نوع مقاله : مقاله پژوهشی
نویسنده
استادیار گروه مدیریت و برنامهریزی آموزشی دانشکده روانشناسی و علوم تربیتی، دانشگاه علامه طباطبائی، تهران، ایران.
10.22054/jrlat.2025.86144.1857
چکیده
دانشگاههای دولتی با چالش بهبود کارایی و ارتقاء کیفیت خدمات در شرایط محدودیت منابع مواجهاند، ازاینرو سنجش کارایی مؤسسات آموزش عالی امروزه یکی از اولویتهای اصلی سیاستگذاران و برنامه ریزان آموزشی است. هدف اصلی پژوهش حاضر، سنجش کارایی نسبی دانشکدههای یک دانشگاه بزرگ دولتی در حوزه فعالیتهای پژوهشی است، روش این پژوهش توصیفی- تحلیلی با رویکرد برنامهریزی خطی مبتنی بر تکنیک تحلیل پوششی دادهها است که کارایی برتر فعالیتهای پژوهشی دانشکدهها بر اساس مدل (AP-SBM-V)، محاسبه شده است. ورودیهای مدل شامل تعداد اعضاء هیئتعلمی معیار، درصد اعضاء هیئتعلمی با مرتبه مربی و استادیار، درصد دانشجویان کارشناسی و سرانه پژوهشی (گرنت) اعضاء هیئتعلمی و خروجیهای آن تعداد مقاله معیار، تعداد کتاب معیار، تعداد همایش معیار و سرانه مقالات اعضاء هیئتعلمی است. بر اساس ورودیهای و خروجیهای انتخابی به تفکیک دانشکدهها (DMUs) دادههای موردنیاز از منابع آماری معتبر گردآوری و به کمک نرمافزار DEA-Solver و انتخاب مدل کارایی برتر، رتبه و ضریب کارایی تعداد 9 دانشکده محاسبه گردید و بر اساس خروجیهای نرمافزار وضعیت کارایی فعالیتهای پژوهشی دانشکدهها مورد تجزیهوتحلیل قرار گرفته است. نتایج بهدستآمده نشان میدهد، از 9 دانشکده، تعداد هشت دانشکده با ضریب کارایی بیشتر از یک و یک دانشکده با ضریب کارایی کمتر از یک شناسایی شدند. بهمنظور بررسی تأثیر هر یک از ورودیها و خروجی بر کارایی دانشکدهها، تحلیل حساسیت نیز انجام گردید و پیشنهادهای کاربردی بر اساس مقادیر بهینه محاسباتی ارائه شده است. نتایج پژوهش میتواند برای تخصیص اعتبارات پژوهشی بین دانشکدهها مورداستفاده قرار گیرد.
کلیدواژهها
موضوعات
عنوان مقاله [English]
Measuring the Relative Efficiency of Higher Education Institutions Using Data Envelopment Analysis: A Case Study
نویسنده [English]
- Samad Borzoian
Assistant Professor, Department of Educational Management and Planning, Faculty of Psychology and Educational Sciences, Allameh Tabataba’i University, Tehran, Iran
چکیده [English]
Public universities face the dual challenge of improving efficiency and enhancing the quality of services in the context of resource constraints. Accordingly, assessing the efficiency of higher education institutions has become one of the main priorities of educational policymakers and planners. The main objective of the present study is to evaluate the relative efficiency of the faculties of a large public university in the domain of research activities. This research adopts a descriptive-analytical method with a linear programming approach, based on the Data Envelopment Analysis (DEA) technique. The super-efficiency of research activities across faculties was calculated using the AP-SBM-V model. The model inputs include the standardized number of faculty members, the percentage of faculty holding the ranks of lecturer and assistant professor, the percentage of undergraduate students, and per capita research funding (grants) allocated to faculty members. The outputs consist of standardized counts of research articles, books, conferences, and per capita research publications by faculty members. Based on the selected inputs and outputs, the required data were collected for each faculty (DMU) from reliable statistical sources. Using DEA-Solver software and selecting the super-efficiency model, the efficiency score and ranking of nine faculties were calculated. The results of the software output were analyzed to assess the research performance efficiency of the faculties. The findings indicate that out of nine faculties, eight achieved super-efficiency scores greater than one, while one faculty had a score less than one. To examine the effect of each input and output on faculty efficiency, a sensitivity analysis was also conducted, and practical recommendations were provided based on optimal computational values.The results of this study can be used for allocating research budgets among faculties based on efficiency considerations.
