ارائه مدلی بر پایه مدل پروفایل کارایی ورودی جهت ارزیابی کیفیت عملکرد مراکز آموزش عالی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار، گروه مهندسی صنایع، دانشکده فنی و مهندسی، دانشگاه اراک، اراک، ایران

2 دانشجوی دکتری، گروه مهندسی صنایع، دانشکده فنی و مهندسی، دانشگاه فردوسی مشهد، مشهد، ایران

چکیده

مراکز آموزش عالی محور توسعه پایدار اجتماعی، اقتصادی، سیاسی، فرهنگی و علمی جوامع بشری می‌باشند؛ در نتیجه ارزیابی کارایی آنها توجه فراوانى را در سطح بین‌المللى به خود معطوف نموده است. مدل‌های تحلیل پوششی داده‌ها (DEA) به سبب خصوصیات و مزایای ویژه‌اشان از مؤفق‌ترین، کارآمدترین و کاربردی‌ترین تکنیک‌های سنجش کارایی هستند. مدل‌های DEA علاوه بر سنجش کارایی نسبی، قادر به ارائه برنامه‌ریزی‌های لازم جهت بهبود کارایی نیز می‌باشند. از این‌رو تاکنون تحقیقات بسیاری از مدل‌های DEA جهت سنجش کارایی مراکز آموزش عالی بهره گرفته‌اند. در این پژوهش نیز به‌منظور سنجش کیفیت عملکرد مراکز آموزش عالی، از یکی از مدل‌های DEA به‌نام مدل پروفایل کارایی ورودی (IEP) بهره گرفته شده است. مدل پیشنهادی یک مدل ارزیابی جدید به‌نام مدل پروفایل کارایی ورودی بهبود یافته – ابرکارایی SE) –IIEP ) می‌باشد که عملکرد مدل IEP را از طریق رفع برخی نواقص آن بهبود بخشیده است. از طریق یک مثال‌ عددی و مقایسه مدل پیشنهادی با سایر مدل‌های DEA نشان داده شده است که مدل پیشنهادی از اعتبار لازم و عملکرد مطلوبی برخوردار است.‌ به‌منظور برنامه‌ریزی جهت دستیابی به کارایی واحدهای ناکارا، واحدهای الگو و مرجع و میزان تغییر لازم در معیارهای ورودی و خروجی برای هر واحد ناکارا نیز تعیین گردیده است.

کلیدواژه‌ها


عنوان مقاله [English]

Providing a model based on input efficiency profile model to evaluate the performance quality of higher education centers

نویسندگان [English]

  • ehsan mansouri 1
  • leyla fazli 2
1 Assistant Professor, Department of Industrial Engineering, Faculty of Engineering, Arak University, Arak, Iran
2 PhD Student, Department of Industrial Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
چکیده [English]

Higher education centers are the axis of the sustainable social, economic, political, cultural, and scientific development of human societies; as a result, their efficiency evaluation has attracted a lot of attention at the international level. Data envelopment analysis models (DEA) are one of the most successful, efficient and practical efficiency measurement techniques due to their special features and advantages. DEA models, in addition to measuring relative efficiency, are also able to provide the necessary planning to improve efficiency. Hence, so far, a lot of research has used DEA models to measure the efficiency of higher education centers. In this study, in order to measure the quality of performance of higher education centers, one of the DEA models called Input efficiency profiling model (IEP) has been used, as well. The proposed model is a new evaluation model called Improved input efficiency profiling – Super efficiency model (IIEP – SE), which has improved the performance of IEP model by addressing some of its shortcomings. It has been shown by a numerical example and comparing the proposed model with other DEA models that the proposed model has necessary reliability and desirable performance. In order to plan for achieving the efficiency of the inefficient units, pattern and reference units and the amount of necessary change in the input and output criteria for each of the inefficient units have also been determined.

