IDEAS home Printed from https://ideas.repec.org/a/rom/bemann/v12y2022i3p91-107.html
   My bibliography  Save this article

How Analytics Can Improve Logistics And Supply Chain In Multinational Companies: Perspectives From Europe And America

Author

Listed:
  • Mesbaul Haque Sazu

    (Case Western Reserve University, Cleveland, USA)

  • Sakila Akter Jahan

    (Illinois State University, Illinois, USA)

Abstract

The research is focused on the role of big data analytics in logistics of transportation in multinational companies across the world. It shows new opportunities for current supply chain practices, while adding operational excellence and value. A survey was carried out among staff members of multinational companies from the Americas, and Europe. For the statistical investigation of survey data, an equation modeling was used. Results reveal that demand management, seller rating, and vendor satisfaction are the most important factors. The study also found that analytics affect efficiency, operational excellence, customer service, and cost savings in the supply chain industry. The goal is to reduce the gap between demand management and supply chain management by improving customer satisfaction, visibility, and visibility. The big data can produce substantial value added and monetary gains for companies and will quickly become common throughout the industry.

Suggested Citation

  • Mesbaul Haque Sazu & Sakila Akter Jahan, 2022. "How Analytics Can Improve Logistics And Supply Chain In Multinational Companies: Perspectives From Europe And America," Business Excellence and Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 12(3), pages 91-107, September.
  • Handle: RePEc:rom:bemann:v:12:y:2022:i:3:p:91-107
    as

    Download full text from publisher

    File URL: https://beman.ase.ro/no123/7.pdf
    Download Restriction: no
    ---><---

    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:rom:bemann:v:12:y:2022:i:3:p:91-107. 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: Zamfir Andreea (email available below). General contact details of provider: https://edirc.repec.org/data/mnasero.html .

    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.