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INTERNET PURCHASES IN SOUTH-EAST EUROPEAN COUNTRIES:CLUSTER ANALYSIS APPROACH (CROSBI ID 617856)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Dumičić, Ksenija ; Bahovec, Vlasta ; Čeh Časni, Anita ; Palić, Irena INTERNET PURCHASES IN SOUTH-EAST EUROPEAN COUNTRIES:CLUSTER ANALYSIS APPROACH // Proceedings, International Conference SMEs and Innovation: Building competitive future of South-Eastern Europe, Ohrid, 3-4 October, 2014, Macedonia. Ohrid: Prilep: Faculty of economy, 2014. str. 171-183

Podaci o odgovornosti

Dumičić, Ksenija ; Bahovec, Vlasta ; Čeh Časni, Anita ; Palić, Irena

engleski

INTERNET PURCHASES IN SOUTH-EAST EUROPEAN COUNTRIES:CLUSTER ANALYSIS APPROACH

The goal of the paper is to describe the recent increasing dynamics of the Internet purchases by individuals, as the main variable under study, in selected European countries, EU28, and three official EU candidates, the Former Yugoslav Republic (FYR) of Macedonia, Serbia and Turkey, is describe. The South East European (SEE) countries and those from the Western Balkan (WB) are put into the focus. The first research hypothesis implied that selected four independent variables, expressed as economic and Information and Communication Technology (ICT) development indicators, are positively correlated with Internet purchases by individuals in selected European countries. The hypothesis was confirmed using Eurostat data for four carefully chosen independent variables for 2013. The best fitted multiple linear regression model developed using All Possible Regressions approach and Mallows’ Cp index shows that two variables: (1) GDP per capita in Purchasing Power Standards (PPS), Index, EU-28=100, and (2) Internet penetration rate, given as Percentage of individuals using the Internet, are statistically significant in the model. The second research hypothesis was that the SEE countries (SEECs) resemble each other concerning analysed variables, and they might belong to the same cluster. The cluster analysis for 30 countries based on all five variables resulted with several solutions, but usually showing that there are two groups of SEECs. One group of the SEECs contains five less developed SEECs (EU members Bulgaria and Romania, and EU candidates, the FYR of Macedonia, Serbia and Turkey), comprising the cluster of their own. The other group includes four more developed SEECs (EU members: Greece, Cyprus, Slovenia and Croatia), which join the cluster containing several other EU member states.

Internet purchases ; ICT development indicators ; South-East European countries ; Cluster analysis ; Multiple linear regression modelling

Ovaj rad je u potpunosti podržan od strane Hrvatske zaklade za znanost kao dio znanstvenog projekta „Statistical Modelling for Response to Crisis and Economic Growth in Western Balkan Countries“ (STRENGTHS) ; Broj projekta: HRZZ-IP-2013-11-9402 ; Voditeljica: prof. dr. sc. Ksenija Dumičić.

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Podaci o prilogu

171-183.

2014.

objavljeno

Podaci o matičnoj publikaciji

Proceedings, International Conference SMEs and Innovation: Building competitive future of South-Eastern Europe, Ohrid, 3-4 October, 2014, Macedonia

Ohrid: Prilep: Faculty of economy

978-9989-695-56-8

Podaci o skupu

International Conference SMEs and Innovation: Building competitive future of South-Eastern Europe

ostalo

03.10.2014-04.10.2014

Ohrid, Sjeverna Makedonija

Povezanost rada

Ekonomija

Poveznice