The factors affecting digital transformation in small and medium enterprises in Hanoi city
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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 it