Entrepreneurial success factors: An exploratory study based on Data Mining Techniques
সংরক্ষণ করুন:
| লেখক: | , |
|---|---|
| বিন্যাস: | artículo original |
| বর্তমান অবস্থা: | Versión publicada |
| প্রকাশনার তারিখ: | 2015 |
| বিবরন: | Since 2007, the CCEE Entrepreneurship Centre has developed a supporting program for entrepreneurs. A preliminary analysis to determine if the venture was successful or a failure is made to improve the program’s management . In this article, the authors identify the main factors associated with entrepreneurship’s success, and how they can anticipate entrepreneurship’s performance. The case study is based on a survey data applied to the Entrepreneurship Program participants. The two data mining techniques are decision trees and logistic regression. The results were consistent across both tech- niques. The findings show that the two most important elements to predict entrepreneurship’s success are fun- ding and previous experience as self-employed. The results provided very useful insight about the best ways to support entrepreneurship, how to encoura- ge entrepreneurs, and define tools or activities to impact positively ventures success in Uruguay, since similar stu- dies have not been developed. |
| দেশ: | Portal de Revistas TEC |
| প্রতিষ্ঠান: | Instituto Tecnológico de Costa Rica |
| Repositorio: | Portal de Revistas TEC |
| ভাষা: | Español |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/2206 |
| অনলাইন ব্যবহার করুন: | https://revistas.tec.ac.cr/index.php/tec_empresarial/article/view/2206 |
| মুখ্য শব্দ: | Emprendedurismo contexto emprendedor minería de datos éxito emprendedor proceso emprendedor Entrepreneurship entrepreneurial context dara mining entrepreneurial success entrepreneurship process |