Modelling the relationship between prior entrepreneurial exposure, entrepreneurship education and entrepreneurial action using neural networks
Datos Bibliográficos
| ID | 21540958 |
|---|---|
| Autores | Melodi Botha (0000-0002-4014-9729, University of Pretoria, autor de correspondencia), Marthi Pohl (University of Pretoria), Lubinda Mubita (University of Pretoria) |
| Año | 2021 |
| Volumen | 38 |
| Número | 2 |
| Páginas | 264-281 |
| Fecha de publicación | 2021-03-04 |
| Peer Reviewed | Sí |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | Development Southern Africa (JOURNAL) |
| Identificadores de la revista | ISSN: 0376-835X • E-ISSN: 1470-3637 |
| Editorial | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/0376835x.2020.1826291 |
| OpenAlex | W3092151380 |
| Idioma | EN |
| Referencias citadas | 52 |
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
The Relationship between Entrepreneurship Education and Entrepreneurial Intentions
Where do they come from? Prevalence and characteristics of nascent entrepreneurs
The role of social and human capital among nascent entrepreneurs
The Impact of an Entrepreneurship Education Program on Entrepreneurial Competencies and Intention
The Impact of Entrepreneurship Education in Higher Education
The effect of education and experience on self-employment success
The impact of entrepreneurship education on entrepreneurship skills and motivation
Assessing the impact of entrepreneurship education programmes
Gender, Entrepreneurial Self–Efficacy, and Entrepreneurial Career Intentions
Do entrepreneurship programmes raise entrepreneurial intention of science and engineering students? The effect of learning, inspiration and resources
The role of entrepreneurship education as a predictor of university students’ entrepreneurial intention
Financial Capital, Human Capital, and the Transition to Self‐Employment
Enterprise Education
The effects of entrepreneurship education
The Impact of Entrepreneurship Education on Entrepreneurial Attitudes and Intention
Putting Entrepreneurship Education Where the Intention to Act Lies
The theory of planned behavior
Ageing and entrepreneurial preferences
Identity and entrepreneurship
Parental role models and the decision to become self-employed
The Theory of Planned Behaviour as Predictor of Entrepreneurial Intent Amongst Final-Year University Students
Does entrepreneurship education in the first year of higher education develop entrepreneurial intentions? The role of learning and inspiration
Social Learning Theory
| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |