Thesis Abstract

Abstract
The integration of artificial intelligence (AI) technologies into recruitment and selection processes in Human Resource Management (HRM) has gained significant attention in recent years. This thesis explores the potential benefits, challenges, and implications of utilizing AI in HRM practices, specifically focusing on recruitment and selection processes. The primary objective of this study is to investigate how AI can enhance efficiency, accuracy, and effectiveness in identifying and selecting top talent for organizations. The research begins with a comprehensive literature review that examines existing studies, theories, and models related to AI, recruitment, and selection in HRM. Various AI technologies such as machine learning, natural language processing, and predictive analytics will be explored in the context of their applications to recruitment and selection processes. Methodologically, this study adopts a mixed-methods approach, combining quantitative data analysis with qualitative insights from HR professionals, AI experts, and organizational leaders. The research methodology includes data collection through surveys, interviews, and case studies to provide a holistic understanding of the impact of AI on recruitment and selection practices. The findings from this research reveal the potential benefits of AI in streamlining recruitment processes, reducing bias, improving decision-making, and enhancing candidate experience. However, challenges such as data privacy concerns, algorithmic bias, and ethical implications are also identified and discussed. The discussion of findings delves into the practical implications of integrating AI technologies into HRM practices, highlighting best practices, recommendations, and strategies for organizations looking to adopt AI in recruitment and selection. The conclusion emphasizes the importance of balancing technological advancement with human-centric approaches to ensure ethical, fair, and effective recruitment and selection processes. Overall, this thesis contributes to the growing body of knowledge on the role of AI in HRM, specifically in recruitment and selection processes. By examining the opportunities and challenges associated with AI implementation, this research aims to inform HR professionals, organizational leaders, and policymakers on how to leverage AI technologies to optimize talent acquisition strategies and achieve competitive advantages in the evolving digital era.

Thesis Overview

The project titled "Utilizing Artificial Intelligence for Recruitment and Selection Processes in Human Resource Management" aims to explore the integration of artificial intelligence (AI) technologies in the recruitment and selection processes within the field of human resource management. This research seeks to investigate how AI can enhance and optimize the traditional recruitment and selection methods employed by organizations to attract, assess, and hire the best candidates for various job roles. The utilization of AI in recruitment and selection processes has gained significant attention in recent years due to its potential to streamline hiring procedures, improve decision-making, and enhance overall efficiency in talent acquisition. By leveraging AI-powered tools such as machine learning algorithms, natural language processing, and predictive analytics, organizations can automate repetitive tasks, screen large volumes of job applications, and identify top candidates based on predefined criteria and data-driven insights. This research overview will delve into the key components of the project, including the background of the study, problem statement, objectives, methodology, findings, and implications of utilizing AI in recruitment and selection processes. The study will also address the limitations and ethical considerations associated with AI implementation in human resource management, as well as the potential challenges and opportunities that organizations may encounter when adopting these technologies. Through a comprehensive analysis of existing literature, case studies, and empirical research, this project aims to provide valuable insights into the benefits, risks, and best practices of integrating AI into recruitment and selection processes. By examining real-world examples and industry trends, this research seeks to offer practical recommendations and guidelines for HR professionals, managers, and policymakers looking to harness the power of AI in talent acquisition and management. Overall, this research overview sets the stage for a detailed investigation into how AI can revolutionize the recruitment and selection processes in human resource management, paving the way for more efficient, data-driven, and strategic approaches to talent acquisition in the digital age.