Entrepreneurship Education as a Catalyst of Business Start-Ups: A Study on Malaysian Community College Students
Bibliographic record
Abstract
This study investigates the effect of entrepreneurship education on the Malaysian community college students’ inclination towards entrepreneurship. It is built on the previous study by Ooi (2008) which examined the university students’ inclination towards entrepreneurship. A sample consisting of 235 students were drawn from four community colleges located in the Malaysian northern region. The students were in the final year of their diploma studies in various disciplines. A survey questionnaire was employed to elicit responses concerning their entrepreneurship inclination and characteristics. Descriptive statistics were used to analyse respondents’ characteristics and Partial Least Square Structural Equation Modelling (SEM-PLS) was employed in determining the relationship among the variables of the study. The results of the study indicated that 51 per cent of the community college students would consider commencing a business as their future vocation, whilst 33 per cent stated that they are probably to start a new business venture after completion of their studies. This could be attributed to the effort taken by the community colleges in promoting entrepreneurship among students. The entrepreneurial factors: role models and the role played by the community colleges in promoting entrepreneurship showed a statistically significant positive influence on community college students’ decision to pursue an entrepreneurial career. The Partial Least Square – Multi Group Analysis (PLS-MGA) employed for moderating the personal background variables indicated no significant differences on path coefficients between the various groups across gender and working experience. An exception was the effect of role models on entrepreneurial inclination, which was significantly higher with those participants without working experience. Recommendations and future research direction are delivered in relation to the findings of this study.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".