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Introduction

Artificial Intelligence (AI) has been making significant advancements in various fields, including Human Resources Management (HRM). With the rise of AI technologies, HRM has seen a transformation in the way human resource functions are carried out. This thesis aims to explore the integration of AI in HRM and its impact on organizational processes and employee management.

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 Two: Literature Review
2.1 Overview of Artificial Intelligence
2.2 Evolution of AI in HRM
2.3 AI applications in Recruitment and Selection
2.4 AI in Performance Management
2.5 AI in Employee Training and Development
2.6 AI in Employee Engagement
2.7 AI in Diversity and Inclusion
2.8 AI in Compliance and Ethics
2.9 Challenges of Integrating AI in HRM
2.10 Future Trends in AI and HRM

Chapter Three: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Sample Selection
3.4 Research Instruments
3.5 Data Analysis Techniques
3.6 Ethical Considerations
3.7 Limitations of the Study
3.8 Validity and Reliability of the Study

Chapter Four: Discussion of Findings
4.1 Impact of AI on Recruitment and Selection
4.2 Enhancing Performance Management through AI
4.3 AI-driven Employee Training and Development
4.4 Improving Employee Engagement with AI
4.5 Promoting Diversity and Inclusion through AI
4.6 Ensuring Compliance and Ethics with AI
4.7 Overcoming Challenges in AI Integration
4.8 Recommendations for AI Implementation in HRM

Chapter Five: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusions
5.3 Implications for HR Practice
5.4 Recommendations for Future Research

Thesis Overview on AI in Human Resources Management

The integration of Artificial Intelligence (AI) in Human Resources Management (HRM) has been a growing trend in recent years, with organizations adopting AI technologies to enhance HR processes and improve employee management. This thesis aims to explore the impact of AI on HRM and examine the challenges and opportunities it presents in the organizational context.

The first chapter provides an introduction to the topic, discussing the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of terms. The second chapter presents a comprehensive literature review on AI, its evolution in HRM, applications in different HR functions, challenges, and future trends.

The third chapter outlines the research methodology, including research design, data collection methods, sample selection, research instruments, data analysis techniques, ethical considerations, limitations, and validity of the study. The fourth chapter delves into a detailed discussion of findings, highlighting the impact of AI on various HR functions and providing recommendations for AI implementation in HRM.

The final chapter concludes the thesis with a summary of findings, conclusions, implications for HR practice, and recommendations for future research in the field of AI in HRM. Overall, this thesis aims to contribute to the understanding of AI’s role in transforming HRM practices and shaping the future of work in organizations.

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