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

  • Ksenija Dumičić
  • Ivana Skoko Bonić
  • Berislav Žmuk
Keywords: e-commerce, broadband access to the Internet, factor analysis, multiple regression analysis

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.

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Author Biographies

Ksenija Dumičić

University of Zagreb, Faculty of Economics and Business, Croatia
E-mail: kdumicic@efzg.hr

Ksenija Dumičić, PhD, Full Professor Tenured at the Department of Statistics, Faculty of Economics and Business, University of Zagreb, specialized at the Institute for Social Research at University of Michigan, focusing survey sampling, SQC and business statistics. She has led statistical postgraduate studies and WB, UNICEF, WHO, EU and Croatian Science Foundation projects. She is President of Croatian Statistical Association, ISI Elected Member, IASS, IASE, WSC at the ISI, and member of RSS, YSM International Scientific Committee and Advisory Board member at BEF, ECAS and Statistical Olympics Jury. She published 170 publications.

Ivana Skoko Bonić

Pliva Croatia Ltd., Croatia
E-mail: ivana.skoko-bonic@pliva.com

Ivana Skoko Bonić, univ.spec.oec., graduated at the major Accounting, post-graduated Statistical Methods for Economic Analysis and Forecasting at Faculty of Economics and Business, University of Zagreb. Currently she is Tax Manager at the Tax Department in Pliva Croatia Ltd. (Teva group) where her specialty is transfer pricing and corporate income tax. Her main research fields include transfer pricing methodology together with applications of statistics in business and economy, especially in benchmark studies.

Berislav Žmuk

University of Zagreb, Faculty of Economics and Business, Croatia
E-mail: bzmuk@efzg.hr

Berislav Žmuk, PhD, graduated at the major Accounting, post-graduated Statistical Methods for Economic Analysis and Forecasting, and gained his PhD degree in Business Economics at Faculty of Economics and Business, University of Zagreb. Currently he is an Assistant Professor at the Department of Statistics, Faculty of Economics and Business, University of Zagreb where he teaches following subjects: Statistics, Business Statistics and Business Forecasting. His main research fields include applications of statistics in business and economy, survey methodology and statistical quality control.

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Published
2018-07-22
How to Cite
Dumičić K., Skoko Bonić I., & Žmuk B. (2018). Statistical Analysis of the Development Indicators’ Impacts on E-Commerce of Individuals in Selected European Countries. Naše gospodarstvo/Our Economy, 64(2), 15-24. Retrieved from https://journals.um.si/index.php/oe/article/view/2181