IDEAS home Printed from https://ideas.repec.org/a/igg/joris0/v9y2018i1p51-65.html
   My bibliography  Save this article

Retail Location Decision Using an Integrated DEMATEL-ANP Method

Author

Listed:
  • Satyendra Sharma

    (Birla Institute of Technology and Science, Pilani, Pilani, India)

  • Srikanta Routroy

    (Birla Institute of Technology and Science, Pilani, Pilani, India)

  • Rohan Desai

    (Birla Institute of Technology and Science, Pilani, Pilani, India)

Abstract

This study focuses on developing a model for making retail location decisions which addresses the limitations of existing methods. The integrated DEMATEL-ANP method used here successfully accounts for interdependencies between the selected criteria. After reviewing the existing methods for decision making, the Decision Making Trial and Evaluation (DEMATEL) and the Analytical Network Process (ANP) methods were chosen. DEMATEL evaluates the degrees of influence the criteria have on each other. ANP is used to assign weights to criteria and the sub-criteria, and eventually derive the weights for the alternative locations. The integrated model helps prioritize among the available alternatives based on scientific methods, much more reliable than intuition and experience based methods still practiced today. Adopting this method can help retail chains make more informed decisions. This is the first time an integrated DEMATEL-ANP method has been applied in the context of retail location decision.

Suggested Citation

  • Satyendra Sharma & Srikanta Routroy & Rohan Desai, 2018. "Retail Location Decision Using an Integrated DEMATEL-ANP Method," International Journal of Operations Research and Information Systems (IJORIS), IGI Global Scientific Publishing, vol. 9(1), pages 51-65, January.
    • Handle: RePEc:igg:joris0:v:9:y:2018:i:1:p:51-65
    as

    Download full text from publisher

    File URL: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJORIS.2018010103
    Download Restriction: no
    ---><---

    More about this item

    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:igg:joris0:v:9:y:2018:i:1:p:51-65. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.