid Disease
1. 4.1 Introduction
2. 4.2 Motivation of the Study
3. 4.3 Literature Review
4. 4.4 Conclusion
, 5. Trisiladevi C. Nagavi, Sanjana K. G., P. MaheshaChapter 5 A Question and
Answering System Using Natural Language Processing and Deep Learning
1. 5.1 Introduction
2. 5.2 Aim
3. 5.3 Objectives
4. 5.4 Introduction
5. 5.5 Applications
6. 5.6 Existing System
7. 5.7 Proposed System
8. 5.8 Literature Survey
9. 5.9 Design and Implementation
10. 5.10 Experimental Results
11. 5.11 Conclusion and Future Scope
4. Part II: Role of AI and Big Data in Management Functions
1. Kamalesh Ravesangar, Hafinas Halid, Syaza Lyana Mahadzir, Rubee
SinghChapter 6 The Reinvention of HRM Practices Through Artificial
Intelligence: Opportunities and Challenges in the Digital World of Work
1. 6.1 Introduction
2. 6.2 The Reinvention of HRM Practices Through Artificial Intelligence
(AI)
3. 6.3 Usage of AI-Based Software in the Human Resource
4. 6.4 Benefits and Challenges in the Digital World of Work Associated
with AI in HRM
5. 6.5 Conclusion
2. Esther Jyothi Veerapaneni, Sampreeth Chowdary N.Chapter 7 Challenges
and Artificial Intelligence–Centered Defensive Strategies for Authentication
in Online Banking
1. 7.1 Introduction
2. 7.2 Literature Survey
3. 7.3 Framework of Artificial Intelligence–Centred Defensive
Strategies for Authentication in Online Banking
4. 7.4 Result Analysis
5. 7.5 Conclusion
3. Kamalpreet Kaur Paposa, Pardeep Bawa Sharma, Shubham
SumanChapter 8 Catalyzing Human Potential: The Crucial Role of AI in
Modern HR Management
1. 8.1 Introduction
2. 8.2 Research Methodology
3. 8.3 Human Resource Management in the Disruptive Era
4. 8.4 Role of AI in Managing Various HR Functions
5. 8.5 Discussion and Managerial Implications
6. 8.6 Ethical Considerations for an AI-Driven HRM
7. 8.7 Limitations of the Study
8. 8.8 Conclusion
, 4. Aneesya Panicker, Avnish SharmaChapter 9 Exploring How Artificial
Intelligence is Changing the HRM Landscape: Refuting the Fiction with
Reality!
1. 9.1 Introduction
2. 9.2 Conceptualizing Artificial Intelligence
3. 9.3 Conceptualizing Technology Enabled Human Resource
Management
4. 9.4 A Paradigm Changes in AI Integration Methods for Human
Resource Management
5. 9.5 Applications of AI in HRM
6. 9.6 Critical Appraisal of Application of AI in Human Resource
Management
7. 9.7 AI is Going to Supplant Human Jobs in the Coming Years: The
Diverse Research Perspectives
8. 9.8 Impact of AI in HRM: Fiction Versus Reality
9. 9.9 Concluding Remarks
5. Sailaja Nimmagadda, Ravi Kishan Surapaneni, Rajasekjara Mouly
PotluriChapter 10 Artificial Intelligence in HR: Employee Engagement
Using Chatbots
1. 10.1 Introduction: Rationale and Motivation for the Book Chapter
2. 10.2 Role of HR Chatbots in Employee Engagement
3. 10.3 Need and Significance of Chatbots in Employee Engagement
4. 10.4 Challenges in Employee Engagement Kindle HR Teams
Toward HR Chatbots
5. 10.5 Chatbots
6. 10.6 The Review of Literature
7. 10.7 Conversational Behavior Using Chatbots
8. 10.8 Scope and Objectives of the Study
9. 10.9 Research Design
10. 10.10 Findings and Recommendations
11. 10.11 Conclusion and Scope for Future Study
5. Part III: Application of AI in Different Sectors
1. Hilmi YükselChapter 11 An Empirical Analysis of Artificial Intelligence
Applications of Manufacturing Companies in Turkey
1. 11.1 Introduction
2. 11.2 Artificial Intelligence in Manufacturing
3. 11.3 Research Objectives and Methodology
4. 11.4 Discussion
5. 11.5 Conclusion
2. Rubee Singh, Kishore Kumar, Shahbaz KhanChapter 12 A
Comprehensive View of Artificial Intelligence (AI)–Based Technologies for
Sustainable Development Goals (SDGs)
1. 12.1 Introduction
2. 12.2 Emergence of AI
3. 12.3 AI and Innovative Sustainable Business Model
4. 12.4 AI as an Enabler for Achieving SDGs
Contents
1. Preface
2. Acknowledgments
3. Part I: Introduction to Data Enabled Management
1. Karunarathnage Sajith Senaka Nuwansiri Karunarathna, Narayanage
Jayantha Dewasiri, Rubee Singh, Mananage Shanika Hansini
RathnasiriChapter 1 What Does Artificial Intelligence–Powered ChatGPT
Bring to Academia? A Review
1. 1.1 Introduction
2. 1.2 ChatGPT
3. 1.3 Methodology
4. 1.4 Discussion
5. 1.5 Conclusions and Implications
2. Karthik Shivashankar, Venkat BakthavatchaalamChapter 2 Education
Policies Through Data Driven Decision Making: Accelerating Inclusive
Education for People with Disabilities
1. 2.1 Introduction
2. 2.2 Background
3. 2.3 The Status of Children with Disabilities
4. 2.4 AI as a Tool for Inclusion: A Review
