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This paper explores how libraries use data analytics for decision-making on various aspects of day-to-day library operations
Physical Description
5 p.
Notes
Abstract: The role of analytics is becoming universal and influencing the way information is used, analysed and applied. It is claimed that organizations can lead, decide, measure, manage and optimize performance to achieve greater efficiency and benefits by using analytical tools. In recent years university libraries have adopted evolving data-driven approaches as a means to improve services. This study will explore how libraries use data analytics for decision-making on various aspects of day-to-day library operations. This research will also examine how analytics have been used with the intention to improve services. The research question, therefore, asks: How does analytics influence library decision making within a university environment? There are two theories that are deemed relevant; Social Construction of Technology and Structurational Model of Technology are considered to explain the relationships between technology and the changes in librarianship practices. More explicitly, the research will explore the inter-relationship between technology and the library professional community and how they influence each other. This study will use qualitative methods through multiple case studies, which provide to explore the research questions. This research will draw data from nine university libraries that are within the state of Victoria, Australia. The research outcome will support libraries in understanding how current analytical systems/processes can be used as part of the library decision making and to find potentiality to improve library services and systems. The study will add to the existing body of knowledge on critical theoretical perspectives that provide us understanding on how the digital technology in the library affect the users and local practice of librarianship. Further, it will help university libraries to use analytics to meet their needs by helping librarians identify, from the vast range of functionalities, the analytical datasets required to inform their decision-making processes.
This paper is part of the following collection of related materials.
International Conference on Knowledge Management (ICKM)
Serving as digital proceedings, this collection includes papers, posters, and slides from invited talks as well as practitioner and sponsor presentations for the annual International Conference on Knowledge Management (ICKM).
Roy Aalia, Prodip Kumer; Mercieca, Paul & Sarkar, Pradip K.The Analytics Edge: Use of Analytics in University Libraries,
paper,
November 9, 2018;
(https://digital.library.unt.edu/ark:/67531/metadc1393801/:
accessed May 24, 2024),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
crediting UNT College of Information.
