Utilization of Artificial Intelligence in Library Collection Development and Management

Thesis Abstract

Abstract
This thesis explores the application of Artificial Intelligence (AI) in Library Collection Development and Management. The increasing digitization of library resources and the growing demand for personalized and efficient library services have necessitated the adoption of AI technologies in library operations. The research aims to investigate how AI can enhance collection development and management processes in libraries, ultimately improving user experience and resource utilization. Chapter 1 provides an introduction to the study, discussing the background, problem statement, objectives, limitations, scope, significance, structure of the thesis, and the definition of key terms. The introduction establishes the rationale for the research and outlines the framework within which the study is conducted. Chapter 2 presents a comprehensive literature review on the utilization of AI in library settings. The review covers ten key areas, including the evolution of AI in libraries, AI applications in collection development and management, challenges and opportunities of AI implementation, and best practices for integrating AI technologies in library operations. Chapter 3 details the research methodology employed in this study. It includes discussions on research design, data collection methods, sampling techniques, data analysis procedures, ethical considerations, and limitations of the research methodology. The chapter provides a systematic approach to investigating the research questions and achieving the study objectives. Chapter 4 presents the findings of the research, highlighting the impact of AI on library collection development and management. The chapter discusses the effectiveness of AI algorithms in selecting and organizing library resources, improving search and recommendation systems, enhancing user engagement, and optimizing resource allocation. Chapter 5 offers a conclusion and summary of the thesis, summarizing the key findings, discussing their implications for library practice, and suggesting areas for future research. The conclusion emphasizes the potential of AI technologies to revolutionize library collection development and management, leading to more efficient and user-centric library services. In conclusion, this thesis contributes to the growing body of knowledge on the application of AI in library settings, specifically focusing on collection development and management. By harnessing the power of AI technologies, libraries can enhance their resource discovery and delivery mechanisms, tailor services to user needs, and optimize resource utilization. The findings of this research have implications for library professionals, researchers, and policymakers seeking to leverage AI for improved library services in the digital age.