IDEAS home Printed from https://ideas.repec.org/h/spr/lnichp/978-3-030-73261-5_5.html
   My bibliography  Save this book chapter

Modeling the Digital Transformation of the Region’s Industry

In: Digital Transformation in Industry

Author

Listed:
  • Grigoriy Korovin

    (Institute of Economics of the Ural Branch of the Russian Academy of Sciences)

Abstract

The paper studies the issues of modeling the digital transformation of the regional industrial sector. The polystructural nature of the research object requires the use of a methodological toolkit capable of adequately simulating comprehensive socio-economic systems. To simulate the digital transformation of a regional industrial sector, an agent-based approach is applied. When developing a model, the study proposes to take into account the elements of the irrational behavior of firms when making a strategic decision on digitalization, considering the formed opinion of managers and the general level of digitalization in the region. In the author’s opinion, these factors are of a psychological nature and can be assessed using a multidisciplinary approach. As a result of developing the model, the author proposed 4 classes of agents, their parameters, strategies used, possible states, estimated assets, and liabilities. In the model, an enterprise’s choice of a digitalization strategy and an operational decision on starting digital transformation are separated. The transition to a digitalization strategy is based on the actions of other industrial enterprises and the probability of a positive decision of the CEO identified as a result of the survey. The decision to start a digitalization program is determined by a strategic decision, the current financial capabilities of a particular enterprise, and the level of subsidies for the digitalization of the industry by regional authorities. The results of the study enrich the methodological toolkit for modeling the digitalization of the industrial sector, expand the ideas about the rational choice of an enterprise’s digitalization strategy, and make it possible to use the opinions of CEOs in an agent-based model.

Suggested Citation

  • Grigoriy Korovin, 2021. "Modeling the Digital Transformation of the Region’s Industry," Lecture Notes in Information Systems and Organization, in: Vikas Kumar & Jafar Rezaei & Victoria Akberdina & Evgeny Kuzmin (ed.), Digital Transformation in Industry, pages 49-55, Springer.
  • Handle: RePEc:spr:lnichp:978-3-030-73261-5_5
    DOI: 10.1007/978-3-030-73261-5_5
    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 search for a similarly titled item that would be available.

    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:lnichp:978-3-030-73261-5_5. 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.