The effect on entrepreneurship student program on student’s entrepreneurial behavior in Indonesia
Bibliographic record
Abstract
This study adopts the Theory of Planned Behavior (TPB) framework to examine the effect of the government-initiated Entrepreneurship Student Program (ESP) on the entrepreneurial intentions and behavior of students. In addition, the research also examines the market information adequacy and standard psychological components of TPB, namely attitude, subjective norms, and perceived behavioral control as predictor variables. Data are collected from 208 university students in Semarang, Indonesia, with the Partial Least Squares - Structural Equation Modeling (PLS-SEM) technique employed for analysis. The result shows that ESP and the adequacy of market information directly influence the entrepreneurial behavior of Indonesian students, while the influence of attitudes and perceived behavior control is mediated by entrepreneurial intention. In conclusion, this study implies that ESP can be considered effective in preparing and facilitating entrepreneurship among university students, therefore the government needs to consider increasing its availability to cover a larger number of universities in Indonesia.
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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 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".