The factors affecting digital transformation in small and medium enterprises in Hanoi city
Bibliographic record
Abstract
This study evaluates the factors affecting digital transformation for small and medium enterprises (SMEs) in Hanoi city. The research team determined the factors affecting digital transformation for small and medium enterprises based on some models such as the Theory of reasoned action (TRA), Technology Acceptance Model (TAM), Theoretical of planned behavior (TPB), C-TAM-TPB model and Unified Model of Technology Adoption and Use. The research results identify the model of factors that affect the argument transformation SMEs in Hanoi city, including (1) Perceived usability; (2) Perceived behavioral control; (3) Social influence; (4) Expected efficiency, (5) Convenient conditions and (6) Risks existing in digital transformation. The results also show that there are 6 factors affecting the implementation of the credit union of SMEs in Hanoi city, of which 5 factors have positive effects and 1 factor has negative effects. In addition, the results also show that there are certain differences in the intentions and decisions of digital transformation between different types of enterprises.
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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 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".