Data-Driven Decision Making in Academic Libraries: A Review of Developments and Future Prospects
Author(s): Shiva Kanaujia Sukula, Suresh Balutagi & Willian SA Frias
Abstract - Computer data has been used for many years to support data-driven decision-making. The current study focuses on the fundamental principles of data-driven decision-making in education and learning and how it can potentially transform libraries in the future. The study was conducted in five phases using the scoping review. The decision-making process and early developments, role in educational administration, application in libraries, methods and techniques for data-driven decision-making, most recent advancements, and post-COVID-19 developments in decision-making are all included for discussion based on the data.
Keywords Data-driven decision-making; Decision making in libraries; Data; Decision making and techniques.
DOI URL: https://doi.org/10.26761/ijrls.9.3.2023.1670
Cite This Article As: Sukula, S.K., Balutagi, S. & Frias W. S. A. (2023) Data-Driven Decision Making in Academic Libraries: A Review of Developments and Future Prospects. International Journal of Research in Library Science (IJRLS), 9(3) 1-12. www.ijrls.in
Copyright © 2023 Author(s) retains the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0.
Paper ID: IJRLS-1670 Page: 1-12 Publication Date: 10 July 2023