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Introduction

Artificial Intelligence (AI) has become a hot topic in the field of Talent Management in recent years. Companies are increasingly turning to AI to help them recruit, develop, and retain top talent. AI has the potential to revolutionize the way organizations manage their workforce, offering opportunities to improve efficiency, effectiveness, and decision-making processes.

This thesis explores the role of AI in Talent Management and its impact on organizational outcomes. The use of AI technology in Talent Management has gained traction due to its ability to automate routine tasks, analyze large quantities of data, and make predictions based on patterns and trends. However, there are also concerns about the ethical implications of using AI in talent-related decisions, as well as questions about the effectiveness and accuracy of AI tools in this context.

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 Evolution of Talent Management
2.2 The Role of AI in Talent Management
2.3 Benefits and Challenges of Using AI in Talent Management
2.4 Ethical Considerations in AI-driven Talent Management
2.5 Trends and Future Directions in AI and Talent Management

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Sampling Techniques
3.4 Data Analysis Techniques
3.5 Measurement Tools
3.6 Reliability and Validity
3.7 Ethical Considerations
3.8 Limitations of the Research

Chapter 4: Discussion of Findings
4.1 Overview of Findings
4.2 Analysis of Data
4.3 Comparison with Existing Literature
4.4 Implications for Practice
4.5 Recommendations for Future Research

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusion
5.3 Contributions to Knowledge
5.4 Practical Implications
5.5 Future Research Directions

Thesis Overview on AI in Talent Management

The use of Artificial Intelligence (AI) in Talent Management has become a topic of great interest in recent years as organizations look for innovative ways to attract, develop, and retain top talent. This thesis aims to explore the impact of AI on Talent Management practices and organizational outcomes.

Chapter 1 provides an introduction to the topic, highlighting the importance of AI in Talent Management and outlining the structure of the thesis. The background of the study, problem statement, objectives, limitations, scope, significance, and definitions of terms are also discussed.

In Chapter 2, a comprehensive literature review is presented, covering the evolution of Talent Management, the role of AI in Talent Management, benefits and challenges of using AI, ethical considerations, and future trends in AI and Talent Management.

Chapter 3 outlines the research methodology used in the study, including research design, data collection methods, sampling techniques, data analysis, measurement tools, and ethical considerations. The limitations of the research are also acknowledged.

Chapter 4 provides a detailed discussion of the findings, including an analysis of the data, comparison with existing literature, implications for practice, and recommendations for future research.

Finally, Chapter 5 offers a conclusion and summary of the thesis, summarizing the findings, highlighting the contributions to knowledge, discussing practical implications, and suggesting future research directions. Overall, this thesis aims to provide valuable insights into the use of AI in Talent Management and its implications for organizations.

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