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GEM is widely acknowledged to be the best source of comparative entrepreneurship data in the world (Shorrock, 2008) and has been utilized in studies published in leading journals (e.g., Bowen & De Clercq, 2007).
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Then, the clustering results of the countries based on their nascent entrepreneurship rate data are presented.
The use of global entrepreneurship monitor data in this study has helped us to understand the relationship between EC and its determinants.
In this paper, we examine the formation of attitudes that are favorable to entrepreneurship using data from 185 business students in South India.
However, Shapero (1982) examines the concept of desirability for entrepreneurship using data on the family and peer groups and concludes that, in particular, the father or mother plays the most powerful role in establishing the desirability of the entrepreneurial behavior.
Then, for each number of clusters within this range, the clustering algorithm presented in Algorithm 1 is run using the "Nascent Entrepreneurship Rate" data and the number of clusters is chosen on the basis of Average Silhouette Values in order to provide sufficient freedom to the algorithm to group similar countries together.
For the analyses, fuzzy clustering method is applied on the entrepreneurship key indicators data, obtained from the Global Entrepreneurship Monitor (GEM) study.
Clustering countries and ordering these clusters with respect to their nascent entrepreneurship rates harmonize data across countries and provide international comparisons that are beneficial in a global context.
If self-employment rates are an indicator of entrepreneurship, the Spanish data show that the sign of the association between entrepreneurship and average productivity differs, depending on the indicator of entrepreneurship used in the analysis.
Over the last six years, it has invested around $50 million on academic research to understand what makes entrepreneurs tick and what policies are most conducive to entrepreneurship and to construct data bases to permit analyses of these subjects.
One look at the data on entrepreneurship shows just how significant the change has been.
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