IDEAS home Printed from https://ideas.repec.org/a/abw/journl/y2023id1048.html
   My bibliography  Save this article

Overcoming The Barriers To The Digital Transformation Of Industrial Enterprises Through The Business Model Selection Mechanism

Author

Listed:
  • A. S. Karikova

Abstract

The article describes the main barriers to digital transformation faced by industrial enterprises in various industries, such as: lack of appropriate funding, information security risks, insufficient digital skills of employees, insufficient maturity of current processes, internal resistance to change, insufficient awareness of managers, lack of certainty over the future of digital standards. To analyse the barriers, the author used a three-step approach, including a literature review, a primary research with representatives of the companies, and a qualitative comparative analysis that are based on the Kruskal – Wallis test and used to identify differences between groups of enterprises. To overcome the barriers identified by the author it was offered to use  a mechanism of a business model selection, which takes into account the assessment of obtained competitive advantages (improvement of operational, financial and technical efficiency), digital maturity (digital culture level, staff qualifications, the quality of business process organisation and access to digital infrastructure) and risks (non-receipt of expected income from business model implementation, information security, reputational and personnel). The novelty of the proposed business model selection mechanism for an industrial enterprise is to improve the classification and develop a multi-criteria mechanism for choosing a business model, which would be implemented using a knowledge-based system incorporating a fuzzy inference mechanism.

Suggested Citation

  • A. S. Karikova, 2023. "Overcoming The Barriers To The Digital Transformation Of Industrial Enterprises Through The Business Model Selection Mechanism," Strategic decisions and risk management, Real Economy Publishing House, vol. 14(1).
  • Handle: RePEc:abw:journl:y:2023:id:1048
    DOI: 10.17747/2618-947X-2023-1-74-85
    as

    Download full text from publisher

    File URL: https://www.jsdrm.ru/jour/article/viewFile/1048/1006
    Download Restriction: no

    File URL: https://www.jsdrm.ru/jour/article/viewFile/1048/1015
    Download Restriction: no

    File URL: https://libkey.io/10.17747/2618-947X-2023-1-74-85?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

    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:abw:journl:y:2023:id:1048. 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: ООО Ð˜Ð·Ð´Ð°Ñ‚ÐµÐ»ÑŒÑ ÐºÐ¸Ð¹ дом Â«Ð ÐµÐ°Ð»ÑŒÐ½Ð°Ñ Ñ ÐºÐ¾Ð½Ð¾Ð¼Ð¸ÐºÐ°Â» (email available below). General contact details of provider: https://www.jsdrm.ru/jour/about/journalSponsorship .

    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.