Implementation of Artificial Intelligence in Library Management Systems

Thesis Abstract

Abstract
The integration of Artificial Intelligence (AI) in Library Management Systems (LMS) has revolutionized the traditional library operations, enabling enhanced efficiency, accuracy, and user experience. This thesis explores the implementation of AI technologies in LMS, focusing on the benefits, challenges, and implications for libraries in the digital age. The research methodology involved a comprehensive literature review, data collection, and analysis to investigate the current landscape of AI applications in libraries. Chapter One provides an introduction to the study, presenting the background, problem statement, objectives, limitations, scope, significance, and structure of the thesis. Chapter Two comprises a detailed literature review on AI in library systems, covering topics such as AI technologies, applications in libraries, benefits, challenges, and trends. Chapter Three outlines the research methodology, including research design, data collection methods, sampling techniques, data analysis procedures, ethical considerations, and limitations. Chapter Four presents a thorough discussion of the findings, highlighting key insights from the data analysis and discussing the implications for library management practices. Finally, Chapter Five offers a conclusion and summary of the thesis, presenting the key findings, contributions to the field, recommendations for future research, and practical implications for libraries seeking to implement AI in their management systems. This thesis contributes to the growing body of knowledge on AI in libraries and provides valuable insights for library professionals, researchers, and policymakers looking to leverage AI technologies for improved library services and operations.