Thesis Abstract

Abstract
In recent years, the integration of artificial intelligence (AI) technologies into various organizational functions has revolutionized traditional practices. This study investigates the impact of AI on recruitment and selection processes in the field of Human Resource Management. The aim is to explore how AI tools and algorithms are transforming recruitment and selection practices, the challenges and opportunities they present, and the implications for HR professionals and job applicants. The research methodology involves a comprehensive literature review, data collection from HR professionals, and analysis of case studies on organizations that have implemented AI in their recruitment processes. The introduction provides an overview of AI technologies and their increasing relevance in HR practices. The background of the study delves into the historical context of recruitment and selection processes and the emergence of AI as a disruptive force in HRM. The problem statement highlights the need to understand the implications of AI on traditional HR practices and the potential challenges it poses. The objectives of the study include examining the benefits and drawbacks of AI in recruitment, identifying best practices for integrating AI tools, and exploring the ethical considerations associated with AI-driven decision-making in HR. The literature review covers ten key areas, including the role of AI in recruitment, the impact on candidate experience, the use of AI in resume screening, AI bias and discrimination, the rise of chatbots in recruitment, the future of AI in HRM, and more. The research methodology section outlines the approach taken in collecting and analyzing data, including surveys, interviews, and case studies. It also discusses the ethical considerations and limitations of the study. The discussion of findings explores the implications of AI on recruitment and selection processes, including increased efficiency, reduced biases, and potential challenges such as algorithmic discrimination and privacy concerns. The chapter also highlights best practices for organizations looking to implement AI in their HR processes and the skills HR professionals need to leverage AI effectively. In conclusion, this thesis provides valuable insights into the impact of AI on recruitment and selection processes in Human Resource Management. The study emphasizes the need for HR professionals to adapt to the changing landscape of technology and offers recommendations for organizations to navigate the challenges and opportunities presented by AI in HRM. Overall, this research contributes to the growing body of knowledge on AI in HRM and provides a foundation for future research in this field.

Thesis Overview

Overview: The project titled "The Impact of Artificial Intelligence on Recruitment and Selection Processes in Human Resource Management" aims to explore the transformative effects of artificial intelligence (AI) on traditional recruitment and selection practices within the realm of Human Resource Management (HRM). The integration of AI technologies in HRM has garnered significant attention due to its potential to enhance efficiency, accuracy, and effectiveness in the recruitment and selection process. This research seeks to provide a comprehensive analysis of how AI applications are reshaping HRM practices, particularly in the context of recruitment and selection. The study will delve into the theoretical foundations of AI and its relevance to HRM, providing a detailed examination of the key concepts and principles underlying the use of AI in recruitment and selection processes. By reviewing existing literature on AI in HRM, the research will identify the current trends, challenges, and opportunities associated with the adoption of AI technologies in recruitment and selection. Furthermore, the project will investigate the impact of AI on various aspects of recruitment and selection processes, including candidate sourcing, application screening, candidate assessment, and decision-making. Through empirical research and case studies, the study will analyze how AI tools and algorithms are being utilized by organizations to streamline recruitment processes, improve candidate experience, and enhance the quality of hiring decisions. Additionally, the research will explore the implications of AI adoption for HR professionals and organizations, examining issues related to data privacy, algorithmic bias, human-AI collaboration, and the future of work in the context of AI-driven HRM practices. By critically evaluating the benefits and challenges of AI integration in recruitment and selection, the study aims to provide valuable insights for HR practitioners, managers, and policymakers seeking to leverage AI technologies effectively in HRM. Overall, this research project aspires to contribute to the growing body of knowledge on the impact of AI on recruitment and selection processes in HRM, shedding light on the opportunities and challenges presented by the intersection of AI and human resource practices. Through a rigorous analysis of theoretical frameworks, empirical evidence, and practical implications, the study seeks to offer a nuanced understanding of how AI is reshaping the landscape of recruitment and selection in contemporary HRM practices.