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Big data usage in European Countries : cluster analysis approach
Mirjana Pejić Bach, Tine Bertoncel, Maja Meško, Daila Suša-Vugec, Lucija Ivančić, 2020, original scientific article

Abstract: The goal of this research was to investigate the level of digital divide among selected European countries according to the big data usage among their enterprises. For that purpose, we apply the K-means clustering methodology on the Eurostat data about the big data usage in European enterprises. The results indicate that there is a significant difference between selected European countries according to the overall usage of big data in their enterprises. Moreover, the enterprises that use internal experts also used diverse big data sources. Since the usage of diverse big data sources allows enterprises to gather more relevant information about their customers and competitors, this indicates that enterprises with stronger internal big data expertise also have a better chance of building strong competitiveness based on big data utilization. Finally, the substantial differences among the industries were found according to the level of big data usage.
Keywords: big data, cluster analysis, digital divide, k-means, enterprise, industry, Europe, quality
Published in DKUM: 14.01.2025; Views: 0; Downloads: 3
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Digital divide and the use of digital public services during the COVID-19 pandemic
Sunčana Slijepčević, 2023, original scientific article

Abstract: The COVID-19 pandemic enhanced digital transformation. With the spread of the pandemic and the introduction of epidemiological measures, citizens were enforced to use the Internet to an increased extent. The digital divide among citizens and the capability of citizens to get an equal level of services has also come to the fore. The paper explores the changes in the use of e-government services and the impact of the pandemic on the citizens’ attitudes toward Internet use in Croatia. The analysis is based on the survey data. The results show that due to the pandemic, citizens became more dependent on IT equipment. Citizens spend more time using digital public services than in the pre-pandemic period. The results also reveal differences in the COVID-19 impact on the use of digital public services between different groups of population.
Keywords: digital public services, e-government services, citizens, digital divide, internet use
Published in DKUM: 05.09.2023; Views: 224; Downloads: 17
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Factors that impact internet use and are sensitive to income : cross-country empirical evidence
Dijana Močnik, 2010, original scientific article

Abstract: This paper examines information and communication technology (ICT) and socioeconomic indicators associated with Internet use based on income level across countries. Although some literature deals with cross-country indicatorsof Internet use, no known study quantitatively examines which indicators are superior or how they differ across countries with different income level. We extract factors with the most important indicators and evaluate their impact on Internet use for four income groups: low, lower middle, upper middle, and high. The results show that Internet use can be stimulated by educated people, available computers, telecommunications connections and increasing income per capita. However, prices of telecommunications services, international trade, investment, population density, unemployment rate or GDP growth rate do not affect Internet use.
Keywords: technology gap, developing countries, digital divide, internet access, information technology, communication technology
Published in DKUM: 31.05.2012; Views: 2356; Downloads: 30
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