کلیدواژه‌ها [English]

  • Performance quality assessment
  • Higher education centers
  • Data envelopment analysis models (DEA)
  • Improved input efficiency profiling – Super efficiency model (IIEP – SE)
[1]          Fitzpatrick, J. L., Worthen, B. R., & Sanders, J. R. Program evaluation: alternative approaches and practical guidelines, Boston: Pearson/Allyn and Bacon, 2004.
[2]          Azar, A., & Torkashvand, A. R. Assessing the teaching researching performance with the help of data envelopment analysis model: teaching groups of humanity sciences faculty, Tarbiat Modares University. Management Research in Iran, 10 (1), 2006, 1 – 23. (In Persian)
[3]          Alem Tabriz , A., Saiedy, H., & Deilami Moezi, S. Using composed approach of DEA and AHP for efficiency evaluation faculties of Shahid Beheshti University, Journal of Future Studies Management, 22 (89), 2011, 25 – 36. (In Persian)
[4]          Lee, B. L. Efficiency of research performance of Australian Universities: a reappraisal using a bootstrap truncated regression approach, Economic Analysis & Policy, 41 (3), 2011, 195 – 203.
[5]          Andersson, C., Antelius, J., Månsson, J., & Sund, K. Technical efficiency and productivity for higher education institutions in Sweden, Scandinavian Journal of Educational Research, 61 (2), 2017, 205 – 223.
[6]          Shoja, N., Fallah Jelodar, M., & Darvish Motavli, M. H. Efficiency determination of units in district 12 of Islamic Azad University using a multi – component model in data envelopment analysis, Journal of Operational Research in its Applications, 8 (2), 2011, 11 – 28. (In Persian)
[7]          Pakzad, A. Data envelopment analysis model adaptation in evaluating the performance of the educational system (Case study: departments of Shahid Bahonar University of Kerman). Master thesis, Department of Industrial Engineering, Faculty of Engineering, Shahid Bahonar University of Kerman, Iran, 2012. (In Persian)
[8]          Abzari, M., Baloei Jamkhaneh, H., Khazaei Pool, J., & Pour Mostafa Khoshkroudi, M. Performance evaluation of public university departments using DEA and SWOT models and structural equations and strategic strategies presentation to improve efficiency, Journal of Operational Research and Its Applications, 10 (1),  2013, 19 – 41. (In Persian)
[9]          Çınar, Y. Research and teaching efficiencies of Turkish universities with heterogeneity considerations: Application of multi – activity DEA and DEA by sequential exclusion of alternatives methods, Working Paper, Higher School of Economics WP Series, 2013, 24 Pages.
[10] Johnes, G. Efficiency in English higher education institutions revisited: a network approach, Economics Bulletin, 33 (4), 2013, 2698 – 2706.
[11] Saniee Monfared, M. A., & Safi, M. Network DEA: an application to analysis of academic performance, Journal of Industrial Engineering International, 9 (15), 2013, 1 – 10.
[12] Khodabakhshi, M., & Kheirollahi, H. Performance evaluation of Iran universities with Stochastic Data Envelopment Analysis (SDEA), Int. J. Data Envelopment Analysis, 1 (1), 2013, 7 – 13.
[13] Shahriari, S. A., Razavi, S. M., & Asgharizadeh, E. A. (2013). Fuzzy data envelopment analysis and a new approach FIEP / AHP for full ranking of decision making units: a case study of humanities faculty of Tehran University, Industrial Management Journal, 5 (1), 21 – 42. (In Persian)
[14] Hung Do, Q., & Chen, J. F. A hybrid fuzzy AHP – DEA approach for assessing university performance, WSEAS Transactions on Business and Economics, 11, 2014, 386 – 397.
[15] Payan, A., & Rahmani Parchicolaie, B. Performance evaluation of universities as groups of decision making units, International Journal of Mathematical, Computational, Natural and Physical Engineering, 8 (4), 2014, 659 – 665.
[16] Ruiz, J. L., Segura, J. V., & Sirvent, I. Benchmarking and target setting with expert preferences: An application to the evaluation of educational performance of Spanish universities, European Journal of Operational Research, 242, 2015, 594 – 605.
[17] Zhang, L., & Luo, Y. Evaluation of input output efficiency in higher education based on data envelope analysis, International Journal of Database Theory and Application, 9 (5), 2016, 221 – 230.
