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.
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Dankert, A.C., Dekkiche, H., Baadel, S., Kabene, S. (2017). Clustering Countries According to Their Cultural Proximity and Similarity. In: Benlamri, R., Sparer, M. (eds) Leadership, Innovation and Entrepreneurship as Driving Forces of the Global Economy. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-319-43434-6_32
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DOI: https://doi.org/10.1007/978-3-319-43434-6_32
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