Thesis Abstract

Abstract
The integration of artificial intelligence (AI) technology in various aspects of organizational operations has been a significant trend in recent years. One critical area where AI has shown promising potential is in the field of human resource management, specifically in the recruitment and selection processes. This thesis examines the impact of artificial intelligence on employee recruitment and selection processes within organizations. The study aims to explore how AI technologies such as machine learning, natural language processing, and data analytics are reshaping traditional recruitment and selection practices. The thesis begins with an introduction that provides a background of the study, identifies the problem statement, states the objectives of the study, discusses the limitations and scope of the research, highlights the significance of the study, and outlines the structure of the thesis. Chapter two presents a comprehensive literature review that delves into ten key areas related to the impact of AI on recruitment and selection processes. The literature review examines the evolution of AI in HR, benefits and challenges of AI in recruitment, AI tools and platforms, ethical considerations, and future trends in AI adoption in HR practices. Chapter three details the research methodology employed in this study, including the research design, data collection methods, sampling techniques, and data analysis procedures. The chapter also discusses the validity and reliability of the research findings. Chapter four presents a detailed discussion of the research findings, including how AI technologies are transforming recruitment and selection processes, the implications for HR professionals, and the potential challenges and opportunities associated with AI adoption in HR practices. Finally, chapter five provides a conclusion and summary of the thesis, highlighting the key findings, implications for practice, and recommendations for future research. The study contributes to the existing body of knowledge by shedding light on the transformative impact of AI on employee recruitment and selection processes. By understanding the potential benefits and challenges of integrating AI technologies in HR practices, organizations can make informed decisions to enhance their recruitment and selection strategies in the digital age.

Thesis Overview

The project titled "The Impact of Artificial Intelligence on Employee Recruitment and Selection Processes" aims to investigate the influence of artificial intelligence (AI) on the traditional practices of employee recruitment and selection within organizations. In recent years, AI technologies have revolutionized various industries, and the field of Human Resource Management is no exception. The integration of AI in recruitment and selection processes has brought about significant changes in how organizations attract, assess, and hire talent. This research will delve into the key aspects of AI application in recruitment and selection, exploring the benefits, challenges, and implications for both employers and job seekers. By examining the current trends and practices in the adoption of AI tools such as applicant tracking systems, predictive analytics, and automated screening processes, this study seeks to provide insights into how these technologies impact the efficiency, effectiveness, and fairness of recruitment and selection procedures. Furthermore, the research will address the ethical considerations surrounding the use of AI in HR practices, particularly concerning issues of bias, privacy, and transparency. Understanding the ethical implications of AI in recruitment and selection is crucial for ensuring that these technologies are used responsibly and in alignment with organizational values and legal standards. Through a comprehensive review of existing literature, case studies, and empirical data, this study aims to contribute to the existing body of knowledge on AI in HRM and provide practical recommendations for organizations looking to leverage these technologies effectively. By analyzing the opportunities and challenges posed by AI in recruitment and selection processes, this research seeks to offer valuable insights for HR professionals, policymakers, and scholars in the field of Human Resource Management.