کلیدواژهها [English]
- Performance evaluation
- faculties
- Data Envelopment Analysis
- super-efficiency
- sensitivity analysis
امیری، مقصود، رمضان زاده، سعید، خاتمی فیروزآبادی، سید محمد، صالحی صدقیانی، جمشید. (1394). ارزیابی عملکرد دانشکدههای دانشگاه علوم انتظامی امین با رویکرد وزنهای مشترک در تحلیل پوششی دادهها و تجزیه به مؤلفههای اصلی. فصلنامه مدیریت منابع در نیروی انتظامی، 3 (10)، 1-26.
آذر، عادل و صفری، سعید. (۱۳۸۳). ارزیابی عملکرد سازمان بر اساس شاخصهای جوایز کیفیت رویکرد DEA. دانشور رفتار، 11 (8)، 1-14.
حسینیان، شهامت، و ملکی پویا، جعفر. (1393). ارزیابی عملکرد و کارایی دانشکدههای دانشگاه علوم انتظامی امین به روش تحلیل پوششی دادهها. فصلنامه انتظام اجتماعی، 6 (4)، 111- 130.
خدایی، محمدباقر. (1394). ارزیابی عملکرد پژوهشی اعضای هیئتعلمی موسسه تحقیقات جنگلها و مراتع کشور و مراکز تابعه با استفاده از روش تحلیل پوششی دادهها. فصلنامه تحقیقات جنگل و صنوبر ایران، 23 (62)، 680-693.
خواجوند صالحی، زینب و افشین، زهره. (1395). اندازهگیری بهرهوری و رتبهبندی واحدهای پژوهشی با استفاده از روش تحلیل پوششی دادهها. فصلنامه بسپارش. 5 (17)، 92-99.
دباغ، رحیم. (1390) مقایسه بهرهوری پژوهشی با بهرهوری کل در دانشگاههای منتخب دولت ایران. فصلنامه پژوهشهای اقتصادی ایران، 16 (47)، 75-104.
رضوی، سید مصطفی، شهریاری، سلطانعلی، و احمدپور داریانی، محمود. (1394). ارزیابی عملکرد نوآورانه شرکتهای دانشبنیان با استفاده از تحلیل پوششی دادههای شبکهای رویکرد تئوری بازی. نشریه مدیریت صنعت، 7 (19)، 721-742.
شجاع، نقی، و درویش متولی، محمدحسین. (1394) ارزیابی کارایی فعالیتهای پژوهشی واحدهای دانشگاه آزاد اسلامی: رویکرد تحلیل پوششی دادهها. مدلسازی اقتصادی، 9 (32)، 123-141.
صفدری رنجبر، مصطفی، خلیلی، مسعود، اعظمی، آریا، سبزه کار، علی. (1392). ارزیابی کارایی دانشگاهها و دانشکدهها از دیدگاه تولید دانش با روش تحلیل پوششی دادهها (مطالعه موردی: دانشگاه صنعتی امیرکبیر). مجله تحقیق در عملیات در کاربردهای آن، 10 (2)، 61-76.
محفوظ پور، سعاد، پورآقا، بهروز، عابدی، زهرا، ستاری وند، سهیلا. (1394). بررسی کارآیی بیمارستانهای دانشگاه علوم پزشکی شهید بهشتی تهران با استفاده از روش تحلیل پوششی دادهها. نشریه مدیریت ارتقا سلامت، 5 (1)، 11-20.
