An Evaluation of the Performance of Cloud-Based Digital Library Manage-ment Information Systems
Abstract
This study aims to evaluate the performance of cloud-based digital library management information systems (DL-MIS) in supporting library operations and services in higher education institutions. As digital transformation accelerates in the education sector, libraries are shifting from conventional systems to cloud-based platforms to enhance accessibility, efficiency, and user experience. This research employs a quantitative approach by distributing structured questionnaires to librarians, IT staff, and library users across several universities that have adopted cloud-based systems. Key performance indicators such as system reliability, scalability, data security, user satisfaction, and cost-effectiveness are assessed. The findings indicate that cloud-based DL-MIS significantly improve service delivery, minimize downtime, and offer better scalability compared to traditional systems. However, concerns regarding data privacy and dependency on internet connectivity remain. The study concludes with recommendations for optimizing system implementation and aligning digital library strategies with institutional goals
Downloads
References
Saha, R. (2024). Data Privacy and Cyber Security in Digital Library Perspective: Safeguarding User Information. International Journal of Scientific Research in Engineering and Management, 8(4). https://doi.org/10.55041/IJSREM30761 researchgate.net
Tang, K. (2025). Research on Security Strategies of Digital Library Based on Cloud Computing Platform. Advanced Materials Research, 734–737, 3171–3178. https://doi.org/10.4028/www.scientific.net/AMR.734-737.3171 re-searchgate.net+4scientific.net+4researchgate.net+4
Kacha, L., & Zitouni, A. (2018). An overview on data security in cloud computing. arXiv preprint arXiv:1812.09053. https://doi.org/10.48550/arXiv.1812.09053 arxiv.org
Gupta, R., Saxena, D., & Singh, A. K. (2021). Data security and privacy in cloud computing: Con-cepts and emerging trends. arXiv preprint arXiv:2108.09508. https://doi.org/10.48550/arXiv.2108.09508 digital-library.theiet.org+4arxiv.org+4arxiv.org+4
Gholami, A., & Laure, E. (2016). Security and privacy of sensitive data in cloud computing: A sur-vey of recent developments. arXiv preprint arXiv:1601.01498. https://doi.org/10.48550/arXiv.1601.01498
Wu, Z., Shen, S., Li, H., & Zhou, H. (2021). A comprehensive study to the protection of digital li-brary readers’ privacy under an untrusted network environment. Library Hi Tech. https://doi.org/10.1108/LHT-07-2021-0239 sciencedi-rect.com+13iiste.org+13sciencedirect.com+13researchgate.net
Zhao, X., Chang, Y., Feng, H., & Huang, M. (2022). The data security problems discussion in appli-cation of library service platform. In SHS Web of Conferences 140. https://doi.org/10.1051/shsconf/202214001026 shs-conferences.org
Alsaffar, R. D., Ghuloum, H. F., & Al lamki, Z. (2022). Effectiveness Measurement of Digital Li-brary in Higher Education. Information and Knowledge Management, 12(2), 15. https://doi.org/10.7176/IKM/12 2 03 iiste.org
Chopra, G., Misra, P., & Bhaskar, P. (2024). Evaluation of digital library continuous usage: Role of digital library overall quality, perceived usefulness and user satisfaction. International Journal of Information Systems and Change Management, 14(1), 30–53. https://doi.org/10.1504/IJISCM.2024.10063417 researchgate.net
Lee, J., & Kim, H. (2025). Students’ Satisfaction with E Library Services. Journal of Academic Li-brarianship. https://doi.org/10.1080/13614533.2025.2491341 sciencedi-rect.com+2tandfonline.com+2ijarsct.co.in+2
Zhang, L., & Li, Y. (2017). Modelling digital library success using the DeLone and McLean model. Journal of Documentation, 73(2), 272–289. https://doi.org/10.1177/0961000617726123 jour-nals.sagepub.com+1researchgate.net+1

This work is licensed under a Creative Commons Attribution 4.0 International License.