Page 256 - Invited Paper Session (IPS) - Volume 2

IPS236 Ksenija D. et al.
Individuals using the internet for ordering goods
or services related to selected digital and
economic development level indicators: Cluster
analysis of European countries
Ksenija Dumičić , Zagorka Lozanov-Crvenković ,
1
2
4
Emilija Nikolić Đorić , Blagica Novkovska
3
1 Department of Statistics, University of Zagreb Faculty of Economics and Business, Croatia &
Croatian Statistical Association, Zagreb, Croatia
2 Department of Mathematics and Informatics, Faculty of Sciences, Novi Sad University &
Statistical Society of Vojvodina, Novi Sad, Serbia
3 Department of Agricultural Economics and Rural Sociology, Faculty of Agriculture, Novi Sad
University, Novi Sad, Serbia
4 University of Tourism and Management, Faculty of Economics, Skopje, R. of North
Macedonia

Abstract
With a purpose to evaluate the possible role of statistical societies in
digitalisation and globalisation era, selected “digital skills – related” and
“globalisation” variables are put into the focus of the desk research, hoping
that conclusions might be stimulating for statistical societies’ enhanced
support to “digital skills – related” statistical education, knowledge, literacy
and skills. Regarding this, possibilities of national statistical societies’ and
Federation’s of National Statistical Societies (FENStatS, 2019) a more intensive
standardized communication is suggested. The goal of the desk research was
to explain one digital skills related variable, with three others. In this research,
data for Percentage of individuals aged 16 to 74, who use the internet for
ordering goods or services (Y2017IntOrderGoods), related to three development
indicators, as independent variables, for 31 European countries for 2017, has
been explored. Among several indicators influencing the main variable under
study positively, Percentage of individuals aged 16-74, who have basic or
above basic overall digital skills (X3_DigitalSkill), showed to have the strongest
positive correlation with it. Descriptive summary statistics, linear trend
modelling, correlation, regression and hierarchical cluster analysis were used.
Analysis included 27 countries of the EU-28, plus four EU candidates,
Montenegro, FYR of Macedonia, Serbia and Turkey. The estimated linear trend
for the EU-28 countries shown that Percentage of individuals aged 16 to 74,
who use the internet for ordering goods or services increased with the slope
of 2.73 percentage points yearly. After discovering quite strong positive
correlations between the dependent and each of independent variables, a two
multiple linear regression models were fully developed, both including
X3_DigitalSkill, as the independent variable. Both models show the average
increase in the regression value to be statistically highly significant for each of
the regressors considered. After hierarchical clustering, the Scandinavian

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