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.

Thesis Overview

The project titled "Utilization of Artificial Intelligence in Library Collection Development and Management" aims to explore the application of artificial intelligence (AI) in enhancing library collection development and management processes. This research seeks to investigate how AI technologies can be leveraged to streamline and optimize various tasks within library settings, ultimately improving the efficiency and effectiveness of collection development and management practices. In recent years, AI has emerged as a powerful tool with the potential to revolutionize traditional library operations. By harnessing the capabilities of AI, libraries can automate routine tasks such as cataloging, classification, and indexing, freeing up valuable time for librarians to focus on more strategic activities. Additionally, AI-powered systems can analyze user behavior and preferences to recommend personalized reading materials, thereby enhancing the overall user experience and increasing engagement with library resources. Through a comprehensive literature review and empirical research, this study aims to provide insights into the current state of AI adoption in library settings and identify best practices for implementing AI technologies in collection development and management. By examining case studies and real-world examples of AI applications in libraries, this research will highlight the benefits, challenges, and potential risks associated with integrating AI into library workflows. Furthermore, this project will explore the ethical considerations surrounding the use of AI in libraries, including issues related to data privacy, algorithmic bias, and transparency. By addressing these concerns and proposing guidelines for responsible AI implementation, this research aims to promote ethical practices and ensure that AI technologies are used in a manner that upholds the core values of librarianship. In conclusion, the research on the "Utilization of Artificial Intelligence in Library Collection Development and Management" is significant as it contributes to the growing body of knowledge on AI applications in library science. By investigating the potential of AI to transform library operations and enhance user services, this study seeks to inform librarians, researchers, and policymakers about the opportunities and challenges associated with integrating AI into library practices. Ultimately, this research aims to empower libraries to harness the full potential of AI technologies in order to better serve their communities and adapt to the evolving information landscape.