IDEAS home Printed from https://ideas.repec.org/h/spr/conchp/978-3-030-11754-2_15.html
   My bibliography  Save this book chapter

Influence of Information Technologies on Production Efficiency: Estimation on the Basis of Algorithms for Machine Learning

In: Sustainable Growth and Development of Economic Systems

Author

Listed:
  • O. V. Bakanach

    (Samara State University of Economics)

  • N. V. Proskurina

    (Samara State University of Economics)

  • N. P. Persteneva

    (Samara State University of Economics)

  • M. Yu. Karyshev

    (Samara State Transport University)

Abstract

This contribution illustrates a brief description of information technologies as a factor of economic production. This issue is important today because there are no unequivocally recognized priority methodological approaches to estimate them against the background of the constant influence of information technologies on the economy. A methodology for obtaining a quantitative estimation of the impact of information technologies on economic production was developed and tested in the course of this study (using the example of statistical data on economic entities in Russia for the period from 2005 to 2016). This technique is based on principles of statistics and machine learning algorithms, which allow obtaining reliable results of estimates. The result of the contribution was classification models based on such machine learning algorithms as the nearest neighbors (k-nearest neighbors), logistic regression, and decision trees. This composite algorithm is able to make a decision on efficiency of one or another surveyed unit (enterprise of any type of economic activity) from the standpoint of its characteristics in the field of information technologies.

Suggested Citation

  • O. V. Bakanach & N. V. Proskurina & N. P. Persteneva & M. Yu. Karyshev, 2019. "Influence of Information Technologies on Production Efficiency: Estimation on the Basis of Algorithms for Machine Learning," Contributions to Economics, in: Svetlana Ashmarina & Marek Vochozka (ed.), Sustainable Growth and Development of Economic Systems, pages 195-205, Springer.
    • Handle: RePEc:spr:conchp:978-3-030-11754-2_15
    DOI: 10.1007/978-3-030-11754-2_15
    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:conchp:978-3-030-11754-2_15. 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.