IDEAS home Printed from https://ideas.repec.org/a/vrs/ecothe/v58y2020i4p529-544n5.html
   My bibliography  Save this article

Evaluating ICT Usage in Enterprises in Europe: Topsis Approach

Author

Listed:
  • Vasilić Nikola

    (University of Belgrade, Institute “Mihajlo Pupin”, Serbia)

  • Semenčenko Dušica

    (University of Belgrade, Institute “Mihajlo Pupin”, Serbia)

  • Popović-Pantić Sanja

    (University of Belgrade, Institute “Mihajlo Pupin”, Serbia)

Abstract

The main objective of the paper is to evaluate ICT usage in enterprises in 31 European countries. For that purpose, ICT usage in enterprises index (ICTEI) was developed using the TOPSIS approach based on the entropy method. Subsequently, having used the cluster analysis, countries were classified into clusters according to the observed indicators of ICT usage. Results show that Finland, Denmark, Norway, Sweden and Ireland are the top 5 countries when the advanced ICTs are prioritized. Based on the k-means clustering, Finland is a leader in a cluster of a very high ICT usage in enterprises and it is followed by Denmark, Norway, and Sweden. The cluster of high ICT usage in enterprises includes Ireland, Netherlands, Slovenia, Spain, and United Kingdom. Finally, the countries characterized by moderate and modest ICT usage are positioned in the remaining two clusters. The results of this research will facilitate the perception of a country’s position in relation to others, but will also signal the need to take measures to strengthen the ICT capacity of the business sector in the countries with a low value of ICTEI.

Suggested Citation

  • Vasilić Nikola & Semenčenko Dušica & Popović-Pantić Sanja, 2020. "Evaluating ICT Usage in Enterprises in Europe: Topsis Approach," Economic Themes, Sciendo, vol. 58(4), pages 529-544, December.
    • Handle: RePEc:vrs:ecothe:v:58:y:2020:i:4:p:529-544:n:5
    DOI: 10.2478/ethemes-2020-0030
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/ethemes-2020-0030
    Download Restriction: no
    File URL: https://libkey.io/10.2478/ethemes-2020-0030?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
    ---><---

    More about this item

    Keywords

    ICT; ICT usage in Enterprises Index – ICTEI; TOPSIS; Entropy method; Multi-criteria Decision Making; Cluster analysis;
    All these keywords.

    JEL classification:

    • C39 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Other
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • D20 - Microeconomics - - Production and Organizations - - - General

    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:vrs:ecothe:v:58:y:2020:i:4:p:529-544:n:5. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.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.