IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-2-38476-064-0_56.html

Implementation of Software Define-Wide Area Network (SD-WAN) to Improve Efficiency on KGX Logistic Company

In: Proceedings of the International Conference of Economics, Business, and Entrepreneur (ICEBE 2022)

Author

Listed:
  • Aziz Maulana Arham

    (Universitas Multimedia Nusantara, Department of Technology Management)

  • Prio Utomo

    (Universitas Multimedia Nusantara, Department of Technology Management)

  • Winarno

    (Universitas Multimedia Nusantara, Department of Informatics Engineering)

Abstract

The purpose of this study is to develop digital transformation roadmap and measure the cost-benefit of transformation in increasing efficiency at KGX Logistic Company using Software Define-Wide Area Network (SD-WAN). This study uses a digital maturity model that combines the dimensions of customer, strategy, technology, operations, and culture using the digital maturity model method from the TM forum. Based on the data and analysis in this study, the resulting Net Present Value (NPV) was positive 439,916,416; Internal Rate of Return (IRR) 47% and payback period in the second year. The practical implication in this research is to facilitate justification to the management that the digital transformation projects using SD-WAN are feasible and able to increase time and business operational cost efficiency.

Suggested Citation

  • Aziz Maulana Arham & Prio Utomo & Winarno, 2023. "Implementation of Software Define-Wide Area Network (SD-WAN) to Improve Efficiency on KGX Logistic Company," Advances in Economics, Business and Management Research, in: Nairobi & Yuliansyah & Habibullah Jimad & Ryzal Perdana & Gede Eka Putrawan & Trio Yuda Septiawan (ed.), Proceedings of the International Conference of Economics, Business, and Entrepreneur (ICEBE 2022), pages 554-567, Springer.
  • Handle: RePEc:spr:advbcp:978-2-38476-064-0_56
    DOI: 10.2991/978-2-38476-064-0_56
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:advbcp:978-2-38476-064-0_56. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.