The Impact of Gender on Entrepreneurial Intention in a Peripheral Region of Europe: A Multigroup Analysis
Bibliographic record
Abstract
The last two decades were characterized by an increase in attention on entrepreneurship. An emerging trend in the literature is associated with the different contributions that genders may have regarding entrepreneurship and entrepreneurial intentions. This paper assesses gender impact on entrepreneurial intention in a peripheral region of Europe. The methodology used is quantitative and based on a sample of 1114 observations. The obtained results suggest that women’s perceived behavioral control does not have a less direct positive impact on entrepreneurial intention when compared to men’s. Women’s personal attitude has a less direct positive impact on entrepreneurial intention when compared to men’s, as social norms, on the one hand, have a less direct positive impact on women’s personal attitude when compared to men’s, and, on the other hand, have a less direct positive impact on women’s perceived behavioral control when compared to men’s. Finally, it was also verified that social norms have a less positive indirect impact through personal attitude and perceived behavioral control on women’s entrepreneurial intention when compared to men’s. These findings contribute to enlighten the literature by strengthening the theoretical framework on women’s entrepreneurial intention in peripheral regions. Regarding practical contributions, suggestions are addressed to public decision makers, universities, and civil society, to adopt practices to increase entrepreneurship in women. This research is original because it is the first to perform this study in Portugal, a peripheral region of Europe.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".