[18] Azizi, H.,  Amirteimoori, A. R. Flexible measures in production process: a new approach based on double –frontier DEA, Modern Research in Decsion Making, 2 (2), 2017, 197 – 216. (In Persian)
[19] Torre, E. M. D. L., Gómez–Sancho, J. M., & Perez – Esparrells, C. Comparing university performance by legal status: a malmquist–type index approach for the case of the Spanish higher education system, Tertiary Education and Management, 23 (3), 2017, 206 – 221.
[20] Gnewuch, M., & Wohlrabe, K. Super – efficiency of education institutions: an application to economics departments, Education Economics, 26 (6), 2018, 610 – 623.
[21] Villano, R. A., & Tran, C. D. T. T. Performance of private higher education institutions in Vietnam: evidence using DEA – based bootstrap directional distance approach with quasi – fixed inputs, Applied Economics, 50 (55), 2018, 5966 – 5978.
[22] Taleb, M., Khalid, R., & Ramli, R. Estimating the return to scale of an integer –valued data envelopment analysis model: efficiency assessment of a higher education institution, Arab Journal of Basic and Applied Sciences, 26 (1), 2019, 144 – 152.
 [23] Navas, L. P., Montes, F., Abolghasem, S., Salas, R. J., Toloo, M., & Zarama, R. Colombian higher education institutions evaluation, Socio – Economic Planning Sciences, 71, 2020, 100801.
 [24] Agasisti, T., Egorov, A., Zinchenko, D., & Leshukov, O. Efficiency of regional higher education systems and regional economic short – run growth: empirical evidence from Russia, Industry and Innovation, 28 (4), 2021, 507 – 534. 
 [25] Ghimire, S., Hassanzadeh Amin, S., & Wardley, L. J. Developing new data envelopment analysis models to evaluate the efficiency in Ontario Universities, Journal of Informetrics, 15 (3), 2021, 101172.
[26] Nojavan, M., Heidari, A., & Mohammaditabar, D. A fuzzy service quality based approach for performance evaluation of educational units, Socio – Economic Planning Sciences, 73, 2021, 100816.
[27]  Taghavifard, M. T., Amiri, M., Mozafar, R. Measuring the managerial efficiency of bank branches: a three –stage DEA analysis (In Melli Bank of Iran), Modern Research in Decsion Making, 2 (1), 2017, 51 – 71. (In Persian)
[28] Kazemi, M., & Nikkhah Farkhani, Z. Application of Data Envelopment Analysis in measuring analyzing relative efficiency of wheat cultivation: case of Khorasan Razavi, Agricultural Economics & Development, 23 (2), 2009, 87 – 94. (In Persian)
[29] Charnes, A., Cooper, W. W., & Rohdes, E. Measuring the efficiency of decision making units, European Journal of Operational Research, 2 (6), 1978, 429 – 444.
[30] Azar, A., & Motameni, A. R. Designing a productivity dynamics model with data envelopment analysis approach, Management Research in Iran, 7 (3), 2003, 1 – 22. (In Persian)
[31] Arab Mazar, F. DEA versus other performance measurement techniques, 3rd Conference on Data Envelopment Analysis, Firuzkuh Islamic Azad University, Tehran, Iran, 2011. (In Persian)
 [32] Safari, S., Ebrahimi Shaghaghi, M., Sheikh, M. J. Managing the credit risk of the bank's clients in commercial banks DEA Approach (Credit Rating), Management Research in Iran, 14 (4), 2011, 137 – 164. (In Persian)
[33] Adila, A. Predictors of university academic performance in Colombia instituto colombiano de neuropsicologia. Bogota, Colombia, International Journal of Educational Research, 35, 2001, 411 – 417.
[34] Tofillis, C. Input efficiency profiling: an application to airlines, Computers & Operations Research, 24 (3), 1997, 253 – 258.
[35] Andersen, P., & Petersen, N. C. A procedure for ranking efficient units in data envelopment analysis, Management Science, 39 (10), 1993, 1261 – 1264.
[36] Barzegarinegad, A., Jahanshahloo, G., & Rostamy – Malkhalifeh, M. Full ranking for decision making units using ideal and anti – ideal points in DEA, The Scientific World Journal, 2014 (1), 2014, 282939 .
[37] Saati Mohtadi, S., Payan, A., & Kord, A. Ranking alternatives in multi – criteria decision analysis using common weights based on ideal and anti – ideal frontiers, World Academy of Science, Engineering and Technology, 6 (8), 2012, 285 – 289.
[38] Shayesteh, A. R. & Saati Mohtadi, S.  Some methods to rank DMU by CSW in DEA, 3rd Conference on Data Envelopment Analysis, Firuzkuh Islamic Azad University, Tehran, Iran, 2011. (In Persian)