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 field of Human Resource Management (HRM). The integration of AI technologies has revolutionized traditional HRM practices, offering innovative solutions to streamline and enhance recruitment and selection procedures. The study delves into the various applications of AI in HRM, investigating its implications, benefits, challenges, and future prospects. The introductory chapter sets the stage by providing an overview of the research topic. It outlines the background of the study, highlighting the evolution of AI technologies in HRM and the growing significance of AI in recruitment and selection processes. The chapter also presents the problem statement, objectives of the study, limitations, scope, significance, structure of the thesis, and key definitions to establish a comprehensive framework for the research. Chapter Two comprises a detailed literature review that critically examines existing studies, theories, and models related to AI in HRM, focusing specifically on recruitment and selection processes. The review covers ten key areas, including the evolution of AI in HRM, AI applications in recruitment, benefits of AI in selection processes, challenges, ethical considerations, and future trends in AI integration. Chapter Three outlines the research methodology employed in this study. It discusses the research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The chapter also elaborates on the research framework, variables, hypotheses, and research instruments used to investigate the impact of AI on recruitment and selection processes in HRM. In Chapter Four, the findings of the study are meticulously analyzed and discussed. The chapter presents a detailed examination of the data collected, highlighting the key insights, trends, patterns, and correlations related to the impact of AI on recruitment and selection processes. The discussion covers the implications of the findings, their alignment with existing literature, and their practical implications for HRM professionals. Finally, Chapter Five offers a comprehensive conclusion and summary of the thesis. It synthesizes the key findings, implications, and contributions of the study, reaffirming the significance of AI in transforming recruitment and selection processes in HRM. The chapter also suggests recommendations for future research directions and practical implications for HRM practitioners seeking to leverage AI technologies effectively. In conclusion, this thesis provides a comprehensive analysis of the impact of Artificial Intelligence on recruitment and selection processes in Human Resource Management. By exploring the opportunities and challenges presented by AI integration, this study contributes valuable insights to the ongoing discourse on the role of technology in reshaping HRM practices.