Examination of Entrepreneurial Intentions in Different Countries using Decision Tree Technique: Evidence from GEM Data
By: Das, Dipankar
Contributor(s): Chaudhuri, Rimu
Material type:
ArticlePublisher: 2015Description: 154 - 165Subject(s): Decision Tree | Entrepreneurial Intention | Psychology And Entrepreneurship | Entrepreneurship | Eleventh Biennial Conference On Entrepre | Biennial Conference PapersOnline resources: Click here to access online
In:
Eleventh Biennial Conference on Entrepreneurship/ Edited by Sasi Misra, Dinesh Awasthi, Ganapathi BatthiniSummary: Previous studies have showed us that Entrepreneurial Intention (EI) depends on different factors like gender, age, income level and educational background of the persons. In this present study we intend to do an in-depth study to analyze that among these variables which one is the best predictor of EI. For doing this analysis we have used decision tree classifier. The Global Entrepreneurship Monitor (GEM) 2008 APS global individual level data have been used for this study. In our present study we have explored the data of total ten (10) countries in which nine (9) are from G20 group of nations namely India, Japan and Republic of Korea from Asia; UK, France and Germany from Europe; Brazil from South America; USA and Mexico from North America. Another country is from outside the G20 group namely Chile which is a South American country. In this study, we have observed that the best predictor of EI is not same in all these countries and age is the best predictor for most of the countries.
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Ahmedabad (HO) | (Browse shelf) | Available | 018981 |
Previous studies have showed us that Entrepreneurial Intention (EI) depends on different factors like gender, age, income level and educational background of the persons. In this present study we intend to do an in-depth study to analyze that among these variables which one is the best predictor of EI. For doing this analysis we have used decision tree classifier. The Global Entrepreneurship Monitor (GEM) 2008 APS global individual level data have been used for this study. In our present study we have explored the data of total ten (10) countries in which nine (9) are from G20 group of nations namely India, Japan and Republic of Korea from Asia; UK, France and Germany from Europe; Brazil from South America; USA and Mexico from North America. Another country is from outside the G20 group namely Chile which is a South American country. In this study, we have observed that the best predictor of EI is not same in all these countries and age is the best predictor for most of the countries.
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