2024-03-29T12:37:30Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/72442023-03-17T08:48:30Zcom_10259_5841com_10259_5086com_10259_2604com_10259_4386com_10259_3847col_10259_5842col_10259_4387col_10259_3848
00925njm 22002777a 4500
dc
Luis Rico, María Isabel
author
Escolar Llamazares, María del Camino
author
Torre Cruz, Tamara de la
author
Jiménez, Alfredo
author
Herrero Cosío, Álvaro
author
Palmero Cámara, María del Carmen
author
Jiménez Eguizábal, Alfredo
author
2020-02
Studies of the socio-economic function of entrepreneurship have emphasized the critical
role that entrepreneurial competence and its implementation play at different stages of the education
system. In this paper, as a research objective, we seek to determine the entrepreneurial interest of
Spanish youth aged between 15 and 18 years of age enrolled in formal secondary education programs,
an initial stage in the development of entrepreneurship. A previously validated ad hoc questionnaire is
applied through simple random sampling to 1764 students at secondary school in Spain. A descriptive
cross-sectional study is carried out. The analysis is done with Artificial Neural Networks (ANNs),
a technique that reduces the high dimensionality of data through Cooperative Maximum Likelihood
Hebbian Learning (CMLHL), applying neurocomputational methods to the educational sciences.
We find as key results that Spanish youth express a medium level of interest in entrepreneurship.
Analysis with ANNs shows that education in entrepreneurial competence is an influential aspect of
interest in entrepreneurship. As a conclusion, our results suggest that educational and curricular
reforms must be undertaken to promote the development of entrepreneurial competence at various
stages of education in order to increase interest in entrepreneurship.
http://hdl.handle.net/10259/7244
10.3390/su12041351
2071-1050
Youth
Secondary education
Entrepreneurial intention
Entrepreneurial interest
Psychological variables
Entrepreneurial Interest and Entrepreneurial Competence Among Spanish Youth: An Analysis with Artificial Neural Networks