Thesis Abstract

Abstract
This thesis investigates the utilization of Artificial Intelligence (AI) in recruitment and selection processes, focusing on its effectiveness and ethical implications in the field of Human Resource Management (HRM). The study aims to explore how AI technologies are transforming traditional HR practices, particularly in the recruitment and selection of employees. The research examines the advantages and challenges associated with the integration of AI in HRM, with a specific focus on its impact on recruitment and selection procedures. The introductory chapter provides a comprehensive overview of the research topic, highlighting the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. The subsequent literature review chapter delves into ten key themes related to AI in HRM, including the evolution of HR practices, AI applications in recruitment, selection algorithms, bias and discrimination, candidate experience, and ethical considerations. Chapter three outlines the research methodology employed in this study, detailing the research design, data collection methods, sample selection, data analysis techniques, and ethical considerations. The chapter presents a robust methodology to investigate the effectiveness and ethical implications of AI in recruitment and selection processes within HRM. Chapter four provides an in-depth discussion of the research findings, analyzing the effectiveness of AI technologies in enhancing recruitment and selection processes, as well as the ethical challenges faced by organizations. The chapter examines how AI impacts HR practices, the role of human oversight, potential biases, and the implications for organizational decision-making. Finally, chapter five offers a comprehensive conclusion and summary of the thesis, highlighting key findings, implications for practice, theoretical contributions, and recommendations for future research. The study contributes to the growing body of literature on AI in HRM by offering insights into the practical implications of utilizing AI technologies in recruitment and selection processes. Overall, this thesis provides a nuanced understanding of the effectiveness and ethical implications of utilizing AI in recruitment and selection processes in HRM. The research findings have practical implications for HR professionals, organizational leaders, and policymakers seeking to leverage AI technologies in enhancing HR practices while mitigating ethical concerns.

Thesis Overview

The research project titled "Utilizing Artificial Intelligence in Recruitment and Selection Processes: A Study of Effectiveness and Ethical Implications in Human Resource Management" aims to explore the integration of artificial intelligence (AI) technologies in the traditional recruitment and selection processes within the realm of Human Resource Management (HRM). This study delves into the potential benefits and challenges associated with incorporating AI tools in HRM practices, particularly in the context of talent acquisition. The advent of AI has revolutionized various industries, including HRM, by offering advanced technological solutions to streamline processes and enhance decision-making. In the field of recruitment and selection, AI-powered tools such as resume screening algorithms, chatbots for initial candidate interactions, and predictive analytics for candidate assessment have gained popularity for their efficiency and accuracy. However, the widespread adoption of AI in HRM raises important considerations regarding its impact on organizational practices, employee experiences, and ethical implications. This research project seeks to address the following key objectives: 1. Investigate the effectiveness of AI technologies in optimizing recruitment and selection processes in HRM. 2. Evaluate the ethical implications of utilizing AI tools in decision-making related to talent acquisition. 3. Identify the challenges and limitations associated with the integration of AI in HRM practices. 4. Explore the scope of AI adoption in enhancing HRM functions beyond recruitment and selection. Through a comprehensive literature review, this study will analyze existing research on AI applications in HRM, focusing on recruitment and selection processes. By synthesizing theoretical frameworks, empirical studies, and case examples, the research will provide insights into the benefits and drawbacks of leveraging AI technologies in HRM. The research methodology will involve a mixed-methods approach, incorporating both qualitative and quantitative data collection techniques. Surveys, interviews with HR professionals, and case studies of organizations implementing AI in HRM will be utilized to gather empirical evidence and perspectives on the subject matter. The findings of this study are expected to contribute to the existing body of knowledge on AI in HRM by offering practical recommendations for HR practitioners, organizational leaders, and policymakers. By examining the effectiveness and ethical considerations of AI in recruitment and selection processes, this research aims to inform decision-making processes and enhance the understanding of the implications of AI adoption in HRM. In conclusion, this research project on "Utilizing Artificial Intelligence in Recruitment and Selection Processes" represents a timely and critical investigation into the evolving landscape of HRM practices. By examining the effectiveness and ethical implications of AI technologies, this study seeks to advance scholarly discourse and provide valuable insights for practitioners navigating the complexities of integrating AI in HRM.