محقق نیا، محمدجواد، ابراهیمی، سید احمد، و محرابی، لیلا. (1394). ارزیابی کارایی بانکداری بدون ربا در ایران در مقایسه با سایر کشورهای اسلامی بر اساس رویکرد تحلیل پوششی دادهها. فصلنامه راهبرد اقتصادی، 4 (13)، 111-139.
محلاتی رایتی، محمد. (1394). بررسی اثر تراکم در خروجی نامطلوب با استفاده از تحلیل پوششی دادهها مطالعه موردی: ارزیابی عملکرد دانشگاه. مجله مدیریت تولید و عملیات، 6 (1)، 99-112.
مهرگان، محمدرضا. (1383). مدلهای کمی در ارزیابی عملکرد سازمانها. تهران: انتشارات دانشکده مدیریت دانشگاه تهران.
فاضلی، احسان، وفایی، فرهاد، و جمشیدی نوید، بابک. (1394). بررسی کارایی بیمارستانهای وابسته به دانشگاه علوم پزشکی استان ایلام با استفاده از روش تحلیل پوششی دادهها. مجله دانشگاه علوم پزشکی ایلام، 23 (1)، 89-97.
هاشمی، نیما، حسین زاده لطفی، فرهاد و نجفی، سید اسماعیل. (1388). ارزیابی عملکرد گروههای آموزشی با استفاده از مدل تحلیل پوششی دادهها. مجله مدیریت توسعه و تحول، 2 (1388)، 85-91.
یوسفی حاجیآباد، رضا. (1395). ارزیابی بهرهوری کل عوامل تولید در صنایع کارخانهای ایران. مجله سیاستگذاری اقتصادی، 8 (15)، 153-175.
Abbott, M., & Doucouliagos, C. (2003). The efficiency of Australian universities: A data envelopment analysis. Economics of Education Review, 22 (1), 89–97. https://doi.org/10.1016/S0272-7757 (01)00068-1
Āboltiņa, L., Lāma, G., Sarva, E., Kaļķe, B., Āboliņa, A., Daniela, L., ... & Bernande, M. (2024, January). Challenges and opportunities for the development of future teachers’ professional competence in Latvia. In Frontiers in Education (Vol. 8, p. 1307387). Frontiers. https://doi.org/10.3389/feduc.2023.1307387
Alvarez-Sanchez, D., Velazquez-Victorica, K., Mungaray-Moctezuma, A., & Lopez-Guerrero, A. (2023). Administrative processes efficiency measurement in higher education institutions: A scoping review. Education Sciences, 13 (9), Article 855. https://doi.org/10.3390/educsci13090855
Amiri, M., Ramezanzadeh, S., Khatami Firoozabadi, S. M., & Salehi Sedghiani, J. (2015). Performance evaluation of faculties of Amin Police University with a common weights approach in data envelopment analysis and principal component analysis. Quarterly Journal of Resource Management in Law Enforcement, 3 (10), 1-26. [In Persian]
Azar, A., & Safari, S. (2004). Organizational performance evaluation based on quality awards indicators: A DEA approach. Daneshvar Behavior, 11 (8), 1-14. [In Persian]
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2 (6), 429–444. https://doi.org/10.1016/0377-2217 (78)90138-8
Chen, S. P., & Chang, C. W. (2021). Measuring the efficiency of university departments: An empirical study using data envelopment analysis and cluster analysis. Scientometrics, 126 (6), 5263–5284. https://doi.org/10.1007/s11192-021-03978-1
Chen, Y., Ma, X., Yan, P., & Wang, M. (2021). Operating efficiency in Chinese universities: An extended two-stage network DEA approach. Journal of Management Science and Engineering, 6 (4), 345–362. https://doi.org/10.1016/j.jmse.2021.09.001
Chen, Y., Pan, Y., Liu, H., Wu, H., & Deng, G. (2023). Efficiency analysis of Chinese universities with shared inputs: An aggregated two-stage network DEA approach. Socio-Economic Planning Sciences, 90, Article 101728. https://doi.org/10.1016/j.seps.2023.101728
