20.500.12556/DKUM-91543 Big data usage in European Countries cluster analysis approach 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. big data cluster analysis digital divide k-means enterprise industry Europe quality masovni podatki analiza grozdov digitalni razkorak podjetja industrija Evropa kakovost true false true MDPI Angleški jezik Slovenski jezik Znanstveno delo 2025-01-14 11:55:57 2025-01-14 12:10:56 2025-01-15 03:13:48 0000-00-00 00:00:00 2020 0 0 Str. 1-16 št. 1, št. članka 25 Letn. 5 2020 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2020-02-03 2020-03-10 2020-03-12 004 1542023364 10.3390/data5010025 2306-5729 Bach-2020-Big_Data_Usage_in_European_Countries.pdf Bach-2020-Big_Data_Usage_in_European_Countries.pdf 1 434652B82163523115E638D3CB32AEFC 902d6cb027fd216aa8166e529fec0ad87ab389e66f7f16ad934d596d93eca699 0c53f1bc-d268-11ef-b886-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=187814 https://doi.org/10.3390/data5010025 0 22cc63d1-d266-11ef-b886-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=187813 Fakulteta za organizacijske vede 0 0 0