Thesis Abstract

Abstract
This thesis investigates the implementation of Artificial Intelligence (AI) technologies to enhance library services and improve user experience. The advent of AI has revolutionized various industries, and its potential applications in the library and information science field are vast. The primary objective of this study is to explore how AI can be leveraged to streamline library operations, provide personalized services, and optimize user interactions. The research methodology employed a mixed-methods approach, combining qualitative and quantitative data collection techniques to gather insights from library professionals and users. Chapter 1 provides an introduction to the research topic, presenting the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definitions of key terms. The literature review in Chapter 2 critically examines existing studies on AI applications in libraries, highlighting key trends, challenges, and best practices. Ten key areas of focus are identified, including AI-powered recommendation systems, chatbots for user support, and data analytics for decision-making. Chapter 3 details the research methodology, outlining the research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The study utilized a combination of surveys, interviews, and case studies to gather data from library professionals and users. The findings presented in Chapter 4 offer a comprehensive analysis of the impact of AI technologies on library services and user experiences. The discussion covers themes such as automation of routine tasks, personalized recommendations, enhanced search capabilities, and improved user engagement. The conclusion in Chapter 5 summarizes the key findings of the study, highlighting the benefits and challenges of integrating AI in libraries. The research underscores the importance of strategic planning, staff training, user education, and ethical considerations in the successful implementation of AI technologies. The study concludes with recommendations for future research and practical implications for library practitioners looking to adopt AI solutions. Overall, this thesis contributes to the growing body of research on AI in library and information science, offering insights into the transformative potential of AI for enhancing library services and user experiences. The findings have implications for library professionals, policymakers, and researchers seeking to harness the power of AI to create more efficient, user-centric library environments.

Thesis Overview