Modelling the relationship between prior entrepreneurial exposure, entrepreneurship education and entrepreneurial action using neural networks

Dados Bibliográficos

ID21540958
AutoresMelodi Botha (0000-0002-4014-9729, University of Pretoria, autor correspondente), Marthi Pohl (University of Pretoria), Lubinda Mubita (University of Pretoria)
Ano2021
Volume38
Fascículo2
Páginas264-281
Data de publicação2021-03-04
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoDevelopment Southern Africa (JOURNAL)
Identificadores do periódicoISSN: 0376-835X • E-ISSN: 1470-3637
EditoraInforma UK Limited (PUBLISHER • GB)
DOI10.1080/0376835x.2020.1826291
OpenAlexW3092151380
IdiomaEN
Referências citadas52

Previous work on the relationships between entrepreneurship education, prior entrepreneurial exposure and entrepreneurial action has resulted in mixed findings. However, this work typically relies on linear models which may not adequately account for the relationships. Therefore, we explore artificial neural networks (ANN) to test non-linear relationships and compare these results with a linear regression model to understand the previous mixed findings. Data from 125 entrepreneurship graduates in Zambia revealed that a non-linear model best explained the variation in entrepreneurial action, whereby the relationship was cubic. These results explain some of the previously mixed findings and demonstrate the importance of educators, policy makers and scholars paying attention to non-linear relationships when aiming to promote and further understand entrepreneurship. Therefore, this paper has implications for educational initiatives aiming to augment entrepreneurship education, while also contributing to the development of theory explicating the relationship between entrepreneurial exposure, education and action

Business · Entrepreneurship · Entrepreneurship education · Linear model · Linear relationship · Machine learning · Sociology · Statistics · Computer Science · Entrepreneurship Studies and Influences · Innovation and Socioeconomic Development · Mathematics · Private Equity and Venture Capital · Psychology