IDEAS home Printed from https://ideas.repec.org/h/wsi/wschap/9789814407724_0004.html
   My bibliography  Save this book chapter

Dea — Data Envelopment Analysis: Models, Methods And Applications

In: Quantitative Modelling In Marketing And Management

Author

Listed:
  • Alex Manzoni

    (CSES/Victoria Graduate School of Business, Victoria University, 300 Flinders St, MELBOURNE VIC 3000, Australia)

  • Sardar M.N. Islam

    (Centre for Strategic Economic Studies, Victoria University, 300 Flinders St, MELBOURNE VIC 3000, Australia)

Abstract

Data employment analysis is a non-parametric optimisation technique for the assessment of productivity when expressed as an input–output ratio. Decision making units (DMU) are established as discrete units of observation located on or near the piecewise frontier. Each DMU is measured as virtual input–virtual output calculation of efficiency. The study needs many DMUs so that the model can discriminate between them and assign the best rating of 100%. This is the benchmark against which all the others are ranked. Variations to the model are possible. These include constant increasing and decreasing returns to scale. There are a number of strenghts to this model with the absence of the need for an absolute efficiency as the theoretical maximum to compare against. It has been widely applied and can be partnered with other quantitative techniques.

Suggested Citation

  • Alex Manzoni & Sardar M.N. Islam, 2012. "Dea — Data Envelopment Analysis: Models, Methods And Applications," World Scientific Book Chapters, in: Luiz Moutinho & Kun-Huang Huarng (ed.), Quantitative Modelling In Marketing And Management, chapter 4, pages 79-89, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789814407724_0004
    as

    Download full text from publisher

    File URL: https://www.worldscientific.com/doi/pdf/10.1142/9789814407724_0004
    Download Restriction: Ebook Access is available upon purchase.
    File URL: https://www.worldscientific.com/doi/abs/10.1142/9789814407724_0004
    Download Restriction: Ebook Access is available upon purchase.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:wsi:wschap:9789814407724_0004. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscientific.com/page/worldscibooks .

    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.