IDEAS home Printed from https://ideas.repec.org/a/ssi/jouesi/v11y2024i3p176-188.html
   My bibliography  Save this article

Applying artificial intelligence in the logistics sector of Lithuania: prospects and opportunities

Author

Listed:
  • Nikolaj Ambrusevič

    (Vilniaus Kolegija / Higher Education Institution, Lithuania)

  • Živilė Gomienė

    (Vilniaus Kolegija / Higher Education Institution, Lithuania)

Abstract

Logistics has been one of the most important sectors of Lithuania's economy. However, recent economic, social and political challenges significantly impacted sector development, making its representatives search for new ways of business development by changing conservative models with more advanced ones. For instance, changes in the logistics sector affected by the implementation of remote work opportunities have created possibilities for providing logistics-related services across the globe. Most of the attention is being paid to solutions based on the application of artificial intelligence, and the future of logistics sector development is closely dependent on it. The paper aims to discover new prospects in applying artificial intelligence in the logistics sector by bringing forward an overview of the main sector's activities, performing historical economic data analysis and conducting a survey with representatives of leading companies from the logistics sector in Lithuania. The multicriteria method is used in data analysis, helping establish the main prospects in the sector's development.

Suggested Citation

  • Nikolaj Ambrusevič & Živilė Gomienė, 2024. "Applying artificial intelligence in the logistics sector of Lithuania: prospects and opportunities," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 11(3), pages 176-188, March.
    • Handle: RePEc:ssi:jouesi:v:11:y:2024:i:3:p:176-188
    DOI: 10.9770/jesi.2024.11.3(12)
    as

    Download full text from publisher

    File URL: https://jssidoi.org/jesi/uploads/articles/43/Ambrusevic_Applying_artificial_intelligence_in_the_logistics_sector_of_Lithuania_prospects_and_opportunities.pdf
    Download Restriction: no
    File URL: https://jssidoi.org/jesi/article/1170
    Download Restriction: no
    File URL: https://libkey.io/10.9770/jesi.2024.11.3(12)?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

    Artificial Intelligence (AI); Internet of things (IoT); logistics; Multi-Criteria Analysis (MCA);
    All these keywords.

    JEL classification:

    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - 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:ssi:jouesi:v:11:y:2024:i:3:p:176-188. 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: Manuela Tvaronaviciene (email available below). General contact details of provider: .

    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.