Thesis Abstract

Abstract
In the dynamic landscape of human resource management, the integration of artificial intelligence (AI) has gained significant attention, particularly in the recruitment and selection processes. This thesis presents a comparative study that explores the utilization of AI in recruitment and selection processes, aiming to analyze its impact on efficiency, effectiveness, and overall outcomes in comparison to traditional methods. The research is guided by the central objective of evaluating the benefits and challenges associated with the incorporation of AI technologies in HR practices. The introductory chapter provides an overview of the study, discussing the background, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. The literature review chapter critically examines existing literature on AI in recruitment and selection, covering topics such as AI technologies, recruitment trends, selection methods, and the role of AI in HR processes. The research methodology chapter outlines the research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations employed in the study. It also discusses the selection criteria for the comparative analysis and justifies the chosen methodology for the research. The chapter on findings presents a detailed analysis of the data collected from the comparative study, highlighting the key findings, trends, and patterns observed in the utilization of AI in recruitment and selection processes. The discussion delves into the implications of these findings, offering insights into the advantages, limitations, and practical considerations of AI adoption in HR practices. Finally, the conclusion and summary chapter consolidates the key findings of the study, reiterates the research objectives, and provides recommendations for HR practitioners and organizations looking to leverage AI in recruitment and selection processes. The thesis concludes by reflecting on the implications of the study, suggesting avenues for future research, and emphasizing the significance of AI integration in optimizing HR functions. Overall, this thesis contributes to the growing body of knowledge on AI in HR management by offering a comprehensive analysis of its application in recruitment and selection processes. The comparative study provides valuable insights for practitioners, researchers, and organizations seeking to enhance their recruitment strategies through the strategic adoption of AI technologies.

Thesis Overview

The project titled "Utilizing Artificial Intelligence in Recruitment and Selection Processes: A Comparative Study" aims to investigate the effectiveness of integrating artificial intelligence (AI) technologies in the recruitment and selection processes of organizations. This comparative study seeks to explore how AI tools, such as machine learning algorithms, natural language processing, and predictive analytics, can enhance the efficiency, accuracy, and fairness of recruitment practices when compared to traditional methods. The research will involve examining the current landscape of recruitment and selection processes in organizations and identifying the challenges and limitations faced by HR professionals in these areas. By conducting a comparative analysis between AI-driven recruitment practices and traditional methods, the study aims to provide insights into the potential benefits and drawbacks of adopting AI technologies in HR functions. Key objectives of the research include evaluating the impact of AI on reducing bias and discrimination in recruitment, assessing the cost-effectiveness of AI tools in streamlining the hiring process, and examining the overall satisfaction and performance outcomes of candidates selected through AI-driven methods. The study will also consider the ethical implications of AI in recruitment, such as data privacy concerns, algorithmic transparency, and the potential for unintended consequences. By exploring these aspects, the research aims to provide recommendations for organizations looking to leverage AI technologies in their recruitment and selection processes while ensuring fairness, compliance, and positive candidate experiences. Overall, this research seeks to contribute to the existing body of knowledge on the application of AI in HR management and provide practical insights for organizations seeking to optimize their recruitment strategies through technological advancements.