IDEAS home Printed from https://ideas.repec.org/a/ora/journl/v1y2015i1p742-748.html
   My bibliography  Save this article

Importance Of Applying Data Envelopment Analysis In Case Of Higher Educational Institutions

Author

Listed:
  • Labas Istvan

    (University of Debrecen, Faculty of Economics and Business)

Abstract

Today, the saying predominates better and better according to which a strong target rationalism has to characterize the higher educational institutions due to the scarce resources and the limitlessness of user demands. Now in Hungary, the funding of higher educational system goes through a total transformation thus the leadership has continuously to reckon with the changes of environment and, in tune with these ones, has to modify the goals existing already. Nowadays, it becomes more and more important to measure the effectiveness of the organizations – organizational units pursuing the same or similar activities relative to each other. Benchmarking helps this procedure. Benchmarking is none other than such a tool of analysis and planning which allows comparing the organizations with the best of the competitors. Applying the method with regard to the higher educational institutions is really nothing but a procedure which focuses on comparing processes and results of the institutions’ different functional areas in order to bring to light the opportunities for the rationality as well as the quality and performance improvement. Those benefits could be managed and used as breakthrough possibilities which have been already developed/applied by other organizations and are given by the way leading to a more effective management.The main goal of my monograph is to show a kind of application of Data Envelopment Analysis (DEA) method in the higher education. DEA itself is a performance measuring methodology which is a part of benchmarking and uses the linear programming as a method. By means of its application, the effectiveness of different decision-making units can be compared numerically. In our forcefully varying environment, the managerial decision making can be largely supported in each case by such information that is numerically able to identify which organizational units and activities are effective or less effective. Its advantage is that there is no need to know any of the function-like relations itself for applying this method. The method interprets the effectiveness as a quotient which is defined by the inputs used in the functioning and the outputs arisen from the inputs. The method is already applied in other countries because, beyond its main benefit (being able to work with small element number), it is also suitable for measuring effectiveness of the non-profit sector. In spite of this, DEA methodology has not been really wide-spread in our country yet. The performance measurement forms an important part of the institutions’ everyday operation since the resources are barely available and a targeted effective utilization helps to maintain a long-term and competitive functioning in the future.

Suggested Citation

  • Labas Istvan, 2015. "Importance Of Applying Data Envelopment Analysis In Case Of Higher Educational Institutions," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 742-748, July.
  • Handle: RePEc:ora:journl:v:1:y:2015:i:1:p:742-748
    as

