Utilizing Artificial Intelligence in Recruitment and Selection Processes in Human Resource Management

Thesis Abstract

Abstract
In the dynamic landscape of Human Resource Management, the integration of Artificial Intelligence (AI) has emerged as a significant tool to streamline and enhance recruitment and selection processes. This thesis explores the utilization of AI in recruitment and selection processes within Human Resource Management. The study delves into the background of AI technology in HRM and addresses the challenges faced by organizations in traditional recruitment methods. The research aims to identify the impact of AI on recruitment and selection efficiency, effectiveness, and overall organizational performance. The literature review provides a comprehensive analysis of existing studies, theories, and models related to AI in recruitment and selection processes. Key themes explored include the benefits and limitations of AI adoption, ethical considerations, and the role of AI in improving candidate experience and decision-making. The research methodology section details the research design, data collection methods, and analysis techniques employed in this study. The methodology includes a mixed-methods approach, incorporating both quantitative and qualitative data to provide a holistic understanding of the topic. Data will be collected through surveys, interviews, and case studies to gather insights from HR professionals, AI experts, and employees involved in recruitment processes. The findings from the study highlight the transformative potential of AI in recruitment and selection processes. The results indicate that AI technologies can significantly improve the efficiency and accuracy of screening, shortlisting, and matching candidates to job requirements. Moreover, AI tools can enhance decision-making by providing data-driven insights and reducing bias in the recruitment process. The discussion section critically analyzes the implications of the research findings, addressing the practical applications of AI in HRM and the potential challenges organizations may face in implementing AI technologies. The study emphasizes the importance of ethical considerations, transparency, and employee training in successful AI integration in recruitment processes. In conclusion, this thesis underscores the significance of utilizing AI in recruitment and selection processes in Human Resource Management. The research contributes to the existing body of knowledge by providing insights into the benefits, challenges, and best practices of AI adoption in HRM. The study recommends that organizations embrace AI technologies to optimize recruitment processes, improve decision-making, and enhance overall organizational performance. Keywords Artificial Intelligence, Recruitment, Selection, Human Resource Management, Efficiency, Effectiveness, Decision-Making, Ethical Considerations, Organizational Performance.