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E-commerce Analysis in selected European Union Countries: Position of Croatia

Author

Listed:
  • Kurnoga Nataša

    (Faculty of Economic and Business, University of Zagreb, Croatia)

  • Slišković Ana

    (Astellas d.o.o.)

Abstract

Computer and mobile technology, Internet use and e-commerce have grown enormously in recent years. The main aim of this paper was to analyse the e-commerce of Croatia, the European Union (EU) countries and the post-transition EU countries. Due to technological progress, the paper among other things, analyses the trend of online purchase at the Croatian and the EU level. The analysis revealed the presence of a linear trend. Furthermore, hierarchical and non-hierarchical cluster analyses were used to classify the countries, first at the EU level and then at the level of the post-transition EU countries. Two variables, the Internet use expressed as a percentage of individuals with the last Internet use in the last 12 months and the Internet purchases expressed as a percentage of individuals with the last online purchase in the last 12 months were used to classify those countries. According to Ward’s method with squared Euclidean distances and dendrogram, the countries were classified into three clusters, which were then used as the basis for the k-means method. Finally, the cluster analysis resulted in the following three clusters: most developed, developed and less developed. Croatia was classified in the less developed cluster at the level of the EU countries, while at the level of the post-transition EU countries it was classified in the developed cluster.

Suggested Citation

  • Kurnoga Nataša & Slišković Ana, 2017. "E-commerce Analysis in selected European Union Countries: Position of Croatia," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 3(2), pages 62-72, December.
  • Handle: RePEc:vrs:crebss:v:3:y:2017:i:2:p:62-72:n:5
    DOI: 10.1515/crebss-2017-0009
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    References listed on IDEAS

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    1. Ksenija Dumicic & Berislav Zmuk & Iris Mihajlovic, 2016. "Panel analysis of internet booking of travel and holiday accommodation indicators," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 14(1), pages 23-38.
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      More about this item

      Keywords

      cluster analysis; e-commerce; Internet use; multivariate analysis; online purchase; post-transition countries;
      All these keywords.

      JEL classification:

      • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
      • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

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