The Impact of Artificial Intelligence on Recruitment and Selection Processes in Human Resource Management

Thesis Abstract

Abstract
This thesis explores the profound impact of Artificial Intelligence (AI) on recruitment and selection processes within the realm of Human Resource Management (HRM). The integration of AI technologies in HRM has revolutionized traditional recruitment and selection practices, offering innovative solutions to streamline processes, enhance decision-making, and improve overall efficiency. This study aims to critically analyze the implications of AI adoption in recruitment and selection, shedding light on both the opportunities and challenges presented by this technological advancement. The introductory chapter provides a comprehensive overview of the research topic, outlining the background of the study and articulating the problem statement that motivates this research. The objectives of the study are clearly defined, alongside the limitations and scope of the research. The significance of the study is emphasized, highlighting the potential contributions to both academia and practice. The structure of the thesis is also outlined, providing a roadmap for the subsequent chapters. Chapter two presents an extensive literature review that synthesizes existing knowledge on AI in recruitment and selection processes. Key themes such as AI applications in talent acquisition, the impact on candidate experience, and ethical considerations are explored in depth. The review of relevant studies provides a theoretical foundation for the empirical investigation conducted in this thesis. Chapter three delineates the research methodology employed to investigate the impact of AI on recruitment and selection processes. The research design, data collection methods, and analytical techniques are elaborated upon, ensuring rigor and validity in the research process. The chapter also discusses ethical considerations and limitations inherent in the methodology. Chapter four presents the findings of the empirical investigation, offering a detailed analysis of the data collected. The implications of AI adoption on recruitment and selection outcomes are discussed, drawing insights from the perspectives of HR professionals and organizational stakeholders. The chapter provides a nuanced understanding of the benefits and challenges associated with AI integration in HRM practices. Finally, chapter five encapsulates the conclusion and summary of the thesis, synthesizing key findings and implications derived from the research. Recommendations for HR practitioners and organizations are provided, offering practical insights for leveraging AI technologies in recruitment and selection processes. The conclusion reflects on the broader implications of the study and suggests avenues for future research in this evolving field. In conclusion, this thesis contributes to the growing body of knowledge on the impact of AI on recruitment and selection processes in HRM. By examining the transformative potential of AI technologies, this study offers valuable insights for practitioners seeking to navigate the dynamic landscape of HRM in the digital age.