Coelli, T., Rahman, S., & Thirtle, C. (2002). Technical, allocative, cost and scale efficiencies in Bangladesh rice cultivation: A non-parametric approach. Journal of Agricultural Economics, 53 (3), 607–626. https://doi.org/10.1111/j.1477-9552.2002.tb00040.x
Dabbagh, R. (2011). Comparison of research productivity with total productivity in selected universities of the Iranian government. Quarterly Journal of Economic Research of Iran, 16 (47), 75-104. [In Persian]
Daraio, C. (2020). Nonparametric methods and higher education. In P. N. Teixeira & J. C. Shin (Eds.), The international encyclopedia of higher education systems and institutions (pp. 2109–2114). Springer. https://doi.org/10.1007/978-94-017-8905-9_527
De La Hoz, E., Zuluaga, R., & Mendoza, A. (2021). Assessing and classification of academic efficiency in engineering teaching programs. Journal on Efficiency and Responsibility in Education and Science, 14 (1), 41–52. https://doi.org/10.7160/eriesj.2021.140104
De Witte, K., & López-Torres, L. (2017). Efficiency in education: A review of literature and a way forward. Journal of the Operational Research Society, 68 (4), 339–363. https://doi.org/10.1057/jors.2015.92
Devine, P., Lee, N., Jones, R., & Tyson, W. (1985). An introduction to industrial economics (4th ed.). Unwin Hyman.
Dincă, M. S., Dincă, G., Andronic, M. L., & Pasztori, A. M. (2021). Assessment of the European Union’s educational efficiency. Sustainability, 13 (6), Article 3116. https://doi.org/10.3390/su13063116
Doğan, H. (2023). Measuring the efficiency of Turkish research universities via two-stage network DEA with shared inputs model. Journal on Efficiency and Responsibility in Education and Science, 16 (4), 329–342. https://doi.org/10.7160/eriesj.2023.160406
Du, Y., & Seo, W. (2022). A comparative study on the efficiency of R&D activities of universities in China by region using DEA–Malmquist. Sustainability, 14 (16), Article 10433. https://doi.org/10.3390/su141610433
Duan, S. X. (2019). Measuring university efficiency: An application of data envelopment analysis and strategic group analysis to Australian universities. Benchmarking: An International Journal, 26 (4), 1161–1173. https://doi.org/10.1108/BIJ-10-2017-0274
Emrouznejad, A., & Yang, G. L. (2018). A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016. Socio-Economic Planning Sciences, 61, 4–8. https://doi.org/10.1016/j.seps.2017.01.008
Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society: Series A (General), 120 (3), 253–281. https://doi.org/10.2307/2343100
Fazeli, E., Vafaei, F., & Jamshidi Navid, B. (2015). Efficiency evaluation of hospitals affiliated with Ilam University of Medical Sciences using data envelopment analysis. Journal of Ilam University of Medical Sciences, 23 (1), 89-97. [In Persian]
Fernandes, J. O., & Singh, B. (2022). Accreditation and ranking of higher education institutions (HEIs): Review, observations and recommendations for the Indian higher education system. The TQM Journal, 34 (5), 1013–1038. https://doi.org/10.1108/TQM-04-2021-0115
Ferreira, C. M. de C., & Gomes, A. P. (2020). Introduction to data envelopment analysis: Theory, models and applications (2nd ed.). Editora UFV.
