Document Type : Articles
Authors
- Ali Najafi
- Davoud Masoumi
- Fatemeh Sheikhshoaei
- Seyed Hossein Razavi Hajiagha
- Zahra Zamani
- Sara Emamgholipour Sefiddashti
Tehran university of medical science
Abstract
Medical academic libraries are required to exemplify and quantify the value of their services to their users and parent organizations. Using the Data Envelopment Approach (DEA) technique, this study reports and discusses the efficiency measurement of the 77 academic libraries in Type1 medical sciences universities in Iran. Eleven (11) input and outputs variables were selected to measure the efficiency and performance of the libraries. The selected variables were: Total volumes held, net volumes added during the research period, number of professional staff, and number of supporting staff (service, security, etc.). The total number of full-time students enrollment, full-time instructional faculties, total personal expenditures (professional and supporting staff), area of the libraries, library spaces, computers, and seating capacities. As representative variables of the services libraries provide to their users, we have selected as outputs opening hours per week, the number of registered readers/members (students, faculty, etc.), circulation transactions, and the number of reader visits or attendance. The input-oriented BCC model analyzed libraries' efficiency and benchmarked each inefficient unit by determining and introducing similar efficient units in terms of services and multiple parameters. Out of the 77 libraries analyzed, 30 libraries were efficient, and 47 were ranked as inefficient. By addressing the performance details of each of the introduced units as a benchmark, the finding of this study can help the gatekeeper of these universities to plan and modify their library work plans to improve performance and achieve full efficiency.https://dorl.net/dor/20.1001.1.20088302.2022.20.2.16.1
- References:
- Achabal, D., Heineke, J., retailing, S. M.-J. of, & 1984, undefined. (n.d.). Issues and perspectives on retail productivity. Papers.Ssrn.Com. Retrieved March 27, 2021, from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1859566
- Adio, G., Akewukereke, M. A., & Ibitoye, S. O. (2007). The Effect of Medical Libraries on Medical Education: Evidence The Effect of Medical Libraries on Medical Education: Evidence from Osun State, Nigeria from Osun State, Nigeria The Effect of Medical Libraries on Medical Education: Evidence from Osun State,. Library Philosophy and Practice, 9(2), 45–58. https://digitalcommons.unl.edu/libphilprac/158
- Celere, M., Miller, G., Ganga, D., & Martins, R. A. (2019). Performance measurement and its impact on Brazilian public academic libraries. https://doi.org/10.1177/0961000617742452
- Charnes, A, Cooper, W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. In Company European Journal of Operational Research (Vol. 2). https://www.sciencedirect.com/science/article/pii/0377221778901388
- Charnes, Abraham, Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444.
- Chen, T. T.-Y. T. Y. (1997). An evaluation of the relative performance of university libraries in Taipei. Asian Libraries, 46(3), 190–201. https://doi.org/10.1108/10650759710189443
- De Prospo, E. R., Altman, E., & E. Beasley, K. (1973). Performance measures for public libraries. Public Library Association. https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Altman%2C+1973+library+&btnG=
- Emrouznejad, A., & Yang, G. (2017). A survey and analysis of the first 40 years of scholarly literature in DEA: 1978e2016. Socio-Economic Planning Sciences, 61, 4–8. https://doi.org/10.1016/j.seps.2017.01.008
- Entezari, Y. (2010). Analysis of Funding Performance of Public Universities. IRPHE, 16(3), 1–21. https://journal.irphe.ac.ir/article-1-931-fa.html
- Gökşen, Y., Doğan, O., & Özkarabacak, B. (2015). A Data Envelopment Analysis Application for Measuring Efficiency of University Departments. Procedia Economics and Finance, 19(15), 226–237. https://doi.org/10.1016/s2212-5671(15)00024-6
- Hamburg, M. (1974). Library Planning and Decision-Making Systems. https://eric.ed.gov/?id=ED093333
- Hariri, N. (2013). The Necessity of Establishing a Culture of Evaluation of Libraries in Iran (Editor’s Note). Journal of Information Systems and Services, 1(4), [in persian].
