Utilizing Artificial Intelligence in Recruitment and Selection Processes: A Comparative Analysis of Efficiency and Effectiveness in HR Management

Thesis Abstract

Abstract
The advent of artificial intelligence (AI) has revolutionized various industries, and its impact on human resource management, particularly in recruitment and selection processes, has been significant. This thesis explores the utilization of AI in recruitment and selection processes and conducts a comparative analysis of its efficiency and effectiveness in HR management. The study aims to provide insights into how AI technologies can enhance HR practices and improve the overall recruitment and selection process within organizations. Chapter One introduces the research topic, provides the background of the study, identifies the problem statement, outlines the objectives of the study, discusses the limitations and scope of the research, highlights the significance of the study, and presents the structure of the thesis. Additionally, key terms and concepts relevant to the study are defined to provide clarity and understanding. Chapter Two consists of a comprehensive literature review that examines existing research and scholarly works related to AI in recruitment and selection processes. The review covers various aspects such as the evolution of AI in HR management, the benefits and challenges of using AI in recruitment, and the impact of AI on traditional HR practices. The chapter aims to provide a solid theoretical foundation for the study and identify gaps in the existing literature. Chapter Three focuses on the research methodology employed in this study. It includes detailed descriptions of the research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The chapter also discusses the selection criteria for the comparative analysis and outlines the steps taken to ensure the validity and reliability of the research findings. In Chapter Four, the findings of the comparative analysis of AI utilization in recruitment and selection processes are presented and discussed in detail. The chapter examines the efficiency and effectiveness of AI technologies in improving HR management practices, enhancing candidate experience, reducing bias in recruitment, and increasing the overall quality of hires. The findings are supported by empirical data and insights gathered from the research analysis. Chapter Five serves as the conclusion and summary of the thesis. It provides a comprehensive overview of the key findings, discusses the implications of the research results, highlights the contributions of the study to the field of HR management, and offers recommendations for future research and practical applications. The chapter concludes by emphasizing the importance of integrating AI technologies into HR practices to achieve greater efficiency and effectiveness in recruitment and selection processes. In conclusion, this thesis contributes to the growing body of knowledge on the utilization of AI in HR management, specifically in recruitment and selection processes. By conducting a comparative analysis of AI technologies, this study sheds light on the potential benefits and challenges associated with integrating AI into HR practices. The findings underscore the importance of leveraging AI to enhance recruitment and selection processes, improve decision-making, and drive organizational success in the digital age.