IDEAS home Printed from https://ideas.repec.org/a/ids/ijbexc/v7y2014i5p601-625.html
   My bibliography  Save this article

International market ranking using enhanced imprecise dual-role MAJ model

Author

Listed:
  • Amir Shabani
  • Reza Farzipoor Saen

Abstract

One of the uses of data envelopment analysis (DEA) can be international market ranking (IMR). Selecting the best international market (IM) from a large number of possible markets with various levels of capabilities and potential is a complicated and time-consuming managerial task. In the subject of marketing research, moreover, some measures cannot be mentioned accurately. These measures have the status of imprecise data. Additionally, there are some situations that decision maker is wavered to classify the input and output status of factors. In the DEA's literature such variables are called dual-role factors. The main objective of this paper, therefore, is to develop an innovative DEA model that takes simultaneously imprecise data and dual-role factors into account for ranking IMs. A case study makes evident the application of the proposed model.

Suggested Citation

  • Amir Shabani & Reza Farzipoor Saen, 2014. "International market ranking using enhanced imprecise dual-role MAJ model," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 7(5), pages 601-625.
    • Handle: RePEc:ids:ijbexc:v:7:y:2014:i:5:p:601-625
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=64558
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mohammad Izadikhah & Reza Farzipoor Saen & Kourosh Ahmadi, 2017. "How to Assess Sustainability of Suppliers in the Presence of Dual-Role Factor and Volume Discounts? A Data Envelopment Analysis Approach," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(03), pages 1-25, June.

    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:ids:ijbexc:v:7:y:2014:i:5:p:601-625. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=291 .

    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.