Thesis Abstract

Abstract
This thesis explores the application of Artificial Intelligence (AI) in transforming recruitment and selection processes within the realm of Human Resource Management. The study investigates how AI technologies can enhance efficiency, accuracy, and effectiveness in identifying and selecting suitable candidates for various job roles. Through a comprehensive case study approach, the research delves into the integration of AI tools such as machine learning algorithms, natural language processing, and predictive analytics in the recruitment and selection practices of organizations. Chapter One introduces the background of the study, presents the problem statement, outlines the objectives, discusses the limitations and scope of the study, highlights the significance, and provides the structure of the thesis. The chapter also defines key terms relevant to the research topic. Chapter Two presents a detailed literature review comprising ten key areas related to AI in recruitment and selection processes. This chapter synthesizes existing knowledge, theories, and empirical studies to establish a theoretical framework for the research. Chapter Three outlines the research methodology, including the research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The chapter also discusses the research instrument and validity measures employed in the study. Chapter Four presents a comprehensive discussion of the findings derived from the case study on the implementation of AI in recruitment and selection processes. The chapter analyzes the impact of AI technologies on various aspects of the recruitment process, such as candidate sourcing, screening, assessments, and decision-making. Chapter Five provides a conclusion and summary of the thesis, emphasizing the key findings, implications, and recommendations for future research and practice. The chapter also highlights the contributions of the study to the field of Human Resource Management and suggests potential areas for further exploration in the utilization of AI in recruitment and selection processes. Overall, this thesis contributes to the growing body of knowledge on the integration of AI technologies in HR practices, particularly in recruitment and selection. By examining the benefits, challenges, and implications of AI adoption in the context of recruitment, this research aims to provide valuable insights for organizations seeking to leverage advanced technologies to optimize their talent acquisition processes and enhance overall organizational performance.

Thesis Overview

The project titled "Utilizing Artificial Intelligence in Recruitment and Selection Processes: A Case Study in Human Resource Management" aims to explore the integration of artificial intelligence (AI) technologies in the recruitment and selection processes within the field of Human Resource Management (HRM). As organizations continue to seek innovative ways to streamline their HR practices and enhance the efficiency of talent acquisition, the adoption of AI tools presents a promising solution to improve recruitment outcomes. The research will delve into the current landscape of recruitment and selection practices in HRM, highlighting the challenges and limitations faced by organizations in traditional methods. By examining the potential benefits of AI in HRM, the study will analyze how AI technologies such as machine learning algorithms, natural language processing, and predictive analytics can revolutionize the recruitment process by enabling data-driven decision-making and enhancing candidate selection accuracy. Through a comprehensive case study approach, the project will investigate how a specific organization within the HRM sector has implemented AI tools in its recruitment and selection processes. By conducting interviews with HR professionals, analyzing data on recruitment outcomes, and evaluating the impact of AI on organizational performance metrics, the research aims to provide valuable insights into the practical implications of integrating AI in HRM practices. Furthermore, the study will explore the ethical considerations and potential challenges associated with the use of AI in recruitment, including issues related to bias, privacy, and transparency. By critically assessing the ethical implications of AI technologies in HRM, the research seeks to offer recommendations for mitigating risks and ensuring fairness and accountability in the recruitment and selection processes. Overall, this research overview sets the stage for an in-depth exploration of how organizations can leverage AI to transform their recruitment and selection processes in the field of Human Resource Management. By analyzing real-world case studies and addressing critical issues surrounding the adoption of AI technologies, the project aims to contribute valuable insights to the ongoing discourse on the future of HRM practices in the era of artificial intelligence.