Thesis Abstract

Abstract
This thesis explores the utilization of Artificial Intelligence (AI) in recruitment and selection processes through a comparative study. The integration of AI technologies in Human Resource Management has gained significant attention due to its potential to enhance efficiency and effectiveness in talent acquisition. The study aims to investigate the impact of AI on recruitment and selection procedures in comparison to traditional methods, evaluating the benefits, challenges, and implications associated with its implementation. The introductory chapter provides an overview of the research, outlining the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. Chapter two presents a comprehensive literature review, analyzing existing studies on AI in recruitment and selection, highlighting key concepts, theories, and empirical evidence to build a theoretical framework for the research. The research methodology chapter details the approach adopted in this study, including research design, data collection methods, sample selection, data analysis techniques, and ethical considerations. The study employs a mixed-methods approach, combining quantitative and qualitative data to provide a holistic understanding of the research topic. Chapter four presents an in-depth discussion of the findings, comparing the outcomes of AI-driven recruitment and selection processes with traditional methods. The analysis explores the efficiency, accuracy, bias, and user perceptions of AI technologies in HR practices, offering insights into the opportunities and challenges of AI integration in talent acquisition. Finally, the conclusion chapter summarizes the key findings of the study, discussing the implications for HR practitioners, organizations, and future research directions. The comparative study provides valuable insights into the potential of AI in transforming recruitment and selection processes, emphasizing the need for strategic planning, training, and ethical considerations in adopting AI technologies in HR practices. Overall, this thesis contributes to the growing body of knowledge on AI in Human Resource Management, offering practical implications for HR professionals seeking to leverage technology for talent acquisition and selection processes. The findings highlight the transformative potential of AI in enhancing recruitment efficiency and effectiveness, paving the way for future research and advancements in HR practices.

Thesis Overview

The project titled "Utilizing Artificial Intelligence in Recruitment and Selection Processes: A Comparative Study" aims to investigate the impact of integrating artificial intelligence (AI) technologies in the recruitment and selection processes within organizations. This research will delve into the evolving landscape of HR practices, particularly focusing on how AI can enhance efficiencies and decision-making in the talent acquisition process. By comparing traditional recruitment methods with AI-driven approaches, the study seeks to provide valuable insights into the benefits, challenges, and implications of AI adoption in HR management. The rapid advancements in AI technologies have revolutionized various industries, and the field of human resource management is no exception. In the context of recruitment and selection, AI offers the potential to streamline processes, improve candidate assessments, enhance predictive analytics, and ultimately optimize hiring outcomes. However, the integration of AI in HR practices also raises important considerations related to data privacy, bias mitigation, and human oversight in decision-making processes. Through a comparative analysis of AI-enabled recruitment practices and traditional methodologies, this research aims to evaluate the effectiveness and efficiency of AI in identifying and selecting top talent. By examining case studies and conducting surveys or interviews with HR professionals, recruiters, and job seekers, the study intends to provide empirical evidence on the impact of AI on recruitment outcomes, candidate experiences, and organizational performance metrics. Key areas of focus in the research overview will include the theoretical underpinnings of AI in HR, the evolution of recruitment practices, the role of AI in talent acquisition, the potential benefits and challenges of AI adoption, ethical considerations in AI-driven decision-making, and the implications for HR professionals and job seekers. By critically analyzing existing literature, practical case studies, and expert opinions, this research aims to contribute to the academic discourse on the transformative potential of AI in reshaping recruitment and selection processes. Overall, this project seeks to offer valuable insights and recommendations for organizations looking to leverage AI technologies in their HR practices, as well as for policymakers and stakeholders interested in understanding the implications of AI adoption in the recruitment and selection domain. By conducting a comprehensive comparative study, this research endeavors to shed light on the opportunities and challenges associated with utilizing artificial intelligence in recruitment and selection processes, ultimately contributing to the advancement of HR management practices in the digital era.