Project Abstract

Abstract
This research explores the rapidly evolving landscape of Human Resource Management (HRM) with the integration of Artificial Intelligence (AI) in recruitment and selection processes. The study aims to investigate the impact of AI on traditional HR practices, specifically focusing on how AI technologies are transforming recruitment and selection methods within organizations. Through a comprehensive literature review and empirical analysis, this research aims to provide insights into the benefits, challenges, and implications of AI adoption in HRM. The introduction sets the context for the study by discussing the increasing role of AI in various industries and its potential to revolutionize HR practices. The background of the study provides a detailed overview of HRM and the historical evolution of recruitment and selection processes. The problem statement highlights the existing gaps in the literature regarding the impact of AI on HRM and the need for empirical research in this area. The objectives of the study are to assess the effectiveness of AI in improving recruitment and selection outcomes, to identify the challenges and limitations of AI adoption in HRM, and to explore the implications of AI on HR professionals and job applicants. The study acknowledges the limitations of research methodology, such as sample size and data collection methods, and outlines the scope of the study by focusing on organizations that have implemented AI in their HR processes. The significance of the study lies in its potential to contribute to the growing body of knowledge on AI in HRM and provide practical insights for HR practitioners, organizational leaders, and policymakers. The structure of the research is outlined to guide the reader through the study, starting with the introduction and ending with the conclusion and recommendations. Lastly, key terms and concepts related to AI, HRM, recruitment, and selection are defined to provide clarity and understanding for the reader. The literature review in chapter two examines existing research on AI in HRM, covering topics such as AI technologies, recruitment algorithms, automated screening tools, and AI biases in decision-making. The review critically analyzes the advantages and challenges of AI integration in HR processes and highlights the need for further research in this area. Chapter three focuses on the research methodology, detailing the research design, data collection methods, sample selection criteria, and data analysis techniques. The study employs a mixed-methods approach, combining qualitative interviews with HR professionals and quantitative surveys of job applicants to gather diverse perspectives on the impact of AI on recruitment and selection processes. Chapter four presents the findings of the research, including the effects of AI on recruitment efficiency, candidate experience, and HR decision-making. The discussion delves into the implications of AI technologies on HR practices, workforce diversity, and organizational culture. The chapter also addresses the ethical considerations of AI adoption in recruitment and selection processes. In conclusion, the research summarizes the key findings and implications of the study, highlighting the potential of AI to enhance HRM practices while recognizing the challenges and ethical dilemmas associated with AI integration. The study concludes with recommendations for HR professionals and organizations looking to leverage AI technologies effectively in recruitment and selection processes.

Project Overview