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Clustering Countries According to Their Cultural Proximity and Similarity

In: Leadership, Innovation and Entrepreneurship as Driving Forces of the Global Economy

Author

Listed:
  • Angelika C. Dankert

    (Hochschule Aschaffenburg)

  • Hamoud Dekkiche

    (Canadian University of Dubai)

  • Said Baadel

    (Canadian University of Dubai
    University of Huddersfield)

  • Stefane Kabene

    (Canadian University of Dubai)

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.

Suggested Citation

  • Angelika C. Dankert & Hamoud Dekkiche & Said Baadel & Stefane Kabene, 2017. "Clustering Countries According to Their Cultural Proximity and Similarity," Springer Proceedings in Business and Economics, in: Rachid Benlamri & Michael Sparer (ed.), Leadership, Innovation and Entrepreneurship as Driving Forces of the Global Economy, chapter 0, pages 373-393, Springer.
    • Handle: RePEc:spr:prbchp:978-3-319-43434-6_32
    DOI: 10.1007/978-3-319-43434-6_32
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