Thesis Abstract

Abstract
Collection development is a critical aspect of library management, ensuring that libraries acquire and maintain resources that meet the needs of their users. However, allocating resources effectively among academic and non-academic units in libraries can be a complex task. This research project aims to investigate and propose effective allocation strategies for collection development in academic, public, or special libraries. The study will explore the unique requirements of academic and non-academic units within libraries and how collection development strategies can be tailored to meet their specific needs. By understanding the diverse information needs of different user groups, libraries can develop collections that are comprehensive and relevant to their audience. Key factors such as budget constraints, user preferences, curriculum requirements, and research trends will be considered in developing allocation strategies. The research will also examine the use of data analytics and user feedback to inform collection development decisions, ensuring that resources are allocated efficiently and effectively. Additionally, the project will investigate the role of collaboration and communication among library staff, faculty, and other stakeholders in the allocation process. By fostering partnerships and engaging with users, libraries can better understand their needs and preferences, leading to more targeted collection development efforts. The research will draw on existing literature, case studies, and best practices in collection development to identify successful allocation strategies that can be applied in different library settings. By synthesizing this information, the project aims to provide practical recommendations for libraries looking to improve their collection development practices. Ultimately, the goal of this research is to enhance the quality and relevance of library collections by developing effective allocation strategies that align with the needs of academic and non-academic units. By optimizing resource allocation, libraries can better support teaching, learning, and research activities, ultimately benefiting their users and the broader community. In conclusion, this research project will contribute valuable insights into the complex process of collection development in libraries and provide guidance for implementing effective allocation strategies. By understanding the diverse needs of academic and non-academic units and leveraging data-driven decision-making, libraries can enhance the value and impact of their collections.

Thesis Overview