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Title:Big data usage in European Countries : cluster analysis approach
Authors:ID Pejić Bach, Mirjana (Author)
ID Bertoncel, Tine (Author)
ID Meško, Maja (Author)
ID Suša-Vugec, Daila (Author)
ID Ivančić, Lucija (Author)
Files:.pdf Bach-2020-Big_Data_Usage_in_European_Countries.pdf (3,39 MB)
MD5: 434652B82163523115E638D3CB32AEFC
 
URL https://doi.org/10.3390/data5010025
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:FOV - Faculty of Organizational Sciences in Kranj
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
Publication status:Published
Publication version:Version of Record
Submitted for review:03.02.2020
Article acceptance date:10.03.2020
Publication date:12.03.2020
Publisher:MDPI
Year of publishing:2020
Number of pages:Str. 1-16
Numbering:Letn. 5, št. 1, št. članka 25
PID:20.500.12556/DKUM-91543 New window
UDC:004
ISSN on article:2306-5729
COBISS.SI-ID:1542023364 New window
DOI:10.3390/data5010025 New window
Publication date in DKUM:14.01.2025
Views:0
Downloads:3
Metadata:XML DC-XML DC-RDF
Categories:Misc.
:
PEJIĆ BACH, Mirjana, BERTONCEL, Tine, MEŠKO, Maja, SUŠA-VUGEC, Daila and IVANČIĆ, Lucija, 2020, Big data usage in European Countries : cluster analysis approach. Data [online]. 2020. Vol. 5, no. 1,  članka 25, p. 1–16. [Accessed 13 March 2025]. DOI 10.3390/data5010025. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=91543
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Record is a part of a journal

Title:Data
Shortened title:Data
Publisher:MDPI AG
ISSN:2306-5729
COBISS.SI-ID:526325273 New window

Document is financed by a project

Funder:HRZZ - Croatian Science Foundation
Project number:IP-2014-09-3729
Name:Process and Business Intelligence for Business Performance

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:12.03.2020

Secondary language

Language:Slovenian
Keywords:masovni podatki, analiza grozdov, digitalni razkorak, podjetja, industrija, Evropa, kakovost


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