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1.
Statistical analysis of the development indicators' impacts on e-commerce of individuals in selected European countries
Ksenija Dumičić, Ivana Skoko Bonić, Berislav Žmuk, 2018, izvirni znanstveni članek

Opis: 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.
Ključne besede: e-commerce, broadband access to the Internet, factor analysis, multiple regression analysis
Objavljeno: 10.10.2018; Ogledov: 612; Prenosov: 289
.pdf Celotno besedilo (343,31 KB)
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2.
Regression analysis of variables describing poultry meat supply in European countries
Miro Simonič, Ksenija Dumičić, Gabrijel Devetak, 2012, izvirni znanstveni članek

Opis: In this paper, based on the analysis of official FAOSTAT and EUROSTAT data on poultry meat for 38 European countries for years 2007 and 2009, two hypotheses were examined. Firstly, considering four clustering variables on poultry meat, i.e. production, export and import in kg/capita, as well as the producer price in US $/t, using descriptive exploratory and cluster analysis, the hypothesis that the clusters of countries may be recognized was confirmed. As a result six clusters of similar countries were distinguished. Secondly, based on multiple regression analysis, this paper proofs that there exists the statistically significant relationship of poultry meat production on export and import of that kind of meat, all measured in kg/capita. There is also a high correlation between production, as a dependent, and each of two independent variables.
Ključne besede: poultry meat, marketing strategy, cluster analysis, correlation, multiple regression
Objavljeno: 10.07.2015; Ogledov: 833; Prenosov: 324
.pdf Celotno besedilo (780,46 KB)
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