IDEAS home Printed from https://ideas.repec.org/a/ids/ijtlid/v11y2019i3p265-290.html
   My bibliography  Save this article

Dynamic structural comparison of BRICS national innovation systems based on machine learning techniques

Author

Listed:
  • Ibrahim Alnafrah

Abstract

This study aims at investigating the structural differences of NISs among BRICS countries to reveal the different functional patterns of these systems. Different Machine learning techniques are used of a set of variables that represent the main NISs dimensions. This study covers 50 countries, for 26 years. The results show that BRICS's NISs have different functional patterns in terms of economic, educational and infrastructural dimensions, where all BRICS countries, except India, perform well in comparison with other studied countries. On the other hand, all NISs of BRICS countries have the same functional patterns in terms of innovation and institutional dimensions, where all BRICS's NISs suffer from a low performance. The results also show that the performance of BRICS's NISs tends to diverge over time. This study introduces a novel approach to analyse and compare NISs structurally and dynamically enabling policy makers to identify the strengths and weaknesses of their NISs.

Suggested Citation

  • Ibrahim Alnafrah, 2019. "Dynamic structural comparison of BRICS national innovation systems based on machine learning techniques," International Journal of Technological Learning, Innovation and Development, Inderscience Enterprises Ltd, vol. 11(3), pages 265-290.
    • Handle: RePEc:ids:ijtlid:v:11:y:2019:i:3:p:265-290
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=102681
    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. Ibrahim Alnafrah, 2021. "Efficiency evaluation of BRICS’s national innovation systems based on bias-corrected network data envelopment analysis," Journal of Innovation and Entrepreneurship, Springer, vol. 10(1), pages 1-28, December.

    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:ijtlid:v:11:y:2019:i:3:p:265-290. 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=240 .

    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.