Ferro, G., & D’Elia, V. (2020). Higher education efficiency frontier analysis: A review of variables to consider. Journal on Efficiency and Responsibility in Education and Science, 13 (3), 140–153. https://doi.org/10.7160/eriesj.2020.130304
Figurek, A., Goncharuk, A., Shynkarenko, L., & Kovalenko, O. (2019). Measuring the efficiency of higher education: Case of Bosnia and Herzegovina. Problems and Perspectives in Management, 17 (2), 177–192. https://doi.org/10.21511/ppm.17 (2).2019.13
Flegl, M., Avilés-Sacoto, S. V., Güemes-Castorena, D., & Avilés-Sacoto, E. C. (2023). A state-level analysis of Mexican education and its impact on regional, economic, and social development: Two-stage network DEA approach. Journal on Efficiency and Responsibility in Education and Science, 16 (4), 275–286. https://doi.org/10.7160/eriesj.2023.160402
Fuentes, R., Fuster, B., & Lillo-Bañuls, A. (2016). A three-stage DEA model to evaluate learning-teaching technical efficiency: Key performance indicators and contextual variables. Expert Systems with Applications, 48, 89–99. https://doi.org/10.1016/j.eswa.2015.11.022
Ghasemi, N., Najafi, E., Hoseinzadeh Lotfi, F., & Movahedi Sobhani, F. (2020). Assessing the performance of organizations with the hierarchical structure using data envelopment analysis: An efficiency analysis of Farhangian University. Measurement, 156, Article 107609. https://doi.org/10.1016/j.measurement.2020.107609
Ghimire, S., Amin, S. H., & Wardley, L. J. (2021). Developing new data envelopment analysis models to evaluate the efficiency in Ontario Universities. Journal of Informetrics, 15 (3), Article 101172. https://doi.org/10.1016/j.joi.2021.101172
Halásková, M., Gavurova, B., & Kocisova, K. (2020). Research and development efficiency in public and private sectors: An empirical analysis of EU countries by using DEA methodology. Sustainability, 12 (17), Article 7050. https://doi.org/10.3390/su12177050
Hammes, D. D., Flach, L., & de Mattos, L. K. (2020). The efficiency of public expenditure on higher education: A study with Brazilian Federal Universities. Ensaio: Avaliação e Políticas Públicas em Educação, 28 (109), 1076–1097. https://doi.org/10.1590/s0104-40362020002802573
Hančlová, J., & Chytilová, L. (2023). Education performance of Czech public higher education institutions using data envelopment and panel regression analysis. Journal on Efficiency and Responsibility in Education and Science, 16 (4), 313–328. https://doi.org/10.7160/eriesj.2023.160405
Hashemi, N., Hosseinzadeh Lotfi, F., & Najafi, S. E. (2009). Performance evaluation of educational departments using data envelopment analysis model. Journal of Management Development and Evolution, 2 (1389), 85-91. [In Persian]
Hollingsworth, B., & Peacock, S. J. (2008). Efficiency measurement in health and health care. Routledge.
