Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32726
Digital Library Evaluation by SWARA-WASPAS Method

Authors: Mehmet Yörükoğlu, Serhat Aydın


Since the discovery of the manuscript, mechanical methods for storing, transferring and using the information have evolved into digital methods over the time. In this process, libraries that are the center of the information have also become digitized and become accessible from anywhere and at any time in the world by taking on a structure that has no physical boundaries. In this context, some criteria for information obtained from digital libraries have become more important for users. This paper evaluates the user criteria from different perspectives that make a digital library more useful. The Step-Wise Weight Assessment Ratio Analysis-Weighted Aggregated Sum Product Assessment (SWARA-WASPAS) method is used with flexibility and easy calculation steps for the evaluation of digital library criteria. Three different digital libraries are evaluated by information technology experts according to five conflicting main criteria, ‘interface design’, ‘effects on users’, ‘services’, ‘user engagement’ and ‘context’. Finally, alternatives are ranked in descending order.

Keywords: Digital library, multi criteria decision making, SWARA-WASPAS method.

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 780


[1] M. Kurulgan, “The effects of information technology on library and documentation centers: A review of social, structural, managerial and functional aspects”, Türk Kütüphaneciliği (Turkish Librarianship), vol. 27, no. 3, pp. 472-495, 2013.
[2] T. K. Bensghir, “Bilgi sistemleri ve bilgi yönetimi (Knowledge systems and knowledge management)”, TODAIE e-Devlet Merkezi Bilgi Yönetimi Semineri, Ankara, 23 November 2011.
[3] S. Virkus, “Definition of digital libraries”, Available at:, 2019.
[4] N. Barbuti, S. Ferilli, D. Redavid and T. Caldarola, “An integrated management system for multimedia digital library”, Procedia Computer Science, vol. 38, pp. 128 – 132, 2014.
[5] K. Kaur and S. Diljit, “Modelling web-based library service quality”, Library Information Science Research, vol. 34, no. 3, pp. 184-196, 2012.
[6] M. Pérez-Montoro and J. Nualart, “Visual articulation of navigation and search systems for digital libraries”, International Journal of Information Management, vol. 35, pp. 572–579, 2015.
[7] J. Sun, and B. Z. Yuan, "Development and characteristic of digital library as a library branch”, IERI Procedia, vol. 2, pp. 12 – 17, 2012.
[8] M. Ahmad and J. H. Abawajy, “Digital library service quality assessment model”, Procedia - Social and Behavioral Sciences, vol. 129, pp. 571 – 580, 2014.
[9] Ö. Ş. Topçu, T. Çakmak and G. Doğan, “Data standardization in digital libraries: An ETD case in Turkey”, Procedia - Social and Behavioral Sciences, vol. 147, pp. 223 – 228, 2014.
[10] F. Xu and J. T. Du, “Factors influencing users’ satisfaction and loyalty to digital libraries in Chinese universities”, Computers in Human Behavior, vol. 83, pp. 64-72, 2018.
[11] Y. Li and C. Liu, “Information resource, interface, and tasks as user interaction components for digital library evaluation”, Information Processing and Management, vol. 56, pp. 704–720, 2019.
[12] S. Li, F. Jiao, Y. Zhang and X. Xu, “Problems and changes in digital libraries in the age of big data from the perspective of user services”, The Journal of Academic Librarianship, vol. 45, pp. 22–30, 2019.
[13] I. Xie, S. Joo and K. K. Matusiakc, “Multifaceted evaluation criteria of digital libraries in academic settings: Similarities and differences from different stakeholders”, The Journal of Academic Librarianship, vol. 44, pp. 854–863, 2018.
[14] V. Keršuliene, E. K. Zavadskas and Z. Turskis, Z. “Selection of rational dispute resolution method by applying new stepwise weight assessment ratio analysis (SWARA)”, Journal of Business Economics and Management, vol. 11, no. 2, pp. 243–258, 2010.
[15] E. K. Zavadskas, Z. Turskis, J. Antucheviciene and A. Zakarevicius, “Optimization of weighted aggregated sum product assessment”, Electronics and Electrical Engineering, vol. 6, pp. 3–6, 2012.
[16] V. Kerˇsulien˙e, and Z. Turskis, “Integrated fuzzy multiple criteria decision making model for architect selection”, Technol. Econ. Dev. Econ., vol. 17, pp. 645–666, 2011.
[17] S. H. Zolfani, M. H. Aghdaie, A. Derakhti, E. K. Zavadskas and M. H. M. Varzandeh, “Decision making on business issues with foresight perspective; An application of new hybrid MCDM model in shopping mall locating”, Expert Syst. Appl., vol. 40, pp. 7111–7121, 2013.
[18] S. H. Zolfani, E. K. Zavadskas and Z. Turskis, “Design of products with both international and local perspectives based on yin-yang balance the oryand SWARA method”, Econ. Res. Ekonomska Istraˇzivanja, vol. 26, pp. 153–166, 2013.
[19] M. H. Aghdaie, S. H. Zolfani and E. K. Zavadskas, “Decision making in machine tool selection: an integrated approach with SWARA and COPRAS-G methods”, Inzinerine Ekonomika-Engineering Economy, vol 24, pp. 5–17, 2013.
[20] V. Bagoˇcius, K. E. Zavadskas and Z. Turskis, “Multi-criteria selection of a deep-water port in Klaipeda”, Procedia Eng., vol. 57, pp. 144–148, 2013.
[21] E. K. Zavadskas, J. Antucheviciene, J. ˇSaparauskas and Z. Turskis, “Multi-criteria assessment of facades’ alternatives: Peculiarities of ranking methodology”, Procedia Eng., vol. 57, pp. 107–112, 2013.
[22] T. D˙ejus and J. Antucheviˇcien˙e, “Assessment of health and safety solutions at aconstruction site”, Journal of Civil Engineering Management, vol. 19, pp. 728–737, 2013.
[23] M. Bitarafan, S. H. Zolfani, S. L. Arefi, E. K. Zavadskas, and A. Mahmoudzadeh, “Evaluation of real-time intelligent sensors for structural health monitoring of bridges based on SWARA-WASPAS; A case in Iran”, Baltic J.Road Bridge Eng., vol. 9, pp. 333-340, 2014.