IDEAS home Printed from https://ideas.repec.org/a/ids/ijbpsc/v14y2023i1p1-29.html
   My bibliography  Save this article

A proposed hybrid VUCA theory and decision making for logistics enterprises in Oman due to uncertainty contemporary factors

Author

Listed:
  • Noorul Shaiful Fitri Abdul Rahman
  • Abdelsalam Adam Hamid
  • Nur Hazwani Karim
  • Mohammad Khairuddin Othman
  • Abdelghani Benayoune
  • Muhammad Subhan Ishak

Abstract

The COVID-19 pandemic, the implementation of the industrial revolution 4.0, the recent fuel price crisis, and the vision of the Sultanate of Oman logistics strategy 2040 are forcing the Omani logistics sector to determine its capability in handling these four issues simultaneously. This study proposes a decision-making model for small and medium logistics enterprises in Oman for analysing numerous potential business strategies by considering the uncertainty of contemporary factors. A hybrid of multiple-criteria decision-making methods, namely, the analytic hierarchy process, fuzzy link-based approach and evidential reasoning approach, were used in this study. It was found that the 'centralised business activities' business strategy is preferable and more essential to be implemented immediately, mainly due to the geographical market positioning reason. This novel study contributes to developing the decision model for the Logistics Enterprises in Oman as a new measurement when dealing with the uncertainty of external factors of the business environment.

Suggested Citation

  • Noorul Shaiful Fitri Abdul Rahman & Abdelsalam Adam Hamid & Nur Hazwani Karim & Mohammad Khairuddin Othman & Abdelghani Benayoune & Muhammad Subhan Ishak, 2023. "A proposed hybrid VUCA theory and decision making for logistics enterprises in Oman due to uncertainty contemporary factors," International Journal of Business Performance and Supply Chain Modelling, Inderscience Enterprises Ltd, vol. 14(1), pages 1-29.
    • Handle: RePEc:ids:ijbpsc:v:14:y:2023:i:1:p:1-29
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=130457
    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.

    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:ijbpsc:v:14:y:2023:i:1:p:1-29. 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=341 .

    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.