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Statistical Analysis of the Development Indicators’ Impacts on E-Commerce of Individuals in Selected European Countries

Author

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  • Dumičić Ksenija

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

  • Bonić Ivana Skoko

    (Pliva Croatia Ltd., Croatia)

  • Žmuk Berislav

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

Abstract

The aim of this paper is to analyse the influence of the development level indicators on the e-commerce, i.e. on the online purchase by individuals, in selected European countries in 2013. In the analysis, the main variable under study and all the independent variables are included as standardised. Based on nine variables, the principal component analysis with varimax rotation was performed and the two extracted factors were used as the regressors in the multiple regression analysis. In the regression model both components, Factor 1, which includes seven variables, called Prosperity, Investing in Education and IT Infrastructure, and Awareness, and Factor 2, comprised of two variables, called IT Skills, are statistically significant at the significance level of 1%. Both factors show a positive correlation with the online purchase of individuals. Inclusion and analysis of distributions and impacts of even nine independent variables, which make up two distinct factors affecting the e-commerce, make a new contribution of this work.

Suggested Citation

  • Dumičić Ksenija & Bonić Ivana Skoko & Žmuk Berislav, 2018. "Statistical Analysis of the Development Indicators’ Impacts on E-Commerce of Individuals in Selected European Countries," Naše gospodarstvo/Our economy, Sciendo, vol. 64(2), pages 15-24, June.
    • Handle: RePEc:vrs:ngooec:v:64:y:2018:i:2:p:15-24:n:2
    DOI: 10.2478/ngoe-2018-0008
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    Cited by:

    1. Novkovska, Blagica & Dumicic, Ksenija, 2019. "Ordering Goods And Services Online In South East European Countries: Comparison By Cluster Analysis," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 10(2), pages 163-173.

    More about this item

    Keywords

    e-commerce; broadband access to the Internet; factor analysis; multiple regression analysis;
    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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