Thesis Abstract

Abstract
The integration of artificial intelligence (AI) in various aspects of organizational operations has brought about significant changes in the field of Human Resource Management (HRM). This study focuses on exploring the impact of AI on recruitment and selection processes within HRM practices. The objective is to understand how AI technologies are transforming traditional recruitment and selection methods, as well as the implications for HR professionals and job applicants. The study begins with an introduction that provides an overview of the research topic and its significance in the context of HRM. The background of the study highlights the evolution of AI technologies and their increasing application in HRM processes. The problem statement identifies the challenges and opportunities associated with the adoption of AI in recruitment and selection practices. The objectives of the study aim to investigate the benefits and drawbacks of AI integration, as well as the strategies for effective implementation. Limitations of the study are acknowledged, recognizing the constraints in data collection and analysis. The scope of the study outlines the specific areas within recruitment and selection processes that will be examined. The significance of the study lies in its contribution to the existing body of knowledge on AI in HRM and its practical implications for HR professionals and organizations. The structure of the thesis provides a roadmap for the organization of the research work, outlining the chapters and sub-topics covered. The literature review delves into ten key areas related to AI in recruitment and selection, including AI technologies, recruitment trends, selection methods, candidate experience, and ethical considerations. Research methodology details the research design, data collection methods, sampling techniques, and data analysis procedures employed in the study. The discussion of findings presents a comprehensive analysis of the data collected, highlighting the impact of AI on recruitment and selection processes and the implications for HRM practices. In conclusion, this study sheds light on the transformative effects of AI on recruitment and selection processes in HRM. The summary encapsulates the key findings, implications, and recommendations for HR professionals and organizations navigating the integration of AI technologies. Ultimately, this research contributes to a deeper understanding of how AI is reshaping the future of recruitment and selection practices in the field of Human Resource Management.

Thesis Overview

Research Overview: "The Impact of Artificial Intelligence on Recruitment and Selection Processes in Human Resource Management" Artificial Intelligence (AI) has emerged as a transformative technology across various industries, revolutionizing traditional processes and enhancing efficiency and effectiveness. In the field of Human Resource Management (HRM), the integration of AI tools and algorithms has significantly influenced recruitment and selection processes, reshaping how organizations attract, assess, and hire talent. This research project aims to explore and analyze the impact of AI on recruitment and selection practices within HRM, focusing on the opportunities, challenges, and implications of this technological advancement. The utilization of AI in recruitment and selection processes offers several benefits, such as increased speed and accuracy in candidate screening, enhanced candidate experience, and the ability to analyze large volumes of data to identify top talent efficiently. AI-powered tools like automated resume screening, chatbots for candidate engagement, and predictive analytics for talent forecasting have become increasingly prevalent in modern HR practices, enabling organizations to streamline their recruitment processes and make data-driven decisions. However, the widespread adoption of AI in HRM also raises important considerations and challenges. Ethical concerns regarding bias and discrimination in AI algorithms, data privacy and security issues, and the potential impact on the human element of recruitment and selection processes are critical factors that need to be addressed. Furthermore, the integration of AI technologies requires upskilling and reskilling of HR professionals to effectively leverage these tools and ensure their successful implementation. Through a comprehensive literature review and empirical research methodology, this project will delve into the current landscape of AI in recruitment and selection within HRM, examining best practices, case studies, and emerging trends in the field. The research will also investigate the perceptions and experiences of HR professionals, candidates, and other stakeholders regarding the use of AI in talent acquisition processes, shedding light on the opportunities and challenges faced by organizations in this evolving digital era. The findings of this study aim to contribute valuable insights to the academic community, HR practitioners, and organizational leaders seeking to harness the potential of AI in recruitment and selection processes. By understanding the implications of AI technology on HRM practices, organizations can adapt their strategies, policies, and procedures to optimize talent acquisition, improve decision-making processes, and enhance overall recruitment outcomes in the digital age."