Determinants of Entrepreneurial Intention Among Students: Perceived Role of the Academic and Socio- Institutional Environment
Bibliographic record
Abstract
This article aims to analyze the influence of the academic and socio-institutional environment on the entrepreneurial intention of students in Benin. Using the snowball sampling technique, data collection was carried out based on a questionnaire distributed to a sample of 325 students from public and private universities in Benin. The estimation of the ordered logistic regression model with STATA 13 shows that the entrepreneurial intention of students in Benin is characterized by entrepreneurial education, innovation, and risk propensity. Moreover, unlike government support, variables related to perceived cultural norms and social legitimacy of entrepreneurship negatively moderate the effect of entrepreneurship education on students’ entrepreneurial intention in Benin. As a contribution to the literature, this paper shows the crucial role of students’ education in the acquisition of entrepreneurial skills that enhance entrepreneurial capacity and lead them to develop skills that help them start businesses.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".