1. Introduction 1.1 Definition of Key Concepts 1.2 Importance of the Study 1.3 Scope and Objectives 2. Theoretical Framework 2.1 Overview of Strategic HRM 2.2 Evolution of Artificial Intelligence 2.3 Intersection of AI and HRM 3. Methodology 3.1 Research Design 3.2 Data Collection Methods 3.3 Data Analysis Techniques 4. AI Applications in HRM 4.1 Talent Acquisition and Recruitment 4.2 Employee Performance Management 4.3 Learning and Development 5. Impact on Organizational Effectiveness 5.1 Enhancing Decision-Making Processes 5.2 Improving Employee Engagement 5.3 Optimizing Resource Allocation 6. Challenges and Limitations 6.1 Ethical Considerations 6.2 Technological Barriers 6.3 Resistance to Change 7. Case Studies 7.1 Industry Examples of AI in HRM 7.2 Lessons Learned from Implementations 7.3 Comparative Analysis 8. Future Directions and Recommendations 8.1 Emerging Trends in AI and HRM 8.2 Strategic Recommendations 8.3 Conclusion and Implications
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