Key Determinants of SMEs in Vietnam. Combining Quantitative and Qualitative Studies
Bibliographic record
Abstract
This paper aims to identify key determinants impacting on a firm performance of Small and Medium-sized Enterprises (SMEs) in Viet Nam. SMEs have contributed significantly to the overall Vietnamese economy. However, in the context of emerging market in Viet Nam nowadays, SMEs have to deal with a tough competitive market. Hence, an awareness what factors enhancing firm performance enables them to achieve sustainable development. Based on the survey of 2551 Viet Nam SMEs, which was conducted by Science & Social Association, Viet Nam Ministry of Labor- Invalids and Social Affairs, the paper provides the holistic view of several perspectives’ impacts on the performance of SMEs. We find out that three main factors, including human resource, education level of entrepreneurs and training cost have significant effects on the performance. As considering in the field of international trade, the results illustrate the more SMEs conduct export activities, the better enterprises’ performance. Specifically, we point out that other factors such as formalization, credit access, informal loan and firm location are strongly associated with the performance. Furthermore, we also conducted in-depth interviews with 6 entrepreneurs and top managers to explore current challenges of Vietnamese SMEs and suggest appropriate solutions to overcome them.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".