IDEAS home Printed from https://ideas.repec.org/a/ids/ijpmbe/v11y2021i2p151-177.html
   My bibliography  Save this article

The use of benchmarking tool to improve efficiency of company's innovation activities in the conditions of digital economy

Author

Listed:
  • Sergey M. Vasin
  • Leyla A. Gamidullaeva
  • Alexey G. Finogeev
  • Vardan S. Mkrttchian
  • Artiom A. Berezin

Abstract

Today there is a necessity of developing a unique market behaviour strategy using own competitive advantages to reach the highest scores of real competitive ability of a sector. The driving force of the competition law requires companies to have thorough strategies to improve the quality of produced goods, to decrease production costs and to increase labour efficiency. In this context the use of benchmarking tools to improve innovation efficiency at companies is an important task. The present work considers decision-making models and methods regarding company's competitiveness management in terms of benchmarking. The model of competitive interaction introduced in the article in the form of a system of coupled Van-der-Pol equations with time lag was successfully tested in radio physics and now is successfully applied in economics. The article demonstrates the application of the given system to describe benchmarking of different economic companies.

Suggested Citation

  • Sergey M. Vasin & Leyla A. Gamidullaeva & Alexey G. Finogeev & Vardan S. Mkrttchian & Artiom A. Berezin, 2021. "The use of benchmarking tool to improve efficiency of company's innovation activities in the conditions of digital economy," International Journal of Process Management and Benchmarking, Inderscience Enterprises Ltd, vol. 11(2), pages 151-177.
  • Handle: RePEc:ids:ijpmbe:v:11:y:2021:i:2:p:151-177
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=113736
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Chenggang Wang & Tiansen Liu & Yue Zhu & Meng Lin & Wenhao Chang & Xinyu Wang & Dongrong Li & He Wang & Jinsol Yoo, 2022. "Digital Economy, Environmental Regulation and Corporate Green Technology Innovation: Evidence from China," IJERPH, MDPI, vol. 19(21), pages 1-18, October.
    2. Xu, Ting & Shen, Zhenni & Zhang, Hui & Zhang, Chenglong & Huang, Honglei, 2024. "Digital HP finance's role in the economic resilience of enterprises’ digital transformation," Finance Research Letters, Elsevier, vol. 63(C).

    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:ids:ijpmbe:v:11:y:2021:i:2:p:151-177. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=95 .

    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.