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Introduction

Artificial Intelligence (AI) is revolutionizing the way organizations operate in various industries, including human resources management. The utilization of AI technologies in HR functions has brought about significant advancements in recruitment, employee engagement, performance management, and talent development. This thesis aims to explore the impact of AI on human resources management and its implications for organizations and employees.

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 One: Introduction
– Introduction to the research topic
– Overview of AI in human resources management
– Importance of the study
– Research questions and objectives
– Research methodology

Chapter Two: Literature Review
– Evolution of AI in human resources management
– Applications of AI in recruitment and selection
– AI in performance management and employee development
– Impact of AI on employee engagement and retention
– Ethical considerations of AI in HR
– Challenges and barriers in implementing AI in HR
– Best practices and case studies of AI adoption in HR
– Future trends and implications of AI in HR

Chapter Three: Research Methodology
– Research design and approach
– Data collection methods
– Sampling techniques
– Data analysis procedures
– Ethical considerations
– Limitations of the research
– Validity and reliability of the study
– Research timeline and budget

Chapter Four: Discussion of Findings
– Analysis of the data collected
– Comparison of findings with existing literature
– Interpretation of results
– Implications of the findings for organizations and employees
– Recommendations for future research and practice

Chapter Five: Conclusion and Summary
– Summary of key findings
– Conclusions drawn from the study
– Practical implications for HR practitioners
– Recommendations for organizations
– Suggestions for future research directions

Thesis Overview on AI in Human Resources Management:

The integration of AI technologies in human resources management has transformed the traditional HR practices and brought about significant improvements in recruitment, employee engagement, performance management, and talent development. This thesis aims to explore the impact of AI on HR and its implications for organizations and employees.

Chapter One provides an introduction to the research topic, background information, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of terms. Chapter Two presents a comprehensive literature review on the evolution of AI in HR, applications of AI in different HR functions, ethical considerations, challenges, best practices, and future trends.

Chapter Three discusses the research methodology, including research design, data collection methods, sampling techniques, data analysis procedures, ethical considerations, limitations, validity, reliability, and research timeline. Chapter Four presents a detailed analysis of the findings, comparison with existing literature, interpretation of results, implications for organizations and employees, recommendations, and suggestions for future research.

Chapter Five concludes the thesis by summarizing key findings, drawing conclusions, discussing practical implications, providing recommendations for organizations, and suggesting future research directions. This thesis contributes to the growing body of research on AI in HR and offers valuable insights for HR practitioners, researchers, and organizations looking to leverage AI technologies for strategic HR decision-making.

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