Factors Affecting Individual Attitudes and Perceptions towards Entrepreneurship: Does Education Really Matter?
Bibliographic record
Abstract
Emphasizing the importance of new enterprises, studies have immensely attempted to explore what affect the entrepreneurship intentions of both potential and nascent entrepreneurs. In the literature, one of the factors with unclear effects on the entrepreneurship is the education that ambiguous results underline the necessity of distinguishing between educations. The purpose of this paper is to identify the factors affecting the attitudes and perceptions towards entrepreneurship with a special focus on the education classified as general and entrepreneurship education/training. The study uses a panel dataset of 11 European Union countries and over the period of 2007-2013, based on the Global Entrepreneurship Monitor’s surveys pool. Findings reveal that the effects of the education indicators are still inconclusive and in general, individual attitudes and perceptions are more sensitive to the market-based aspects. Overall results support the premise that education in both general and entrepreneurial contexts is needed to be customized according to country-specific dynamics.
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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 | 0.002 |
| Open science | 0.000 | 0.000 |
| 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".