Hosseinian, S., & Maleki Pouya, J. (2014). Performance and efficiency evaluation of faculties of Amin Police University using data envelopment analysis method. Quarterly Journal of Social Order, 6 (4), 111-130. [In Persian]
Jiang, J., Lee, S. K., & Rah, M. J. (2020). Assessing the research efficiency of Chinese higher education institutions by data envelopment analysis. Asia Pacific Education Review, 21 (3), 423–440. https://doi.org/10.1007/s12564-020-09634-0
Johnes, G., & Tone, K. (2017). The efficiency of higher education institutions in England revisited: Comparing alternative measures. Tertiary Education and Management, 23 (3), 191–205. https://doi.org/10.1080/13583883.2016.1203457
Johnes, J. (2006). Data envelopment analysis and its application to the measurement of efficiency in higher education. Economics of Education Review, 25 (3), 273–288. https://doi.org/10.1016/j.econedurev.2005.02.005
Johnes, J., & Li, Y. U. (2008). Measuring the research performance of Chinese higher education institutions using data envelopment analysis. China Economic Review, 19 (4), 679–696. https://doi.org/10.1016/j.chieco.2008.08.004
Khajvand Salehi, Z., & Afshin, Z. (2016). Productivity measurement and ranking of research units using data envelopment analysis. Basparash Quarterly, 5 (17), 92-99. [In Persian]
Khodaei, M. B. (2015). Research performance evaluation of faculty members of the Research Institute of Forests and Rangelands and its affiliated centers using data envelopment analysis. Iranian Journal of Forest and Poplar Research, 23 (62), 680-693. [In Persian]
Kosor, M. M. (2013). Efficiency measurement in higher education: Concepts, methods and perspective. Procedia - Social and Behavioral Sciences, 106, 1031–1038. https://doi.org/10.1016/j.sbspro.2013.12.117
Kounetas, K., Androulakis, G., Kaisari, M., & Manousakis, G. (2023). Educational reforms and secondary school's efficiency performance in Greece: A bootstrap DEA and multilevel approach. Operational Research, 23 (1), Article 9. https://doi.org/10.1007/s12351-023-00745-1
Kuah, C. T., & Wong, K. Y. (2011). Efficiency assessment of universities through data envelopment analysis. Procedia Computer Science, 3, 499–506. https://doi.org/10.1016/j.procs.2010.12.084
Labijak-Kowalska, A., & Kadziński, M. (2021). Experimental comparison of results provided by ranking methods in data envelopment analysis. Expert Systems with Applications, 173, Article 114739. https://doi.org/10.1016/j.eswa.2021.114739
Lee, B. L., & Johnes, J. (2022). Using network DEA to inform policy: The case of the teaching quality of higher education in England. Higher Education Quarterly, 76 (2), 399–421. https://doi.org/10.1111/hequ.12362
Lee, B. L., & Johnes, J. (2024). Get the balance right: Lessons from UK higher education in managing environmental and economic performance. Studies in Higher Education, 49 (8), 1423–1445. https://doi.org/10.1080/03075079.2024.2351094
Lehmann, E., & Warning, S. (2002). Teaching or research? What affects the efficiency of universities (Discussion Paper No. 322). University of Konstanz, Department of Economics.
Lima, L. C. A. (2011). Pesquisa em eficácia escolar: Origem e trajetórias. Estudos em Avaliação Educacional, 22 (50), 593–612. https://doi.org/10.18222/eae225020111972
Liu, J. S., Lu, L. Y., Lu, W. M., & Lin, B. J. (2013). Data envelopment analysis 1978–2010: A citation-based literature survey. Omega, 41 (1), 3–15. https://doi.org/10.1016/j.omega.2010.12.006
Loganathan, M., & Subrahmanya, M. B. (2023). Efficiency of entrepreneurial universities in India: A data envelopment analysis. Journal of the Knowledge Economy, 14 (2), 1120–1144. https://doi.org/10.1007/s13132-022-00915-4
López-Martín, E., & Gaviria, J. L. (2016). Technical efficiency in education from value-added measures: An application to Spanish primary schools. Journal of Educational Measurement, 53 (3), 327–350. https://doi.org/10.1111/jedm.12116
Ma, Z., See, K. F., Yu, M.-M., & Zhao, C. (2021). Research efficiency analysis of China's university faculty members: A modified meta-frontier DEA approach. Socio-Economic Planning Sciences, 76, Article 100944. https://doi.org/10.1016/j.seps.2020.100944
Mahfouzpour, S., Pouragha, B., Abedi, Z., & Sattarivand, S. (2015). Efficiency evaluation of hospitals affiliated with Shahid Beheshti University of Medical Sciences in Tehran using data envelopment analysis. Journal of Health Promotion Management, 5 (1), 11-20. [In Persian]
Mahmudi, H., Ismail, M., Ananda, C. F., & Khusaini, M. (2014). An analysis of technical efficiency of education organizer: A case study at junior high school in Mataram City – West Nusa Tenggara. International Journal of Business and Management Invention, 3 (7), 23–32.
