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.

Thesis Overview

Research Overview: The project titled "The Impact of Artificial Intelligence on Recruitment and Selection Processes in Human Resource Management" aims to explore the transformative effects of artificial intelligence (AI) on traditional recruitment and selection practices within the field of human resource management (HRM). As AI technologies continue to advance rapidly, organizations are increasingly turning to these tools to streamline and enhance their HR processes. This research seeks to investigate the implications of this shift towards AI-driven recruitment and selection methods and analyze how it is reshaping the HRM landscape. The utilization of AI in recruitment and selection processes has the potential to revolutionize the way organizations attract, assess, and hire talent. By leveraging AI algorithms and machine learning capabilities, companies can automate various aspects of the recruitment process, such as resume screening, candidate sourcing, and interview scheduling. This not only saves time and resources but also enables HR professionals to focus on more strategic and value-added tasks. However, the widespread adoption of AI in HRM is not without its challenges and implications. Ethical considerations, such as algorithmic bias and data privacy concerns, must be carefully addressed to ensure fair and unbiased decision-making in the recruitment process. Moreover, the impact of AI on job roles and the future of work raises important questions about the role of HR professionals and the need for upskilling and reskilling in the era of automation. Through a comprehensive literature review, empirical research, and analysis of case studies, this project seeks to provide a nuanced understanding of how AI is transforming recruitment and selection practices in HRM. By examining the benefits, limitations, and ethical considerations associated with AI adoption in HR processes, this research aims to offer valuable insights for organizations looking to navigate the evolving landscape of HRM in the digital age. Overall, this project aims to contribute to the existing body of knowledge on the intersection of AI and HRM by shedding light on the implications of AI-driven recruitment and selection processes and providing recommendations for HR practitioners and policymakers to harness the potential of AI technologies effectively while safeguarding against potential pitfalls.