IDEAS home Printed from https://ideas.repec.org/a/alq/rufejo/rfej_2021_06_79-93.html
   My bibliography  Save this article

International Experience of Using BIM Technologies in Construction

Author

Listed:
  • Valentina Vasil’evna Iljinova

    (Russian Foreign Trade Academy, Moscow, Russia)

  • Vladimir Dmitrievich Mitsevich

    (Russian Foreign Trade Academy, Moscow, Russia)

Abstract

One of the key trends in the international construction industry is the introduction of information modeling (BIM) technologies. Now the level of prevalence of information modeling technologies in the Russian Federation is significantly lower than in the countries that are leaders in the use of BIM technologies. The key features of international experience in the application of information modeling technologies are considered; the advantages of BIM technologies at various stages of the project life cycle are highlighted. The article examines the features of the Russian expiriencee in the implementation of BIM technologies, identifies the sources of problems in the implementation of these technologies in the practice of Russian companies, and formulates the key factors that affect the level of prevalence of these technologies in Russia. The qualitative and quantitative benefits for companies from the introduction of BIM technologies are shown, and a conclusion is made on the prospects for the development of information modeling technologies in the Russian Federation.

Suggested Citation

  • Valentina Vasil’evna Iljinova & Vladimir Dmitrievich Mitsevich, 2021. "International Experience of Using BIM Technologies in Construction," Russian Foreign Economic Journal, Russian Foreign Trade Academy Ministry of economic development of the Russian Federation, issue 6, pages 79-93, June.
    • Handle: RePEc:alq:rufejo:rfej_2021_06_79-93
    DOI: 10.24411/2072-8042-2021-6-79-93
    as

    Download full text from publisher

    File URL: http://repec.vavt.ru/RePEc/alq/rufejo/rfej_2021_06_79-93.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.24411/2072-8042-2021-6-79-93?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Anatoly Platonov & Viola Larionova & Yury Davy, 2023. "Development of Approaches and Organizational Models for the Mass Implementation of Information Modeling Technologies in the Investment and Construction Sphere," JRFM, MDPI, vol. 16(2), pages 1-17, February.

    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:alq:rufejo:rfej_2021_06_79-93. 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: Anna Chernyavskaya (email available below). General contact details of provider: https://edirc.repec.org/data/vavtmru.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.