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A Comparative Analysis of Window Width Selection Technique in Data Envelopment Analysis

by Ahmad A. Maidamisa, Rohanin Ahmad, Abdul. A. M. Ismail
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 41 - Number 5
Year of Publication: 2012
Authors: Ahmad A. Maidamisa, Rohanin Ahmad, Abdul. A. M. Ismail
10.5120/5537-7589

Ahmad A. Maidamisa, Rohanin Ahmad, Abdul. A. M. Ismail . A Comparative Analysis of Window Width Selection Technique in Data Envelopment Analysis. International Journal of Computer Applications. 41, 5 ( March 2012), 21-26. DOI=10.5120/5537-7589

@article{ 10.5120/5537-7589,
author = { Ahmad A. Maidamisa, Rohanin Ahmad, Abdul. A. M. Ismail },
title = { A Comparative Analysis of Window Width Selection Technique in Data Envelopment Analysis },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 41 },
number = { 5 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 21-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume41/number5/5537-7589/ },
doi = { 10.5120/5537-7589 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:28:50.135145+05:30
%A Ahmad A. Maidamisa
%A Rohanin Ahmad
%A Abdul. A. M. Ismail
%T A Comparative Analysis of Window Width Selection Technique in Data Envelopment Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 41
%N 5
%P 21-26
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The aim of this paper is to develop a methodology for the selection of window width in Data Envelopment Analysis (DEA). Analytical hierarchal process (AHP) is employed to achieve that purpose. Using panel data, the selected width is experimented with factual data, and results show robustness to efficiency assessment. This paper is the first to use AHP approach in the selection of a window width in DEA window analysis.

References
  1. Charnes, A. , Clark, A. T. , Cooper, W. , and Golany, B. , 1985a. A Developmental Study of Data Envelopment Analysis in Measuring the Efficiency of Maintenance units in the US Air forces. Annals of Operations Research, 2, 95-112.
  2. Asmild, M. , Joseph, C. , Vanita, A, and Claire, S. , 2004. Combining DEA window analysis with the Malmquist index approach in a study of the Canadian Banking Industry. Journal of Productivity Analysis 21, 67-89.
  3. Yang, H. , and Chang, C. , 2009. Using DEA Window Analysis to Measure Efficiencies of Taiwan's Integrated Telecommunication firms. Telecommunications Policy, 33, 98-108.
  4. Weyman-Jones, G. , 1991. Productive Efficiency in Regulated Industry: The Area Electricity Boards of England and Wales. Energy Economics, 3,116-122.
  5. Charnes, A. , Cooper, W. , Golany, B. , Seiford, L. M. , and Stutz, J. 1985b. Foundation of Data Envelopment Analysis for Pareto-Koopmans Efficient Empirical Production Functions. Journal of Econometrics. 30, 1-17.
  6. Farrell, M. J. , 1957. The Measurement of Productive Efficiency. Journal of Royal Statistical Society, 120(3), 253-290.
  7. Charnes, A. , Cooper, W. , and Rhodes, E. Measuring the Efficiency of Decision Making Units. European Journal of Operations Research, 2(6), 429-444.
  8. Hartman, T. , and Storbeck, J. , 1996. Input Congestion in Loan Operations. International Journal of Production Economics, 46(7), 413-421.
  9. Itoh, H. , 2002. Efficiency Changes at Major Container Ports in Japan: A window Application of Data Envelopment Analysis. In: Conference. RURDS. The Applied Regional Science Conference, Blackwell, UK, 133-154.
  10. Reisman, A. , Daouas, M. , Oral, M. , Rebai, S. , and Gatoufi, S. 2003. Impact of Deregulation on Technical and Scale efficiencies of Tunisian Commercial Banks: WindowExtended Data Envelopment Analysis. Techincal Rept. Working Paper. Faculte des sciences Economiques et de Gestion de Tunis Universte El Manar, Tunisie.
  11. Webb, R. , 2003. Levels of Efficiency in UK Retails Banks: A DEA Window Analysis. International Journal of Economics and Business, 10(3), 305-322.
  12. Avikiran, N. , 2004. Decomposing Technical Efficiency and Window Analysis. Studies in Economics and Finance. 22(1),61-91.
  13. Cullinane, K. , Song, D. , and Wang, F. , 2004. Application of DEA window Analysis to Container Port Production Efficiency. Review of Network Economy, 32, 184-206.
  14. Sufian, F. , 2006. Trend in the Efficiency of Publicly listed Malaysian Commercial Banks overtime: A Non Parametric DEA window analysis approach. Banks and Banks System, 1(2), 144-167.
  15. Sufian, F. , 2007. Trend in the Efficiency of Singapore's Commercial Banking groups: A Non Stochastic frontier DEA window analysis approach. International Journal of Productivity and Performance Management, 56(2), 99-136.
  16. Al-Eraqi, A. , Mustafa, A. , and Khader, A. 2010. An Extended DEA Window Analysis: Middle East and East African Seaports. Journal of Economics Studies, 37(2), 208-218.
  17. Pulina, M. , Detotto, C. , and Paba, A. , 2010. An Investigation into the relationship between size and efficiency of the Scale efficiencies of the Italian Hospitality Sector: A Window DEA approach. European Journal of Operations Research, 204, 613-620.
  18. Carbone, T. D. , 2000. Measuring Efficiency of Semiconductor Manufacturing Operations Using Data Envelopment Analysis (DEA). In Conference RWS. IEEE/Semi Advanced Semiconductor Manufacturing Conference, Springer, US, 56-62.
  19. Sufian, F. , and Majid, M. , 2007. Singapore's Banking efficiency and its Relation to stock returns: A DEA window analysis approach. International Journal of Business Studies, 15(1), 83-106.
  20. Keh, T. , Chu, S. , and Xu, J. , 2006. Efficiency, Effectiveness and Productivity of Marketing in Services. European Journal of Operations Research, 170, 265-276.
  21. Ross, A. , Droge, C. , 2001. An Integrated Benchmarking Approach to Distribution center performance using DEA Modelling. Journal of Operations Management, 20, 19-32.
  22. Min, H. , Min, H. , and Joo, S. , 2008. A Data Envelopment Analysis- Based Balanced Scorecard for Measuring the Comparative Efficiency of Korean Luxury Hotels. International Journal of Quality and Reliability Management, 25, 349-365.
  23. Neves, J. , and Lourenco, S. , 2009. Using Data Envelopment Analysis to select Strategies that improve the performance of Hotels Companies. International Journal of Contemporary Hospitality Management, 21(6), 698-712.
  24. Banker, R. D. , Chanes, A. , and Cooper, W. , 1984. Some Model for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30, 1078-1092.
  25. Suruhayja, G. , 2009. Annual Report, Tenega Nasional Berhad.
  26. Cooper, W. , Seiford, L. M. , and Tone, K. , 2007. Data Envelopment Analysis: A Comprehensive Text with Models Applications, 2nd Edition. Springer Science, New York.
  27. Dyson, R. , Allen, R. , Camanho, A. , Podinovski, V. , Sarrico, C. , and Shale, E. , 2001. Pitfalls and Protocols in DEA. European Journal of Operations Research, 132, 245-259.
  28. Smith, P. , 1997. Model Misspecification in Data Envelopment Analysis. Annals of Operations Research, 73, 233-252.
Index Terms

Computer Science
Information Sciences

Keywords

Data Envelopment Analysis Window Analysis Efficiency

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