Pregled bibliografske jedinice broj: 731285
INTERNET PURCHASES IN SOUTH-EAST EUROPEAN COUNTRIES:CLUSTER ANALYSIS APPROACH
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 (ostalo, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 731285 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
INTERNET PURCHASES IN SOUTH-EAST EUROPEAN COUNTRIES:CLUSTER ANALYSIS APPROACH
Autori
Dumičić, Ksenija ; Bahovec, Vlasta ; Čeh Časni, Anita ; Palić, Irena
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
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, 171-183
ISBN
978-9989-695-56-8
Skup
International Conference SMEs and Innovation: Building competitive future of South-Eastern Europe
Mjesto i datum
Ohrid, Sjeverna Makedonija, 03.10.2014. - 04.10.2014
Vrsta sudjelovanja
Ostalo
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Internet purchases ; ICT development indicators ; South-East European countries ; Cluster analysis ; Multiple linear regression modelling
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija
Napomena
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.
POVEZANOST RADA
Projekti:
HRZZ-IP-2013-11-9402 - Statističko modeliranje odgovora na krizu i ekonomskog rasta zemalja Zapadnog Balkana (STRENGTHS) (Dumičić, Ksenija, HRZZ - 2013-11) ( CroRIS)
Ustanove:
Ekonomski fakultet, Zagreb