Clustering Countries According to Their Cultural Proximity and Similarity

Date
2017
Authors
Dankert, Angelika C.
Dekkiche, Hamoud
Baadel, Said
Kabene, Stefane M.
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Science and Business Media B.V.
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.
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
Keywords
Cultural dimensions, Cultural proximity, Geert Hofstede, Robert J. House, Wheel of cultural clusters
Citation
Dankert, A. C., Dekkiche, H., Baadel, S., & Kabene, S. (2017). Clustering countries according to their cultural proximity and similarity. Paper presented at the Springer Proceedings in Business and Economics, 373-393. https://doi.org/10.1007/978-3-319-43434-6_32