Entrepreneurship Intention Among Malaysian Business Students L'ESPRIT D'ENTREPRISE CHEZ LES ETUDIANTS EN COMMERCE MALAISIENS
Bibliographic record
Abstract
Research on entrepreneurship intention has and continues to be of interest to researchers due to its importance to the development for many countries. The literature on entrepreneurship intention has examined various issues with many focusing on the factors that influence entrepreneurship intention. However, most of these studies were conducted in a non-Malaysian setting. This study examines entrepreneurship intention among Malaysian Business Students. Using a questionnaire survey on undergraduate business students in a Malaysian public university, this study examines whether business students have an intention to pursue entrepreneurship. It also examines whether personality traits and environmental factors influence the students to become entrepreneurs. The results indicate that more than half of the respondents have an intention to become entrepreneurs and their decisions are attributed by the influence from their family members, academics and attending courses on entrepreneurship. The results also show that out of the two factors: personality traits and environmental, personality traits play an important role in influencing the students' decision to become entrepreneurs. The findings implicate that academics need to play a significant role in encouraging more students to become entrepreneurs by providing more awareness on the benefits of becoming entrepreneurs and in turn, contributing to the growth of the country's economies and global competitiveness.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 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".