IDEAS home Printed from https://ideas.repec.org/a/taf/tjorxx/v75y2024i1p49-66.html
   My bibliography  Save this article

Model-based evaluation for online food delivery platforms with the probabilistic double hierarchy linguistic EDAS method

Author

Listed:
  • Thi Minh Hang Nguyen
  • Van Phuoc Nguyen
  • Dong Trieu Nguyen

Abstract

In recent years, with the rapid expansion of internet technology, the number of online food delivery services has grown. Despite the ease, a poor online food delivery platform (OFP) produces all kinds of problems for individuals. A comprehensive and reasonable evaluation of online food delivery is of great significance. Therefore, this study establishes an OFP evaluation model based on the probabilistic double hierarchy linguistic EDAS (PDHL-EDAS) method for multiple attribute group decision-making (MAGDM). Then the CRITIC model is introduced to derive the objective weight and the cumulative prospect theory is leaded to obtaining the cumulative weight of PDHLTS. In furthermore, the benefits and applicability of the PDHL-EDAS method are illustrated by solving practical MAGDM problems concerning the evaluation of OFPs. Lastly, the proposed method is verified by comparison with other MAGDM methods, in addition to discussing potential future research directions.

Suggested Citation

  • Thi Minh Hang Nguyen & Van Phuoc Nguyen & Dong Trieu Nguyen, 2024. "Model-based evaluation for online food delivery platforms with the probabilistic double hierarchy linguistic EDAS method," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 75(1), pages 49-66, January.
    • Handle: RePEc:taf:tjorxx:v:75:y:2024:i:1:p:49-66
    DOI: 10.1080/01605682.2023.2174054
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01605682.2023.2174054
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/01605682.2023.2174054?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    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:taf:tjorxx:v:75:y:2024:i:1:p:49-66. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tjor .

    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.