Clustering Countries According to Their Cultural Proximity and Similarity

dc.contributor.author Dankert, Angelika C.
dc.contributor.author Dekkiche, Hamoud
dc.contributor.author Baadel, Said
dc.contributor.author Kabene, Stefane M.
dc.date.accessioned 2022-04-08T06:09:20Z
dc.date.available 2022-04-08T06:09:20Z
dc.date.copyright © 2017
dc.date.issued 2017
dc.description This conference paper is not available at CUD collection. The version of scholarly record of this conference paper is published in Springer Proceedings in Business and Economics (2017), available online at: https://doi.org/10.1007/978-3-319-43434-6_32 en_US
dc.description.abstract Clustering countries mathematically according to Geert Hofstede’s cultural proximity and similarity factors is one way of classifying regional communities into well-defined cultural categories. Trying to test this statement mathematically shows that classifying countries or cultures remains complex. The approach shows a lack of an overall scheme and even when common variables exist, it seems that random and coincidental similarity weighs strongly on most variables used in the model. The results emphasize the need for more research in order to support the model. © 2017, Springer International Publishing Switzerland. en_US
dc.identifier.citation Dankert, A. C., Dekkiche, H., Baadel, S., & Kabene, S. (2017). Clustering countries according to their cultural proximity and similarity. In R. Benlamri & M. Sparer (Eds.) Leadership, Innovation and Entrepreneurship as Driving Forces of the Global Economy. Springer Proceedings in Business and Economics (pp. 373-393.). Springer, Cham. https://doi.org/10.1007/978-3-319-43434-6_32 en_US
dc.identifier.isbn 978-331943433-9
dc.identifier.issn 21987246
dc.identifier.uri http://hdl.handle.net/20.500.12519/529
dc.identifier.uri https://doi.org/10.1007/978-3-319-43434-6_32
dc.language.iso en en_US
dc.publisher Springer Science and Business Media B.V. en_US
dc.relation Authors Affiliations : Dankert, A.C., Hochschule Aschaffenburg, Aschaffenburg, Germany; Dekkiche, H., Canadian University of Dubai, Dubai, United Arab Emirates; Baadel, S., Canadian University of Dubai, Dubai, United Arab Emirates, University of Huddersfield, Huddersfield, United Kingdom; Kabene, S., Canadian University of Dubai, Dubai, United Arab Emirates
dc.relation.ispartofseries Springer Proceedings in Business and Economics;
dc.rights License to reuse the abstract has been secured from Springer Nature and Copyright Clearance Center.
dc.rights.holder Copyright : © 2017, Springer International Publishing Switzerland.
dc.rights.license License Number: 5275340639285 License date: Mar 24, 2022
dc.rights.uri https://s100.copyright.com/CustomerAdmin/PLF.jsp?ref=ab226fdc-664e-4a99-af5b-fde2b3179896
dc.subject Cultural dimensions en_US
dc.subject Cultural proximity en_US
dc.subject Geert Hofstede en_US
dc.subject Robert J. House en_US
dc.subject Wheel of cultural clusters en_US
dc.title Clustering Countries According to Their Cultural Proximity and Similarity en_US
dc.type Conference Paper en_US
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