1. Directions for the sustainability of innovative clustering in a countryVito Bobek, Vladislav Streltsov, Tatjana Horvat, 2023, izvirni znanstveni članek Opis: This paper presents potential improvements through utilizing the cyclical nature of clusters by human capital, technology, policies, and management. A historical review of the formation and sustainable development of clusters in the US, Europe, Japan, China, and other regions is carried out to achieve this. The aim was to identify and assess the prominent occurrence cases, the central institutional actors, the indicators of their innovative activity, and the schematics of successful cluster management. The theory section covers current classification methods and typology of innovation-territorial economic associations. Consequently, a regression analysis model is produced to identify the potential dominant success factors in implementing the innovation policy of the most successful innovative clusters. Comments on the influence of these predictors on the competitiveness and level of innovative development of the 50 inspected countries follow. As a result of qualitative and quantitative analysis, an overview of the best world practice, the new vision, and its priorities are proposed to improve the efficiency at the level of management structures of innovation clusters.
Ključne besede: cluster, cluster policy, state policy, regression analysis, institutions, innovation, R&D
Objavljeno v DKUM: 09.04.2024; Ogledov: 306; Prenosov: 127
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2. Multivariate data analysis of natural mineral watersKatja Šnuderl, Marjana Simonič, Jan Mocak, Darinka Brodnjak-Vončina, 2007, izvirni znanstveni članek Opis: Fifty samples of natural mineral waters from springs in Slovenia, Hungary, Germany, Czech Republic and further countries of former Yugoslavia have been analysed. The mass concentration of cations ($Na^+$, $K^+$, $Ca^{2+}$, $Mg^{2+}$, $Fe^{2+}$, $Mn^{2+}$, $NH^+_4$) and anions ($F^-$, $Cl^-$, $I^-$, $NO^-_3$, $SO_4^{2-}$, $HCO_3^-$), the spring temperature, pH, conductivity and carbon dioxide mass concentration have been measured using standard analytical methods. Appropriate statistical methods and different chemometric tools were used to evaluate the obtained data, namely, (i) descriptive statistics, (ii) principal component analysis (PCA), (iii) cluster analysis, and (iv) linear discriminant analysis (LDA). It was confirmed that Slovenian natural mineral water samples differ most from the German ones but are relatively similar to the Czech and Hungarian ones. Water samples from Hungary are similar to waters from the eastern part of Slovenia.
Ključne besede: natural mineral water, ion determination, principal component analysis, cluster analysis, linear discriminant analysis
Objavljeno v DKUM: 21.12.2015; Ogledov: 1866; Prenosov: 100
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3. Regression analysis of variables describing poultry meat supply in European countriesMiro 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 v DKUM: 10.07.2015; Ogledov: 1544; Prenosov: 410
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4. Building data mining applications for CRMAlex Berson, Stephen Smith, Kurt Thearling, priročnik Ključne besede: information society, informatics, information technology, computer networks, internet, enterprise, electronic commerce, electronic marketing, marketing strategy, new economy, data warehousing, data base, data analysis, security, application, data structures, customer, information resources, consumer, statistics, cluster analysis, neural networks, data, trends, cases, case study
Objavljeno v DKUM: 01.06.2012; Ogledov: 2743; Prenosov: 84
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