CFP last date
22 April 2024
Reseach Article

Performance evaluation for Egyptian’s Computers and Information Faculties: Using a Stochastic Input Oriented Data Envelopment Analysis Model

by Basma E. El-demerdash, Ihab A. El-khodary, Assem A. Tharwat
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 89 - Number 5
Year of Publication: 2014
Authors: Basma E. El-demerdash, Ihab A. El-khodary, Assem A. Tharwat
10.5120/15500-4205

Basma E. El-demerdash, Ihab A. El-khodary, Assem A. Tharwat . Performance evaluation for Egyptian’s Computers and Information Faculties: Using a Stochastic Input Oriented Data Envelopment Analysis Model. International Journal of Computer Applications. 89, 5 ( March 2014), 36-42. DOI=10.5120/15500-4205

@article{ 10.5120/15500-4205,
author = { Basma E. El-demerdash, Ihab A. El-khodary, Assem A. Tharwat },
title = { Performance evaluation for Egyptian’s Computers and Information Faculties: Using a Stochastic Input Oriented Data Envelopment Analysis Model },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 89 },
number = { 5 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 36-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume89/number5/15500-4205/ },
doi = { 10.5120/15500-4205 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:09:01.009690+05:30
%A Basma E. El-demerdash
%A Ihab A. El-khodary
%A Assem A. Tharwat
%T Performance evaluation for Egyptian’s Computers and Information Faculties: Using a Stochastic Input Oriented Data Envelopment Analysis Model
%J International Journal of Computer Applications
%@ 0975-8887
%V 89
%N 5
%P 36-42
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data Envelopment Analysis (DEA) is a great approach used for measuring relative efficiencies and performance of a collection of Decision Making Units (DMUs). These used in the various forms, such as hospitals, universities, air force, banks, courts, business firms, and others, including the performance of countries, regions, etc. One of the earliest applications of DEA called Education. It was an ideal introduction for DEA because it typically deals with comparisons of many similar and autonomous 'non-profit' entities described by inputs and outputs. Therefore, education served to test and validate DEA as a tool for analysis and decision support. Recently DEA has been extended to examine the efficiency of Higher Education operations. In this paper, a Stochastic Input Oriented Data Envelopment Analysis (SIODEA) Model is conducted for the comparison of evaluating the relative efficiency scores of Faculties of Computers and Information (FCIs) each with some of inputs are stochastic with normally distributed, recent inputs are deterministic and outputs.

References
  1. Kelly, U. , McNicoll, I. , & McLellan, D. (2004). "The economic impact of UK higher education institutions". University of Strathclyde.
  2. Athanassopoulos, A. D. , and Shale, E. (1997). Assessing the comparative efficiency of Higher Education Institutions in the UK by the means of Data Envelopment Analysis. Education Economics, 5(2), 117-134.
  3. Chu Ng, Y. , and Li, S. K. (2000). Measuring the research performance of Chinese higher education institutions: an application of data envelopment analysis. Education Economics, 8(2), 139-156.
  4. Avkiran, N. K. (2001). "Investigating technical and scale efficiencies of Australian universities through data envelopment analysis. " Socio-Economic Planning Sciences, 35(1): 57-80.
  5. Abbott, M. , and Doucouliagos, C. (2003). "The efficiency of Australian universities: a data envelopment analysis. " Economics of Education review, 22(1): 89-97.
  6. Taylor, B. & Harris, G. , (2004), "Relative efficiency among South African universities: a data envelopment analysis". Higher Education, 47(1): 73-89.
  7. Duh, R. R. , and Kuo, J. S. (2006). "Law and university efficiency: The amendment of the university law in Taiwan. " Proceedings of the 2006 Joint Conference on Information Sciences.
  8. Worthington, A. C. , and Lee, B. L. (2008). "Efficiency, technology and productivity change in Australian universities, 1998-2003. " Economics of Education Review, 27(3): 285-298.
  9. Afonso, A. , and Santos, M. (2008). "A DEA approach to the relative efficiency of Portuguese public universities. " Portuguese Journal of Management Studies 13(1): 67-88.
  10. Johnes, J. , and Yu, L. (2008). "Measuring the research performance of Chinese higher education institutions using data envelopment analysis. " China Economic Review, 19(4): 679-696.
  11. Agasisti, T. , and P?rez-Esparrells, C. , (2010). "Comparing efficiency in a cross-country perspective: the case of Italian and Spanish state universities". High Education, 59(1): 85-103.
  12. Awadz, A. S. , Ramasamy, R. , Akhir, R. M. , & Loy, C. K. (2012). "Performance Evaluation of Faculties at A Private University A Data Envelopment Analysis Approach". Global Journal of Management and Business Research, 12(9).
  13. Stern, Z. S. , Mehrez, A. , and Barboy, A. (1994). "Academic departments efficiency via DEA. " Computers and Operations Research 21(5): 543-556.
  14. Johnes, J. , and Johnes, G. (1995). "Research funding and performance in UK university departments of economics: a frontier analysis. " Economics of Education Review 14(3): 301-314.
  15. Lopes, A. L. M. , and Lanzer, E. A. (2002). "Data envelopment analysis-DEA and fuzzy sets to assess the performance of academic departments: a case study at Federal University of Santa Catarina-UFSC", Pesquisa Operacional, 22(2): 217-230.
  16. Martin, E. (2006). "Efficiency and Quality in the Current Higher Education Context in Europe: an application of the data envelopment analysis methodology to performance assessment of departments within the University of Zaragoza. " Quality in higher education, 12(1): 57-79.
  17. Köksal, G. , and Nal?aci, B. , (2006). "The relative efficiency of departments at a Turkish engineering college: a data envelopment analysis", Higher Education, 51(2): 173 – 189.
  18. Kao, C. , and Hung, H. T. (2008). "Efficiency analysis of university departments: An empirical study. " Omega, 36(4): 653-664.
  19. Tyagi, P. , Yadav, S. P. , and Singh, SP. (2009). "Relative performance of academic departments using DEA with sensitivity analysis. " Evaluation and Program Planning, 32(2): 168-177.
  20. Charnes, A. , Cooper, W. W. and Rhodes, E (1987). "Measuring the efficiency of decision making units". European Journal of Operational Research, 2(6): 429-444.
  21. Banker, R. D. , Charnes, A. , and Cooper, W. W. (1984). "Some models for estimating technical and scale inefficiencies in data envelopment analysis. " Management science, 30(9): 1078-1092.
  22. El-Demerdash, B. E. , El-Khodary, I. A. , and Tharwat, A. A. (2013). "Developing a Stochastic Input Oriented Data Envelopment Analysis (SIODEA)" Model. International Journal, 4(4): 40-44.
Index Terms

Computer Science
Information Sciences

Keywords

Stochastic Data Envelopment Analysis Higher Education Stochastic Variables Evaluating Performance Efficiency Measurement.