Does Country Equate with Culture? Beyond Geography in the Search for Cultural Boundaries
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Citations
Imagined communities: Reflections on the origin and spread of nationalism
The Righteous Mind: Why Good People Are Divided by Politics and Religion
East meets west meets mideast: further explorations of collectivistic and individualistic work groups.
An overview of Hofstede-inspired country-level culture research in international business since 2006
A retrospective on Culture’s Consequences: The 35-year journey
References
Imagined Communities: Reflections on the Origin and Spread of Nationalism
Culture′s Consequences: International Differences in Work-Related Values
Culture′s Consequences: Comparing Values, Behaviors, Institutions and Organizations Across Nations
Imagined communities: Reflections on the origin and spread of nationalism
The Clash of Civilizations and the Remaking of World Order
Related Papers (5)
Frequently Asked Questions (11)
Q2. What are the future works mentioned in the paper "Does country equate with culture? beyond geography in the search for cultural boundaries by: vas taras," ?
It is this exact movement beyond country that the authors wish to inspire with the present research.
Q3. What are the important factors for clustering cultures?
Most notably, F-statistics consistently favor economic freedom, globalization extent, long-term unemployment, wealth distribution inequality, corruption, crime rate, and the share of employment in agriculture over country as a clustering function.
Q4. What was the common variable used in the LCM analysis?
The continuous version of the variable (i.e., years of schooling) was used in the Latent Class Modeling (LCM) analysis, while the ordinal categorical variable (i.e., highest degree) was used in ICC tests.
Q5. What would be needed to conduct such tests?
To conduct such tests, a dataset with all cultural dimensions in it (i.e., each respondent assessed along cultural dimensions) would be needed.
Q6. Why is the concept of person-organization fit well established?
The concept of person-organization fit is well established (Kristof-Brown et al. 2005), in which people are attracted to, and are less likely to leave, organizations sharing similar values to themselves.
Q7. What was the main variable used for the ICC analysis?
For the Intra Class Correlational (ICC) analysis, described in the following Data Analysis section, the continuous variable was split into three groups: mostly female (\\35 % male), mixed (35–65 %) and mostly male ([65 %).
Q8. What is the likely predictor of culture?
Even though the authors had 32 countriesin their dataset (i.e., the greater the number of categories, the more likely the variable would be significant), country was a statistically significant predictor only for masculinity and uncertainty avoidance, and then only at p < 0.05.
Q9. What is the complete list of studies in the meta-analytic dataset?
Due to space restrictions, the complete list of studies included in their meta-analytic dataset could not be provided here, but is obtainable from the first author upon request.
Q10. Why are people in a village in china more collectivist than people in lower Manhattan?
People in a village in China are not more collectivist than people in lower Manhattan just because the two regions are on different continents, but likely because the residents in these two locations differ in terms of their socio-demographics and the politicoeconomic environments, which in turn lead to different needs, views, and values.
Q11. What are the important factors for setting boundaries for cultural entities?
With the exception of HDI and urbanization rate, every criterion the authors considered outperformed geography (i.e., country) as a criterion for setting boundaries for cultural entities.