IDEAS home Printed from https://ideas.repec.org/a/igg/jhcitp/v12y2021i1p19-32.html
   My bibliography  Save this article

Digital Intelligent Design of Avatar-Based Control With Application to Human Capital Management

Author

Listed:
  • Vardan Mkrttchian

    (HHH University, Australia)

  • Serge Chernyshenko

    (Moscow Region State University, Russia)

Abstract

The article is devoted to modern digital technologies of management. A new approach to construct digital avatars has been proposed. It combines knowledge-based self-learning mechanisms and switching decision-making properties, based on using differential equations with special structure. As a main field of methodology's application, the field of human capital management has been considered. It is shown that the approach can essentially increase efficiency of HR activity. Some problems of using the method have been mentioned also. The article has mainly theoretical character, although practical aspects of the problem has been discussed.

Suggested Citation

  • Vardan Mkrttchian & Serge Chernyshenko, 2021. "Digital Intelligent Design of Avatar-Based Control With Application to Human Capital Management," International Journal of Human Capital and Information Technology Professionals (IJHCITP), IGI Global, vol. 12(1), pages 19-32, January.
    • Handle: RePEc:igg:jhcitp:v:12:y:2021:i:1:p:19-32
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJHCITP.2021010102
    Download Restriction: no
    ---><---

    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:igg:jhcitp:v:12:y:2021:i:1:p:19-32. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.