IDEAS home Printed from https://ideas.repec.org/a/url/upravl/v10y2019ip65-74.html
   My bibliography  Save this article

On algorithmization and automation of regional strategizing

Author

Listed:
  • Yulia V. DUBROVSKAYA

    (Perm National Research Polytechnic University)

  • Elena V. KOZONOGOVA

    (Perm National Research Polytechnic University)

  • Anatoly V. MOLODCHIK

    (Perm National Research Polytechnic University)

Abstract

Widespread digitalization of economy results in automation of management processes in both the industrial sector and the service sector, including public services. The paper examines the possibilities and prospects for algorithmization and automation of regional strategizing on the basis of identification of enterprises as potential participants of industry value chains within the promising economics specializations of the subjects of the Russian Federation. The methodological basis of the study embraces the theoretical and practical provisions of regional management and the system of modern specialized geographic information platforms in the field of territorial strategizing. The study involves a wide range of quantitative and qualitative methods of analysis; Python and JavaScript are used to automate the process of regional strategizing. Based on the innovative method for identifying enterprises – potential participants in industry value chains, the authors created a specialized web application. It not only automates the strategizing of regional development in terms of determining the priority areas for cooperation between business entities within the promising sectors of a region’s economic specialization, but also allows visualizing a given algorithm and the results of identification in the form of a geographical map. The developed web-application can become a powerful tool for automating the process of regional strategizing. This proves the necessity to perform further research on improving and enhancing the functionality of the software product.

Suggested Citation

  • Yulia V. DUBROVSKAYA & Elena V. KOZONOGOVA & Anatoly V. MOLODCHIK, 2019. "On algorithmization and automation of regional strategizing," Upravlenets, Ural State University of Economics, vol. 10(4), pages 65-74, September.
    • Handle: RePEc:url:upravl:v:10:y:2019:i::p:65-74
    DOI: 10.29141/2218-5003-2019-10-4-6
    as

    Download full text from publisher

    File URL: http://upravlenets.usue.ru/images/80/6.pdf
    Download Restriction: no
    File URL: http://upravlenets.usue.ru/en/issues-2019/577
    Download Restriction: no
    File URL: https://libkey.io/10.29141/2218-5003-2019-10-4-6?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
    ---><---

    Citations

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


    Cited by:

    1. Viktoria V. Akberdina & Andrey I. Volodin & Roman V. Gubarev & Evgeniy I. Dzyuba & Fanil’ S. Fayzullin, 2020. "Models of public investment management at regional level," Upravlenets, Ural State University of Economics, vol. 11(1), pages 45-56, March.

    More about this item

    Keywords

    strategy of territorial development; digitalization of economy; automation of processes; algorithmization of strategizing; software product.;
    All these keywords.

    JEL classification:

    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • L52 - Industrial Organization - - Regulation and Industrial Policy - - - Industrial Policy; Sectoral Planning Methods

    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:url:upravl:v:10:y:2019:i::p:65-74. 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: Victor Blaginin (email available below). General contact details of provider: https://edirc.repec.org/data/usueeru.html .

    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.