    Download full text from publisher

    File URL: http://anale.steconomiceuoradea.ro/volume/2015/n1/084.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    2. Andrei Shleifer, 1985. "A Theory of Yardstick Competition," RAND Journal of Economics, The RAND Corporation, vol. 16(3), pages 319-327, Autumn.
    3. H. David Sherman & George Ladino, 1995. "Managing Bank Productivity Using Data Envelopment Analysis (DEA)," Interfaces, INFORMS, vol. 25(2), pages 60-73, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bogetoft, Peter & Nielsen, Kurt, 2003. "Yardstick Based Procurement Design In Natural Resource Management," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25910, International Association of Agricultural Economists.
    2. Samet Güner & Erman Coşkun, 2016. "Determining the best performing benchmarks for transit routes with a multi-objective model: the implementation and a critique of the two-model approach," Public Transport, Springer, vol. 8(2), pages 205-224, September.
    3. Harald Dyckhoff & Katrin Allen, 1999. "Theoretische Begründung einer Effizienzanalyse mittels Data Envelopment Analysis (DEA)," Schmalenbach Journal of Business Research, Springer, vol. 51(5), pages 411-436, May.
    4. D. Giannakis & T. Jamasb & M. Pollitt, 2003. "Benchmarking and Incentive Regulation of Quality of Service: an Application to the UK Electricity Distribution Utilities," Working Papers EP35, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    5. Kerstens, Kristiaan & Sadeghi, Jafar & Toloo, Mehdi & Van de Woestyne, Ignace, 2022. "Procedures for ranking technical and cost efficient units: With a focus on nonconvexity," European Journal of Operational Research, Elsevier, vol. 300(1), pages 269-281.
    6. Hokey Min & Hyesung Min & Seong Jong Joo, 2007. "A data envelopment analysis on assessing the competitiveness of Korean hotels," The Service Industries Journal, Taylor & Francis Journals, vol. 29(3), pages 367-385, November.
    7. Blázquez-Gómez, Leticia & Grifell-Tatjé, Emili, 2011. "Evaluating the regulator: Winners and losers in the regulation of Spanish electricity distribution," Energy Economics, Elsevier, vol. 33(5), pages 807-815, September.
    8. Shimshak, Daniel G. & Lenard, Melanie L. & Klimberg, Ronald K., 2009. "Incorporating quality into data envelopment analysis of nursing home performance: A case study," Omega, Elsevier, vol. 37(3), pages 672-685, June.
    9. Oliver Tiemann & Jonas Schreyögg, 2012. "Changes in hospital efficiency after privatization," Health Care Management Science, Springer, vol. 15(4), pages 310-326, December.
    10. Walczuch, R.M. & Bielowski, A.G., 2002. "From measurement to management: the influence of IT on service operations," Research Memorandum 045, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    11. Giokas, Dimitris I., 2008. "Assessing the efficiency in operations of a large Greek bank branch network adopting different economic behaviors," Economic Modelling, Elsevier, vol. 25(3), pages 559-574, May.
    12. Facanha, Luis Otavio & Resende, Marcelo, 2004. "Price cap regulation, incentives and quality:: The case of Brazilian telecommunications," International Journal of Production Economics, Elsevier, vol. 92(2), pages 133-144, November.
    13. Giannakis, Dimitrios & Jamasb, Tooraj & Pollitt, Michael, 2005. "Benchmarking and incentive regulation of quality of service: an application to the UK electricity distribution networks," Energy Policy, Elsevier, vol. 33(17), pages 2256-2271, November.
    14. Per J. Agrell & Mehdi Farsi & Massimo Filippini & Martin Koller, 2013. "Unobserved heterogeneous effects in the cost efficiency analysis of electricity distribution systems," Working Papers 0038, Swiss Economics.
    15. Michael Hellwig & Dominik Schober & Luis Cabral, 2018. "Incentive Regulation: Evidence From German Electricity Networks," Working Papers 18-03, New York University, Leonard N. Stern School of Business, Department of Economics.
    16. Walczuch Rita & Bielowski Alexander, 2002. "From Measurement to Management: the Influence of IT on Service Operations," Research Memorandum 073, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    17. Canay, Iván, 2002. "Eficiencia y Productividad en Distribuidoras Eléctricas: Repaso de la Metodología y Aplicación," UADE Textos de Discusión 35_2002, Instituto de Economía, Universidad Argentina de la Empresa.
    18. Resende, Marcelo, 2002. "Relative efficiency measurement and prospects for yardstick competition in Brazilian electricity distribution," Energy Policy, Elsevier, vol. 30(8), pages 637-647, June.
    19. Jamasb, Tooraj & Pollitt, Michael & Triebs, Thomas, 2008. "Productivity and efficiency of US gas transmission companies: A European regulatory perspective," Energy Policy, Elsevier, vol. 36(9), pages 3398-3412, September.
    20. Sarkis, Joseph & Talluri, Srinivas, 2004. "Performance based clustering for benchmarking of US airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(5), pages 329-346, June.

    More about this item

    Keywords

    Universities; Benchmarking; Data Envelopment Analysis; Efficiency;
    All these keywords.

    JEL classification:

    • H80 - Public Economics - - Miscellaneous Issues - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ora:journl:v:1:y:2015:i:1:p:742-748. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catalin ZMOLE (email available below). General contact details of provider: https://edirc.repec.org/data/feoraro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.