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.

Thesis Overview

The project titled "The Impact of Artificial Intelligence on Recruitment and Selection Processes in Human Resource Management" aims to investigate the implications of integrating artificial intelligence (AI) technologies into the recruitment and selection processes within the field of human resource management. As the adoption of AI in various industries continues to grow, its potential impact on HR practices, particularly recruitment and selection, is a topic of increasing interest and importance. This research seeks to evaluate how AI tools and systems are transforming traditional HR processes, the challenges and opportunities they present, and the implications for organizations and HR professionals. The study will delve into the current landscape of recruitment and selection practices, highlighting the key stages involved in the process and the role of technology in streamlining these activities. By examining the benefits and limitations of AI applications in HR, the research aims to provide a comprehensive understanding of how these technologies are reshaping the recruitment and selection landscape. Furthermore, the investigation will explore the potential ethical considerations associated with using AI in HR processes, such as bias and discrimination in algorithmic decision-making. By critically analyzing these issues, the research aims to offer insights into best practices for implementing AI tools in a fair and unbiased manner. Through a combination of theoretical frameworks, empirical studies, and case analyses, this research seeks to contribute to the existing body of knowledge on the intersection of AI and HR management. By shedding light on the implications of AI on recruitment and selection processes, the study aims to provide valuable insights for organizations looking to leverage technology to enhance their HR practices and drive organizational success.