5. 2.5 Proposed Model
6. 2.6 Research Methodology
7. 2.7 Data Collection
8. 2.8 Analysis and Policy Making
9. 2.9 Barriers to Implementing this Model in Developing Countries
10. 2.10 Future Works
11. 2.11 Conclusion
3. Wasswa ShafikChapter 3 The Role of Artificial Intelligence in the Emerging
Digital Economy Era
1. 3.1 Introduction
2. 3.2 Artificial Intelligence Types
3. 3.3 Applications of AI in the Digital Economic Era
4. 3.4 Benefits of Artificial Intelligence in the Digital Economic Era
5. 3.5 Challenges of Artificial Intelligence in the Digital Economic Era
6. 3.6 Conclusion
4. Sonia RaniChapter 4 A Review of Machine Learning Methods for
Diagnosis and Classification of Thyroid Disease
1. 4.1 Introduction
2. 4.2 Motivation of the Study
3. 4.3 Literature Review
4. 4.4 Conclusion
, 5. Trisiladevi C. Nagavi, Sanjana K. G., P. MaheshaChapter 5 A Question and
Answering System Using Natural Language Processing and Deep Learning
1. 5.1 Introduction
2. 5.2 Aim
3. 5.3 Objectives
4. 5.4 Introduction
5. 5.5 Applications
6. 5.6 Existing System
7. 5.7 Proposed System
8. 5.8 Literature Survey
9. 5.9 Design and Implementation
10. 5.10 Experimental Results
11. 5.11 Conclusion and Future Scope
4. Part II: Role of AI and Big Data in Management Functions
1. Kamalesh Ravesangar, Hafinas Halid, Syaza Lyana Mahadzir, Rubee
SinghChapter 6 The Reinvention of HRM Practices Through Artificial
Intelligence: Opportunities and Challenges in the Digital World of Work
1. 6.1 Introduction
2. 6.2 The Reinvention of HRM Practices Through Artificial Intelligence
(AI)
3. 6.3 Usage of AI-Based Software in the Human Resource
4. 6.4 Benefits and Challenges in the Digital World of Work Associated
with AI in HRM
5. 6.5 Conclusion
2. Esther Jyothi Veerapaneni, Sampreeth Chowdary N.Chapter 7 Challenges
and Artificial Intelligence–Centered Defensive Strategies for Authentication
in Online Banking
1. 7.1 Introduction
2. 7.2 Literature Survey
3. 7.3 Framework of Artificial Intelligence–Centred Defensive
Strategies for Authentication in Online Banking
4. 7.4 Result Analysis
5. 7.5 Conclusion
3. Kamalpreet Kaur Paposa, Pardeep Bawa Sharma, Shubham
SumanChapter 8 Catalyzing Human Potential: The Crucial Role of AI in
Modern HR Management
1. 8.1 Introduction
2. 8.2 Research Methodology
3. 8.3 Human Resource Management in the Disruptive Era
4. 8.4 Role of AI in Managing Various HR Functions
5. 8.5 Discussion and Managerial Implications
6. 8.6 Ethical Considerations for an AI-Driven HRM
7. 8.7 Limitations of the Study
8. 8.8 Conclusion
, 4. Aneesya Panicker, Avnish SharmaChapter 9 Exploring How Artificial
Intelligence is Changing the HRM Landscape: Refuting the Fiction with
Reality!
1. 9.1 Introduction
2. 9.2 Conceptualizing Artificial Intelligence
3. 9.3 Conceptualizing Technology Enabled Human Resource
Management
4. 9.4 A Paradigm Changes in AI Integration Methods for Human
Resource Management
5. 9.5 Applications of AI in HRM
6. 9.6 Critical Appraisal of Application of AI in Human Resource
Management
7. 9.7 AI is Going to Supplant Human Jobs in the Coming Years: The
Diverse Research Perspectives
8. 9.8 Impact of AI in HRM: Fiction Versus Reality
9. 9.9 Concluding Remarks
5. Sailaja Nimmagadda, Ravi Kishan Surapaneni, Rajasekjara Mouly
PotluriChapter 10 Artificial Intelligence in HR: Employee Engagement
Using Chatbots
1. 10.1 Introduction: Rationale and Motivation for the Book Chapter
2. 10.2 Role of HR Chatbots in Employee Engagement
3. 10.3 Need and Significance of Chatbots in Employee Engagement
4. 10.4 Challenges in Employee Engagement Kindle HR Teams
Toward HR Chatbots
5. 10.5 Chatbots
6. 10.6 The Review of Literature
7. 10.7 Conversational Behavior Using Chatbots
8. 10.8 Scope and Objectives of the Study
9. 10.9 Research Design
10. 10.10 Findings and Recommendations
11. 10.11 Conclusion and Scope for Future Study
5. Part III: Application of AI in Different Sectors
1. Hilmi YükselChapter 11 An Empirical Analysis of Artificial Intelligence
Applications of Manufacturing Companies in Turkey
1. 11.1 Introduction
2. 11.2 Artificial Intelligence in Manufacturing
3. 11.3 Research Objectives and Methodology
4. 11.4 Discussion
5. 11.5 Conclusion
2. Rubee Singh, Kishore Kumar, Shahbaz KhanChapter 12 A
Comprehensive View of Artificial Intelligence (AI)–Based Technologies for
Sustainable Development Goals (SDGs)
1. 12.1 Introduction
2. 12.2 Emergence of AI
3. 12.3 AI and Innovative Sustainable Business Model
4. 12.4 AI as an Enabler for Achieving SDGs
