Abstract
This study responds to a gap in the literature by exploring how participation in a structured start-up programme impacts the business activities of entrepreneurs and their future skill needs in a post-training context. This study applies the concept of dynamic learning as the theoretical framework. This study presents key insights based on the experiences of six different cohorts of entrepreneurs (n=120) who, for 18-24 months, participated in a structured start-up programme. Quantitative data was collected using pre- and post- training surveys. Latent class and logistic regression analyses grouped participants into distinct pre-intervention and post-intervention typologies. The results indicate that there are distinct types of entrepreneurs at the beginning of a start-up programme and that there are different, distinct types of entrepreneurs at the end. Post-training entrepreneurial typologies are found to have discrete training needs, which has implications for the design and delivery of subsequent iterations and training courses. This study highlights the necessity for varied and continuous entrepreneurial training. The measurement approach serves as a resource for other researchers attempting to profile entrepreneurs and examine the efficacy of entrepreneurial support systems and programmes. Typologies can be used to compare the perceptions and abilities of entrepreneurs in terms of their initial training needs, the benefit and impact of the training they receive, and their ongoing learning needs.
| Original language | English |
|---|---|
| Pages (from-to) | 2454-2474 |
| Number of pages | 21 |
| Journal | International Journal of Entrepreneurial Behavior & Research (IJEBR) |
| Volume | 31 |
| Issue number | 10 |
| Early online date | 11 Aug 2025 |
| DOIs | |
| Publication status | Published (in print/issue) - 21 Oct 2025 |
Bibliographical note
Publisher Copyright:© 2025 Emerald Publishing Limited
Keywords
- start-up programmes
- dynamic learning
- latent class analysis
- typologies
- Start-up programmes
- Typologies
- Latent class analysis
- Dynamic learning