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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Bibliographic Details
Published in:Ekonomski vjesnik 2019-01, Vol.32 (2), p.335-346
Main Authors: Mezulić Juric, Petra, Has, Adela, Koprivnjak, Tihana
Format: Article
Language:English
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
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Summary: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.
ISSN:0353-359X
1847-2206