Firm Characteristics and Its Adaptive Capacity in Response to Environmental Requirements: An Empirical Study of Vietnam’s Textile and Garment SMEs
Bibliographic record
Abstract
This paper investigates the relationship between the characteristics of textile and garment small and medium sized enterprises (SMEs) in Vietnam and their adaptive capacity. A scoring method was applied to measure each firm’s adaptive capacity based on 6 criteria that measured internal capacity, strategies for adapting and the actual level of adaptation. Multiple linear regression analysis was employed to test four hypotheses which were developed based on the findings of current literature. Three out of four hypotheses are supported by the analysis, which shows a positive correlation between firm size, operation type, firm age and its adaptive capacity. The ownership type does not have a statistically significant relationship with a firm’s adaptive capacity. The results are strongly supported by qualitative results and field observations. Despite a number of limitations, the study is a first contribution to the literature providing insights on the adaptive capacity of SMEs in Vietnam’s textile and garment industry.
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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 | 0.000 |
| 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 | 0.001 |
| Open science | 0.000 | 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".