- Iannuzzi, P. (2010). ACRL’s standards for libraries in higher education: Academic library directors weigh in. College & Research Libraries, 71(9). http://crln.acrl.org/index.php/crlnews/article/view/8442/8672
- Jalalifard, M., Norouzi, Y., Proceedings, A. I.-A., 2013, undefined, & Isfandyari-Moghaddam, A. (2013). Analyzing web citations availability and half‐life in medical journals. Emerald.Com, 65(3), 242–261. https://doi.org/10.1108/00012531311330638
- Klassen, K. J., Russell, R. M., & Chrisman, J. J. (1998). Efficiency and productivity measures for high contact services. Service Industries Journal, 18(4), 1–18. https://doi.org/10.1080/02642069800000038
- Lancaster, F. W. (1995). The evaluation of library services: a concise review of the existing literature. Investigacion Bibliotecologica: Archivonomia, Bibliotecologia e Informacion, 9(18), 25–37.
- Najafi, A. (2020). Comparative evaluation of efficiency of academic libraries in Iranian’s universities of medical sciences based on Data Envelopment Analysis Approach (DEA)(in persian). Theran univeristy of mecial science.
- Najafi, A., Emamgholipour Sefiddashti, S., Sheikhshoaei, F., Razavi Hajiagha, S. H., & Masoumi, D. (2020). DEA-based Performance Evaluation of Libraries: A Systematic Mapping study. Investigacion Bibliotecologica: Archivonomia, Bibliotecologia e Informacion, 34(85), 227. https://doi.org/10.22201/iibi.24488321xe.2020.85.58159
- Neely, A., Gregory, M., & Platts, K. (1995). Performance measurement system design: A literature review and research agenda. In International Journal of Operations and Production Management (Vol. 15, Issue 4, pp. 80–116). https://doi.org/10.1108/01443579510083622
- Ozcan., Y. A. (2014). Health Care Benchmarking and Performance Evaluation: An Assesment Data Envelopment Analysis(DEA).
- Poll, R. (2003). Measuring impact and outcome of libraries. Performance Measurement and Metrics, 4(1), 5–12. https://doi.org/10.1108/14678040310471202
- Pritchard, S. (1996). Determining quality in academic libraries. LIBRARY TRENDS, 572–594. http://www.ideals.illinois.edu/bitstream/handle/2142/8041/librarytrendsv44i3h_opt.pdf
- Reichmann, G. (2004). Measuring university library efficiency using data envelopment analysis. Libri, 54(2), 136–146. https://doi.org/10.1515/LIBR.2004.136
- Reichmann, G., Britain, G., Bibliotheksinstitut, D., Libri, G. R.-, 2004, U., Reichmann, G., Libri, G. R.-, & 2004, U. (2004). Measuring university library efficiency using data envelopment analysis. Libri, 54(2), 136–146. https://doi.org/10.1515/LIBR.2004.136
- Sharma, K., Leung, P., & Zane, L. (1999). Performance measurement of Hawaii State public libraries: an application of data envelopment analysis (DEA). Agricultural and Resource Economics Review, 28(2), 190-198. http://ageconsearch.umn.edu/bitstream/31283/1/28020190.pdf
- Shim, W, & Kantor, P. B. (1999). Evaluation of digital libraries: A DEA approach. PROCEEDINGS OF THE ANNUAL. https://pdfs.semanticscholar.org/70a1/f57f195863ade5a0fe48c2a253600384fe11.pdf
- Shim, Wonsik. (2003). Applying DEA technique to library evaluation in academic research libraries. Library Trends, 51(3), 312. http://www.ideals.illinois.edu/bitstream/handle/2142/8480/librarytren
- Siegel, I. H. (1980). Company Productivity: Measurement for Improvement. https://research.upjohn.org/up_press
- Vitaliano, D. F. (1998). Assessing Public Library Efficiency Using Data Envelopment Analysis. Annals of Public and Cooperative Economics, 69(1), 107–122. https://doi.org/10.1111/1467-8292.00075