Thesis Abstract

Abstract
This thesis explores the implementation of Artificial Intelligence (AI) for enhancing recruitment and selection processes in Human Resource Management (HRM). The rapid advancements in technology have paved the way for organizations to leverage AI tools to streamline and optimize their HR practices. The traditional recruitment and selection methods are often time-consuming, labor-intensive, and prone to biases. In contrast, AI offers the potential to automate repetitive tasks, analyze vast amounts of data efficiently, and make data-driven decisions to improve the overall recruitment and selection process. The research begins with an introduction to the topic, providing a background of the study and highlighting the significance of incorporating AI in HRM practices. The problem statement identifies the challenges faced by organizations in traditional recruitment and selection processes, such as bias, subjectivity, and inefficiency. The objectives of the study aim to investigate how AI can address these challenges and enhance the effectiveness of recruitment and selection practices. The limitations and scope of the study are outlined to provide clarity on the research boundaries and constraints. Chapter two presents a comprehensive literature review that explores existing studies, theories, and best practices related to AI in recruitment and selection. The review covers topics such as the benefits of AI in HRM, the impact of AI on recruitment strategies, and the ethical considerations of AI adoption in HRM. By examining a wide range of literature, the research aims to build a solid foundation for understanding the role of AI in modern HRM practices. Chapter three outlines the research methodology used in this study, including the research design, data collection methods, and data analysis techniques. The chapter discusses the selection of participants, the use of AI tools for data analysis, and the ethical considerations in conducting research on AI in HRM. By following a rigorous methodology, the research aims to ensure the validity and reliability of the findings. Chapter four presents a detailed discussion of the research findings, highlighting the key insights and implications for HRM practices. The chapter examines how AI tools can improve the efficiency of recruitment and selection processes, reduce biases, and enhance the overall quality of hiring decisions. Through a qualitative and quantitative analysis of the data, the research aims to provide practical recommendations for organizations looking to implement AI in their HRM practices. Finally, chapter five offers a conclusion and summary of the thesis, summarizing the key findings, discussing the implications for theory and practice, and suggesting avenues for future research. The conclusion highlights the potential of AI to revolutionize recruitment and selection practices in HRM, emphasizing the importance of ethical considerations and continuous monitoring of AI systems in the workplace. In conclusion, this thesis contributes to the growing body of literature on AI in HRM by providing insights into the benefits, challenges, and implications of using AI for recruitment and selection processes. By exploring the potential of AI to transform HRM practices, the research aims to inform organizations about the opportunities and considerations involved in adopting AI tools in their recruitment and selection processes.

Thesis Overview

The project titled "Using Artificial Intelligence for Recruitment and Selection in Human Resource Management" focuses on the integration of artificial intelligence (AI) technologies in HR processes to enhance recruitment and selection procedures. This research aims to explore the potential benefits, challenges, and implications of incorporating AI tools in the HR domain, specifically in the context of recruitment and selection. Artificial intelligence has gained significant attention in recent years for its ability to streamline operations, improve efficiency, and provide data-driven insights. In the field of human resource management, AI offers promising opportunities to revolutionize traditional recruitment and selection practices by automating repetitive tasks, analyzing large volumes of data, and enhancing decision-making processes. The research will delve into the background of AI technology and its applications in HR management, providing a comprehensive overview of the current landscape and trends in AI-driven recruitment and selection. By examining existing literature, case studies, and best practices, this study aims to identify the key advantages of leveraging AI in HR processes, such as reducing bias, improving candidate experience, and enhancing predictive analytics. Furthermore, the project will address the potential challenges and limitations associated with AI implementation in recruitment and selection, including issues related to data privacy, algorithmic bias, and ethical considerations. By critically evaluating these factors, the research seeks to provide valuable insights into how organizations can effectively harness AI technologies while mitigating risks and ensuring fairness in decision-making. The methodology section of the research will outline the approach and tools used to gather and analyze data, including surveys, interviews, and case studies with HR professionals and experts in the field. By employing a mixed-methods research design, the study aims to capture both qualitative and quantitative perspectives on the impact of AI on recruitment and selection practices. In the discussion of findings, the research will present a detailed analysis of the data collected, highlighting key trends, challenges, and opportunities identified through the study. By synthesizing the research outcomes, the project aims to offer practical recommendations and guidelines for organizations looking to adopt AI technologies in their HR functions, particularly in the context of recruitment and selection. Finally, the conclusion and summary section will provide a comprehensive overview of the research findings and insights, emphasizing the implications for theory and practice in the field of human resource management. By addressing the research objectives and outcomes, this project aims to contribute to the ongoing dialogue on the role of AI in transforming HR processes and shaping the future of recruitment and selection practices.