IDEAS home Printed from https://ideas.repec.org/a/vrs/jsesro/v12y2023i2p72-87n2.html
   My bibliography  Save this article

Enhancing Organizational Performance Through The Fuzzy Dematel Method

Author

Listed:
  • Nicula Dana Laura
  • Constantinescu Sorina

    (The Bucharest University of Economic Studies, Romania)

Abstract

In today’s dynamic and interconnected business landscape, organizational performance optimization is imperative for sustained success. To achieve this, it is essential to discern and address the complex cause-and-effect relationships within an organization. This article introduces the Fuzzy Decision-Making Trial and Evaluation Laboratory (Fuzzy DEMATEL) method as a powerful tool for evaluating and enhancing organizational performance. The Fuzzy DEMATEL method, an extension of the traditional DEMATEL approach, accommodates the inherent ambiguity and uncertainty in real-world data, offering a more robust and accurate analysis. This method enables decision-makers to identify causal relationships among various factors impacting organizational performance, classify these factors as cause or effect, and quantify the degree of their influence using fuzzy logic.

Suggested Citation

  • Nicula Dana Laura & Constantinescu Sorina, 2023. "Enhancing Organizational Performance Through The Fuzzy Dematel Method," Journal of Social and Economic Statistics, Sciendo, vol. 12(2), pages 72-87, December.
    • Handle: RePEc:vrs:jsesro:v:12:y:2023:i:2:p:72-87:n:2
    DOI: 10.2478/jses-2023-0010
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/jses-2023-0010
    Download Restriction: no
    File URL: https://libkey.io/10.2478/jses-2023-0010?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
    ---><---

    More about this item

    Keywords

    DEMATEL; Fuzzy Dematel; Cause and Effect Analysis; Quality Management; Decision Making; Operations Research; Project Management;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - 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:vrs:jsesro:v:12:y:2023:i:2:p:72-87:n:2. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.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.