Thesis Abstract

Abstract
This thesis investigates the impact of artificial intelligence (AI) on information retrieval in libraries. The advancement of AI technologies has transformed various industries, and the field of library and information science is no exception. This study aims to explore the implications of integrating AI into library systems, particularly in the context of information retrieval processes. The research methodology employed a mixed-methods approach, combining quantitative analysis of data from library case studies with qualitative assessment through interviews and surveys. Chapter One provides an introduction to the topic, presenting the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. Chapter Two offers an extensive literature review covering ten key areas related to AI, information retrieval, and library systems. The review synthesizes existing research to provide a comprehensive understanding of the subject matter. Chapter Three details the research methodology, outlining the research design, data collection methods, sampling techniques, data analysis procedures, ethical considerations, and limitations of the study. This chapter includes descriptions of how data were collected from libraries that have implemented AI solutions for information retrieval. Chapter Four presents a detailed discussion of the findings, highlighting the impact of AI on information retrieval in libraries. The analysis includes insights from case studies, interviews, and surveys, exploring the benefits and challenges of AI implementation in library settings. The chapter also discusses practical implications and recommendations for librarians and information professionals. Chapter Five concludes the thesis with a summary of key findings, implications for theory and practice, limitations of the study, and suggestions for future research. The study contributes to the growing body of knowledge on the intersection of AI and library science, shedding light on the transformative potential of AI technologies in improving information retrieval processes in libraries. Overall, this thesis provides valuable insights into the impact of artificial intelligence on information retrieval in libraries and offers recommendations for librarians and information professionals looking to leverage AI technologies to enhance user experiences and optimize library services.

Thesis Overview