Shelves of Inequality: A Multi-Criteria Assessment of Global Knowledge Gateways
DOI:
https://doi.org/10.17821/srels/2025/v62i6/171858Keywords:
Multi-Criteria Decision-Making Model, National Libraries, G 20 Nations, TOPSIS, User Satisfaction RateAbstract
This paper presents a multi-criteria decision-making analysis of national libraries across developed and developing countries under the G20 using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Five parameters— working hours, collection size, budget (converted to Indian Rupees), staff strength, and library space—were considered with equal weighting. Data from 18 national libraries were normalised and evaluated to determine performance scores and rankings. The paper also compares the user satisfaction of national libraries in developed and developing countries by analysing the percentage of positive reviews, by calculating the range of each group. The results reveal significant variation in overall performance, with libraries in developed countries generally exhibiting higher rankings and having a higher range of user satisfaction. The results indicate that national libraries in developed countries exhibit significantly higher Pi Values with a higher range gap compared to developing countries.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Journal of Information and Knowledge

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
All the articles published in Journal of Information and Knowledge are held by the Publisher. Sarada Ranganathan Endowment for Library Science (SRELS), as a publisher requires its authors to transfer the copyright prior to publication. This will permit SRELS to reproduce, publish, distribute and archive the article in print and electronic form and also to defend against any improper use of the article.
References
Choudhury, S. R. (2016). Challenges faced by developing countries in digitising cultural heritage. Journal of Information Science, 42(4). 507-517. https://doi.org/10.1177/0165551516634466
Conference of European National Librarians (CENL). (2022). National library benchmarking report. https://www.cenl.org/reports
Ghosh, C. (2022). Implementation of the TOPSIS method to compare the libraries of top-ranking universities abroad and in India. Journal of Information and Knowledge, 111122. https://doi.org/10.17821/srels/2022/v59i2/166257
Hahn, K. L. (2015). The role of national libraries in preserving cultural heritage. International Journal of Library Science, 7(2): 45-52.
Hjørland, B. (2011). The importance of theories of knowledge: Browsing as an example. Journal of the American Society for Information Science and Technology, 62(3), 594-603. https://doi.org/10.1002/asi.21451
Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making: Methods and applications. Springer-Verlag. https:// doi.org/10.1007/978-3-642-48318-9
Jantz, R. (2012). Innovation in academic libraries: An analysis of university librarians’ perspectives. Library and Information Science Research, 34(1). 3-12. https://doi.org/10.1016/j.lisr.2011.07.008
Jones, S., Smith, T., & White, A. (2019). Impact of budget allocation and staffing on national library performance. International Journal of Library Science, 14(3), 145-157.
Koontz, C., & Gubbin, B. (Eds.). (2010). IFLA Public Library Service Guidelines. Munich: K.G. Saur Verlag.
Kumar, P., & Singh, R. (2022). Digital transformation of national libraries in emerging economies. Library Hi Tech, 40(1), 123-137. https://doi.org/10.1108/LHT-11-2021-0185
Kumar, V., & Rao, M. (2017). Efficiency analysis of public libraries: Beyond budget size. Library Management, 38(6/7), 362-375.
Li, M., & Chan, D. (2020). Library space and user accessibility: An empirical study. Journal of Library Administration, 60(5), 457-472.
Ojo, A., & Adetimirin, A. (2019). Staffing and service output in Nigerian national libraries: An evaluative study. Library Management, 40(1/2), 67-81.
Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83-98. https://doi.org/10.1504/IJSSCI.2008.017590
Wang, Y., & Liu, Z. (2019). Measuring the digital impact of national libraries: A bibliometric approach. Library and Information Science Research, 41(2). https://doi.org/10.1016/j.lisr.2019.04.003
Chaitali Ghosh