Mammadov, R., & Aypay, A. (2020). Efficiency analysis of research universities in Turkey. International Journal of Educational Development, 75, Article 102176. https://doi.org/10.1016/j.ijedudev.2020.102176
Martin, L. L. (2002). Comparing the performance of multiple human service providers using data envelopment analysis. Administration in Social Work, 26 (4), 45–60. https://doi.org/10.1300/J147v26n04_03
Mehregan, M. R. (2004). Quantitative models in organizational performance evaluation. Tehran University Faculty of Management Press. [In Persian]
Mohaghegh Nia, M. J., Ebrahimi, S. A., & Mehrabi, L. (2015). Efficiency evaluation of interest-free banking in Iran compared to other Islamic countries based on data envelopment analysis approach. Quarterly Journal of Economic Strategy, 4 (13), 111-139. [In Persian]
Mohallati Rayti, M. (2015). Investigating the effect of congestion on undesirable output using data envelopment analysis: A case study of university performance evaluation. Journal of Production and Operations Management, 6 (1), 99-112. [In Persian]
Moncayo–Martínez, L. A., Ramírez–Nafarrate, A., & Hernández–Balderrama, M. G. (2020). Evaluation of public HEI on teaching, research, and knowledge dissemination by data envelopment analysis. Socio-Economic Planning Sciences, 69, Article 100718. https://doi.org/10.1016/j.seps.2019.06.003
Navas, L. P., Montes, F., Abolghasem, S., Salas, R. J., Toloo, M., & Zarama, R. (2020). Colombian higher education institutions evaluation. Socio-Economic Planning Sciences, 71, Article 100801. https://doi.org/10.1016/j.seps.2020.100801
Nazarko, J. (2010). DEA method in efficiency assessment of public higher education institutions. https://api.semanticscholar.org/CorpusID:54200620
Nazarko, J., & Šaparauskas, J. (2014). Application of DEA method in efficiency evaluation of public higher education institutions. Technological and Economic Development of Economy, 20 (1), 25–44. https://doi.org/10.3846/20294913.2014.837116
Nigsch, S., & Schenker-Wicki, A. (2015). Frontier efficiency analysis in higher education. In I. M. Welpe, J. Wollersheim, S. Ringelhan, & M. Osterloh (Eds.), Incentives and performance: Governance of research organizations (pp. 155–170). Springer. https://doi.org/10.1007/978-3-319-09785-5_10
Nyhan, R. C., & Martin, L. L. (1999). Comparative performance measurement: A primer on data envelopment analysis. Public Productivity & Management Review, 22 (3), 348–364. https://doi.org/10.2307/3380706
Popović, M., Savić, G., Kuzmanović, M., & Martić, M. (2020). Using data envelopment analysis and multi-criteria decision-making methods to evaluate teacher performance in higher education. Symmetry, 12 (4), Article 563. https://doi.org/10.3390/sym12040563
Razavi, S. M., Shahriari, S. A., & Ahmadpour Daryani, M. (2015). Innovative performance evaluation of knowledge-based companies using network data envelopment analysis-game theory approach. Journal of Industry Management, 7 (19), 721-742. [In Persian]
Safdari Ranjbar, M., Khalili, M., Azami, A., & Sabzekar, A. (2013). Efficiency evaluation of universities and faculties from the perspective of knowledge production using data envelopment analysis (Case study: Amirkabir University of Technology). Journal of Operational Research and Its Applications, 10 (2), 61-76. [In Persian]
Salas-Velasco, M. (2020). The technical efficiency performance of the higher education systems based on data envelopment analysis with an illustration for the Spanish case. Educational Research for Policy and Practice, 19 (2), 159–180. https://doi.org/10.1007/s10671-019-09254-5
Salerno, C. S. (2003). What we know about the efficiency of higher education institutions: The best evidence. Center for Higher Education Policy Studies (CHEPS), University of Twente.
