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A bibliometric analysis of the evolution of Six Sigma in the context of Industry 4.0

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dc.title A bibliometric analysis of the evolution of Six Sigma in the context of Industry 4.0 en
dc.contributor.author Efimova, Anastasia
dc.contributor.author Briš, Petr
dc.contributor.author Efimov, Alexander
dc.relation.ispartof Inzinerine Ekonomika-Engineering Economics
dc.identifier.issn 1392-2785 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2021
utb.relation.volume 32
utb.relation.issue 4
dc.citation.spage 338
dc.citation.epage 349
dc.type article
dc.language.iso en
dc.publisher Kaunas Univ Technol
dc.identifier.doi 10.5755/j01.ee.32.4.28536
dc.relation.uri https://inzeko.ktu.lt/index.php/EE/article/view/28536
dc.subject Six Sigma en
dc.subject Industry 4.0 en
dc.subject smart factory en
dc.subject simulation en
dc.subject Big Data en
dc.description.abstract Contemporary world with constantly increasing speed of change and rapid development of technologies is challenging companies to accustom to existing complexity. This led to the fact that various methodologies change accordingly. Practitioners and researchers are seeking the ways to ameliorate processes using emerging technologies. One of the methodologies is Six Sigma that has always been connected with technologies necessary for data collection and analysis. The emergence of new technologies might benefit or challenge Six Sigma. In this paper an attempt has been performed to analyze the trends in research output of the conjunction of Industry 4.0 technologies and Six Sigma methodology. This paper is based on the bibliometric analysis. In the process of analysis, it was found that the combination of Six Sigma methodology and Industry 4.0 technology has positive potential, however, not all of the technologies have been analyzed. en
utb.faculty Faculty of Management and Economics
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1010659
utb.identifier.obdid 43882665
utb.identifier.scopus 2-s2.0-85121026973
utb.identifier.wok 000712856500004
utb.source J-wok
dc.date.accessioned 2021-11-19T09:40:25Z
dc.date.available 2021-11-19T09:40:25Z
dc.description.sponsorship Internal Grant Agency of Tomas Bata University in Zlin [IGA/FaME/2020/009]; znalostni informacni systemy jako podpora podniku v Industry 4.0"
dc.rights Attribution 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Efimova, Anastasia
utb.contributor.internalauthor Briš, Petr
utb.contributor.internalauthor Efimov, Alexander
utb.fulltext.affiliation Anastasia Efimova1,*, Petr Bris1, Alexander Efimov2 1 Faculty of Management and Economics, Tomas Bata University Mostni 5139, 760 01, Zlin, Czech Republic E-mail. efimova@utb.cz (corresponding author*); bris@utb.cz 2 Faculty of Applied Informatics, Tomas Bata University Nad Stranemi 4511, 760 05 Zlin, Czech Republic E-mail. efimov@utb.cz
utb.fulltext.dates Received in February 2021 accepted in October 2021
utb.fulltext.sponsorship The author is thankful to the Internal Grant Agency of Tomas Bata University in Zlin No. IGA/FaME/2020/009 "Optimalizace procesu a znalostni informacni systemy jako podpora podniku v Industry 4.0" for financial support to carry out research.
utb.wos.affiliation [Efimova, Anastasia; Bris, Petr] Tomas Bata Univ, Fac Management & Econ, Mostni 5139, Zlin 76001, Czech Republic; [Efimov, Alexander] Tomas Bata Univ, Fac Appl Informat, Nad Stranemi 4511, Zlin 76005, Czech Republic
utb.scopus.affiliation Faculty of Management and Economics, Tomas Bata University, Mostni 5139, Zlin, 760 01, Czech Republic; Faculty of Applied Informatics, Tomas Bata University, Nad Stranemi 4511, Zlin, 760 05, Czech Republic
utb.fulltext.projects IGA/FaME/2020/009
utb.fulltext.faculty Faculty of Management and Economics
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.ou -
utb.identifier.jel -
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Attribution 4.0 International Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je Attribution 4.0 International