Entrepreneurship orientation and performance of small and medium sizes enterprises in bamenda III
Bibliographic record
Abstract
Economic growth is mostly dependent on small and medium-sized businesses (SMEs), especially in Bamenda III and similar districts. Examining how an entrepreneurial mindset affects the success of small and medium-sized enterprises (SMEs) in Bamenda III was the primary goal of this research. The study implemented a structured questionnaire and analyzed based on both descriptive and inferential statistics. Results from the ordinary least squares revealed that proactiveness behavior exerted a positive significant effect on SMEs_Performance in Bamenda III. Similarly, risk taking had a coefficient of 0.788, indicating a positive relationship with SMEs_Performance. Competitive aggressiveness had a positive coefficient indicating a positive association with SMEs_Performance, although it was not statistically significant at the conventional significance level. Innovativeness behavior had a positive statistically significant effect on SMEs_Performance. From a policy perspective, enhancing the entrepreneurial skills and mindset of SME owners and employees can foster a greater entrepreneurial orientation, leading to improved business performance.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".