IDEAS home Printed from https://ideas.repec.org/a/gam/jsoctx/v15y2025i10p269-d1758951.html
   My bibliography  Save this article

Should I Stay or Should I Go? Mapping the Key Drivers of Skilled Migration Using Fuzzy Multi-Criteria Decision Methodology

Author

Listed:
  • Ejder Ayçin

    (Department of Business Administration, Kocaeli University Faculty of Business, Izmit 41380, Turkey)

  • Esra Erarslan

    (Department of Business Administration, Faculty of Economic and Administrative Sciences, Turkish-German University, Istanbul 34820, Turkey)

Abstract

The emigration of highly skilled individuals has become a critical concern for many countries amid increasing global labor mobility. This study employs the Improved Fuzzy Step-Wise Weight Assessment Ratio Analysis (IF-SWARA) method within a fuzzy multi-criteria decision-making (FMCDM) framework to identify and prioritize the key drivers of skilled migration. Drawing on opinions from sixteen Turkish emigrants currently residing abroad, the study captures firsthand perspectives on the structural factors influencing their migration decisions. The results indicate that the most influential factors are workplace conditions, living standards, and academic standards. These findings underscore the multifaceted nature of brain drain and highlight the necessity for comprehensive policy approaches that address both push and pull dynamics. By systematically ranking these determinants, the study contributes to the growing body of evidence-based research on international human capital flows.

Suggested Citation

  • Ejder Ayçin & Esra Erarslan, 2025. "Should I Stay or Should I Go? Mapping the Key Drivers of Skilled Migration Using Fuzzy Multi-Criteria Decision Methodology," Societies, MDPI, vol. 15(10), pages 1-18, September.
    • Handle: RePEc:gam:jsoctx:v:15:y:2025:i:10:p:269-:d:1758951
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2075-4698/15/10/269/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2075-4698/15/10/269/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:gam:jsoctx:v:15:y:2025:i:10:p:269-:d:1758951. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.