Management of Student Entrepreneurship Development at the West Java-Indonesia Private Islamic College
Bibliographic record
Abstract
This study aims to explore the relations between the factors of the start-up environment and entrepreneurial intentions of students in universities in Vietnam and the Philippines by combining key elements of theory of reasoned action, theory of planned behaviour, theory of entrepreneurial events and model of entrepreneurial potential. Research findings were expected to test the appropriateness of this proposed model in the context of Vietnam and the Philippines. A bilateral survey was carried out among 819 students at five universities in Vietnam and the Philippines and the Structural Equation Modelling was applied to estimate the determinants of the students’ entrepreneurial intentions. The findings indicated that subjective norms, entrepreneurial education, entrepreneurial desirability, and entrepreneurial motivation were positively related to perceived feasibility. Entrepreneurial education was the key determinant of entrepreneurial intention. Barriers for startups demonstrated a negative effect on the perceived feasibility. The key role of entrepreneurial education to entrepreneurial intention was confirmed in both countries. However, there are existing challenges in entrepreneurial education which required more respective supports from governments to promote the enterprise development.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".