Thesis Abstract

Abstract
The utilization of artificial intelligence (AI) in human resource management has become increasingly prevalent, particularly in the realm of employee recruitment and selection processes. This thesis delves into the impact of AI on these crucial HR functions, aiming to provide a comprehensive understanding of how AI technologies are reshaping traditional recruitment and selection practices. The study investigates the benefits and challenges associated with the integration of AI in HR processes, as well as its implications for organizational efficiency and employee experience. Chapter One introduces the research topic, providing background information on the evolution of AI in HR management, highlighting the significance of exploring its impact on employee recruitment and selection processes. The problem statement identifies the gaps in existing literature and underscores the need for a detailed examination of the subject matter. The objectives of the study are outlined to guide the research process, while the limitations and scope of the study are also delineated. Chapter Two presents a thorough literature review encompassing ten key areas related to AI in employee recruitment and selection processes. This chapter explores the theoretical underpinnings of AI technologies, their applications in HR management, and the potential implications for organizational performance and employee outcomes. By synthesizing existing research, this chapter sets the foundation for understanding the current landscape of AI integration in HR practices. Chapter Three outlines the research methodology adopted for this study, detailing the research design, data collection methods, sampling procedures, and data analysis techniques. The chapter also discusses ethical considerations and potential biases that may impact the research findings, ensuring the validity and reliability of the study. In Chapter Four, the findings of the research are meticulously analyzed and presented, shedding light on the practical implications of AI on employee recruitment and selection processes. The chapter examines the key themes that emerged from the data analysis, offering insights into the opportunities and challenges associated with AI implementation in HR practices. Chapter Five concludes the thesis by summarizing the key findings, discussing their implications for HR management, and highlighting avenues for future research. The study underscores the transformative potential of AI in reshaping employee recruitment and selection processes, emphasizing the need for organizations to adapt to technological advancements to enhance their HR practices and foster a competitive edge in the contemporary business landscape. In conclusion, this thesis contributes to the growing body of literature on AI in HR management by providing a comprehensive analysis of its impact on employee recruitment and selection processes. By elucidating the benefits and challenges of AI integration, this study offers valuable insights for practitioners, researchers, and organizations seeking to leverage technology to optimize their HR functions and drive organizational success.

Thesis Overview