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Introduction:

Artificial Intelligence (AI) has become a disruptive force across various industries, and Human Resource Management (HRM) is no exception. The integration of AI in HRM has revolutionized the way organizations approach recruitment, employee engagement, training, performance evaluation, and other HR functions. This thesis aims to provide a comprehensive analysis of the impact of AI on HRM practices and explore the opportunities and challenges it presents for organizations in the digital era.

Chapter 1: Introduction
1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter 2: Literature Review
2.1 Overview of Artificial Intelligence
2.2 Evolution of AI in HRM
2.3 Applications of AI in Recruitment
2.4 AI in Employee Training and Development
2.5 AI in Performance Evaluation
2.6 Ethical and Legal Considerations in AI in HRM
2.7 Benefits of AI in HRM
2.8 Challenges of AI in HRM
2.9 Integration of AI with Human Decision-Making
2.10 Future Trends in AI and HRM

Chapter 3: System Design and Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Case Study Approach
3.5 Experimental Design
3.6 Survey Design
3.7 Interviews and Focus Groups
3.8 Ethical Considerations

Chapter 4: System Implementation
4.1 Implementation Process
4.2 Selection of AI Technologies
4.3 Training and Development for AI Integration
4.4 Change Management Strategies
4.5 Performance Measurement
4.6 Monitoring and Evaluation
4.7 Challenges in Implementation
4.8 Success Factors

Chapter 5: Conclusion
5.1 Summary of Findings
5.2 Implications for Practice
5.3 Recommendations for Future Research

Thesis Overview:

AI has transformed numerous industries in recent years, and HRM is no exception. This thesis aims to explore the impact of AI on HRM practices and analyze the opportunities and challenges it presents for organizations. The introduction provides a background of the study, problem statement, objectives, limitations, scope, significance, structure, and definition of terms. The literature review delves into the evolution of AI in HRM, applications in recruitment, training, performance evaluation, ethical considerations, benefits, challenges, integration with human decision-making, and future trends. The system design and methodology chapter outlines research design, data collection, analysis methods, case study approach, experimental design, survey design, interviews, focus groups, and ethical considerations. The system implementation chapter discusses the implementation process, AI technology selection, training, change management, performance measurement, monitoring, evaluation, challenges, and success factors. The conclusion chapter summarizes findings, implications for practice, and recommendations for future research. Overall, this thesis provides a comprehensive analysis of AI in HRM and its implications for organizational management.

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