Samsubar Saleh. (2000). Data envelopment analysis (DEA): Konsep dasar. PAUSE UGM.
Santos Tavares, R., Angulo-Meza, L., & Parracho Sant'Anna, A. (2021). A proposed multi-stage evaluation approach for higher education institutions based on network data envelopment analysis: A Brazilian experience. Evaluation and Program Planning, 89, Article 101984. https://doi.org/10.1016/j.evalprogplan.2021.101984
Segovia-Gonzalez, M. M., Dominguez, C., & Contreras, I. (2020). An assessment of the efficiency of Spanish schools: Evaluating the influence of the geographical, managerial, and socioeconomic features. International Transactions in Operational Research, 27 (4), 1845–1868. https://doi.org/10.1111/itor.12711
Shoja, N., & Darvish Motavalli, M. H. (2015). Efficiency evaluation of research activities of Islamic Azad University units: A data envelopment analysis approach. Economic Modeling, 9 (32), 123-141. [In Persian]
Sinuany-Stern, Z., & Hirsh, A. (2021). The relative efficiencies of higher education in OECD countries. In Z. Sinuany-Stern (Ed.), Handbook of operations research and management science in higher education (pp. 481–512). Springer. https://doi.org/10.1007/978-3-030-74051-1_16
Thanassoulis, E., De Witte, K., Johnes, J., Johnes, G., Karagiannis, G., & Portela, C. S. (2016). Applications of data envelopment analysis in education. In J. Zhu (Ed.), Data envelopment analysis: A handbook of empirical studies and applications (pp. 367–438). Springer. https://doi.org/10.1007/978-1-4899-7684-0_12
Torres-Samuel, M., Vásquez, C. L., Luna, M., Bucci, N., Viloria, A., Crissien, T., & Manosalva, J. (2020). Performance of education and research in Latin American countries through data envelopment analysis (DEA). Procedia Computer Science, 170, 1023–1028. https://doi.org/10.1016/j.procs.2020.03.079
Wijesundara, W. M. T. H., & Prabodanie, R. R. (2022). Relative efficiencies of the state universities in Sri Lanka: Can they enroll more students? International Journal of Educational Management, 36 (7), 1284–1296. https://doi.org/10.1108/IJEM-12-2021-0489
Wolszczak-Derlacz, J. (2017). An evaluation and explanation of (in)efficiency in higher education institutions in Europe and the U.S. with the application of two-stage semi-parametric DEA. Research Policy, 46 (9), 1595–1605. https://doi.org/10.1016/j.respol.2017.07.010
Wyszynski, A. (2024). Efficiency of professional Polish volleyball clubs PlusLiga, Poland: Data envelopment analysis approach. Journal of Eastern Europe Research in Business and Economics, 2024, Article 746883. https://doi.org/10.5171/2024.746883
Yousefi Hajiabad, R. (2016). Evaluation of total factor productivity in Iran's manufacturing industries. Journal of Economic Policy, 8 (15), 153-175. [In Persian]
Zhao, H. H., Liu, Y., Li, J., Guo, X. G., & Gui, H. J. (2022). Chinese provincial difference in the efficiency of universities' scientific and technological activities based on DEA with shared input. Mathematical Problems in Engineering, 2022 (1), Article 8319498. https://doi.org/10.1155/2022/8319498
Zhu, J. (2014). Quantitative models for performance evaluation and benchmarking: Data envelopment analysis with spreadsheets (3rd ed.). Springer. https://doi.org/10.1007/978-3-319-06647-9
Zuluaga, R., Camelo-Guarín, A., & De La Hoz, E. (2023). Assessing the relative impact of Colombian higher education institutions using fuzzy data envelopment analysis (Fuzzy-DEA) in state evaluations. Journal on Efficiency and Responsibility in Education and Science, 16 (4), 299–312. https://doi.org/10.7160/eriesj.2023.160404
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