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Profiling nascent entrepreneurs in Croatia - neural network approach
A significant body of research has been conducted to identify the most important characteristics of nascent entrepreneurs. The aim of this paper is to create a model for recognizing nascent entrepreneurs in Croatia, using the Global Entrepreneurship Monitor (GEM) data for 2014. In this research, the...
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| Published in: | Ekonomski vjesnik 2019-01, Vol.32 (2), p.335-346 |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
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| container_end_page | 346 |
| container_issue | 2 |
| container_start_page | 335 |
| container_title | Ekonomski vjesnik |
| container_volume | 32 |
| creator | Mezulić Juric, Petra Has, Adela Koprivnjak, Tihana |
| description | A significant body of research has been conducted to identify the most important characteristics of nascent entrepreneurs. The aim of this paper is to create a model for recognizing nascent entrepreneurs in Croatia, using the Global Entrepreneurship Monitor (GEM) data for 2014. In this research, the artificial neural networks were used as a machine learning method which enabled the recognition of nascent entrepreneurs, as well as the selection of most important variables and profiling. The suggested model includes variables that describe examinees’ attitudes, skills and demographic characteristics, while the binary output variable identifies a nascent entrepreneur. In addition to testing the accuracy of the suggested model, the contribution of this paper lies in the profiling of nascent entrepreneurs in Croatia. This model could be a valuable tool for the government and entrepreneurship support institutions in creating policies and programmes based on recognizing the most important features of nascent entrepreneurs in order to improve entrepreneurial ecosystems. |
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This model could be a valuable tool for the government and entrepreneurship support institutions in creating policies and programmes based on recognizing the most important features of nascent entrepreneurs in order to improve entrepreneurial ecosystems.</description><subject>Age groups</subject><subject>Careers</subject><subject>Economy</subject><subject>Education</subject><subject>Entrepreneurs</subject><subject>Entrepreneurship</subject><subject>GEM</subject><subject>Gender</subject><subject>Inheritances</subject><subject>Machine learning</subject><subject>modelling</subject><subject>nascent entrepreneurs</subject><subject>neural network</subject><subject>Neural networks</subject><subject>Perceptions</subject><subject>Self employment</subject><subject>Startups</subject><subject>Variables</subject><subject>Wages & salaries</subject><issn>0353-359X</issn><issn>1847-2206</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpFj1tLxDAQhYMouKz7D3wI-FzIJE3SPMp6W1jQBwXfQq5ra21q2kX892ZdwYHhwJnDx5kTtICmlhWlRJyiBWGcVYyr13O0mqaOlOFSKcIW6OYpp9j27bDDg5lcGGZcNocxhyHs84TbAa9zMnNrcIUPlumLzF8pv2MzjuXk3i7QWTT9FFZ_ukQvd7fP64dq-3i_WV9vK0cZm6uGEMcbQyyNtQMfmapBEhCCWAVAZQ3cBstjsEKSGINppA3Uek8YcUJYtkSbI9cn0-kxtx8mf-tkWv1rpLzTJs-t64MGiI0SEEE4WnsHSnjfMAo-1JQTc2BdHVnlhc99mGbdpX0eSn1dynIAYEqU1OUx5UJI_X-koaWTZD8TnGqg</recordid><startdate>20190101</startdate><enddate>20190101</enddate><creator>Mezulić Juric, Petra</creator><creator>Has, Adela</creator><creator>Koprivnjak, Tihana</creator><general>Sveučilište Josipa Jurja Strossmayera u Osijeku, Ekonomski fakultet u Osijeku</general><general>Josip Juraj Strossmayer University of Osijek, Faculty of Economics in Osijek</general><general>J.J. 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| ispartof | Ekonomski vjesnik, 2019-01, Vol.32 (2), p.335-346 |
| issn | 0353-359X 1847-2206 |
| language | eng |
| recordid | cdi_ceeol_journals_820307 |
| source | ABI/INFORM Global (ProQuest); Publicly Available Content Database |
| subjects | Age groups Careers Economy Education Entrepreneurs Entrepreneurship GEM Gender Inheritances Machine learning modelling nascent entrepreneurs neural network Neural networks Perceptions Self employment Startups Variables Wages & salaries |
| title | Profiling nascent entrepreneurs in Croatia - neural network approach |
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