IDEAS home Printed from https://ideas.repec.org/a/gam/jrisks/v11y2023i7p127-d1191057.html
   My bibliography  Save this article

Dataset Analysis of the Risks for Russian IT Companies Amid the COVID-19 Crisis

Author

Listed:
  • Tatiana M. Vorozheykina

    (Russian State Agrarian University—Moscow Timiryazev Agricultural Academy, 127550 Moscow, Russia)

  • Aleksei Yu. Shchetinin

    (Independent Researcher, 101000 Moscow, Russia)

  • Galina N. Semenova

    (Department of Accounting and Taxation, Plekhanov Russian University of Economics, 115093 Moscow, Russia
    Department of Economics, Moscow Region State University, 141014 Mytishchi, Russia)

  • Maria A. Vakhrushina

    (Department of Business Analytics of the Faculty of Taxes, Audit and Business Analysis, Financial University under the Government of the Russian Federation, 125993 Moscow, Russia)

Abstract

The motivation for this research was to strive towards specifying the risks for businesses under the conditions of the COVID-19 pandemic and crisis in the IT sector in Russia. This paper is aimed at performing a dataset analysis of the risks for Russian IT companies amid the COVID-19 crisis. The sample contains the top 100 largest IT companies in Russia in 2020 and covers the data on these companies for 2019–2020. The influence of the COVID-19 crisis pandemic on the risks for IT companies in Russia is assessed with the help of the authors’ methodological approach to the dataset analytics of companies’ risks with the use of the method of trend analysis, analysis of variance and the hierarchical synthesis concept by T. Saaty. A specific feature of the authors’ methodological approach is its taking into account of the pre-crisis level of risks for companies. Due to this, the authors’ methodological approach allows for the most precise and correct determination of the scale and character of the influence of the COVID-19 pandemic and crisis on the risks for companies. The role of human resources in the management of risks for IT companies under the conditions of the COVID-19 pandemic and crisis in Russia is determined with the help of regression analysis; the regularity of the change in revenue, and the position of the company in the ranking (its competitiveness) in terms of the growth of the number of employees, are described mathematically. The key conclusions are that the influence of the COVID-19 pandemic and crisis on the risks for IT companies in Russia in 2020 was weak, and human resources played an important role in risk management. The theoretical significance of the paper lies in its rethinking of human resources management of Russian IT companies from the position of risk amid the COVID-19 crisis. The practical significance of the authors’ conclusions lies in the discovery of the high risk resilience of Russian IT companies to the pandemic and the formation of their risk profile amid the COVID-19 crisis, in which the main, though low, risk is the risk of reduction in competitiveness, whilst the risk of reduction in revenue is minimal.

Suggested Citation

  • Tatiana M. Vorozheykina & Aleksei Yu. Shchetinin & Galina N. Semenova & Maria A. Vakhrushina, 2023. "Dataset Analysis of the Risks for Russian IT Companies Amid the COVID-19 Crisis," Risks, MDPI, vol. 11(7), pages 1-20, July.
    • Handle: RePEc:gam:jrisks:v:11:y:2023:i:7:p:127-:d:1191057
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-9091/11/7/127/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-9091/11/7/127/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nikolai I. Berzon & Maksim M. Novikov & Elena L. Pozharskaya & Yulia I. Bakhturina, 2022. "Monitoring the Modern Experience of Financial Risk Management in Russia Based on Corporate Social Responsibility for Sustainable Development," Risks, MDPI, vol. 10(5), pages 1-16, April.
    2. Agnessa O. Inshakova & Anastasia A. Sozinova & Tatiana N. Litvinova, 2021. "Corporate Fight against the COVID-19 Risks Based on Technologies of Industry 4.0 as a New Direction of Social Responsibility," Risks, MDPI, vol. 9(12), pages 1-11, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Leng, Aolin & Sun, Yanbing, 2024. "The impact mechanism and breakthrough path of COVID-19 on enterprise financial distress: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 16-31.
    2. Irina A. Morozova & Stanislav S. Yatsechko, 2022. "The Risks of Smart Cities and the Perspectives of Their Management Based on Corporate Social Responsibility in the Interests of Sustainable Development," Risks, MDPI, vol. 10(2), pages 1-15, February.
    3. Vladimir V. Lebedev & Nelia A. Deberdeeva & Natalya A. Farkova & Larisa S. Korobeinikova, 2022. "Systemic Risk Management of Investments in Innovation Based on CSR," Risks, MDPI, vol. 10(5), pages 1-26, April.

    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:gam:jrisks:v:11:y:2023:i:7:p:127-:d:1191057. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.