Analysis of Small and Medium-Sized Enterprises’ E-Commerce Development Status in China in the New Economy Era
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
E-commerce has become a new operation model in the new economy ear and the growth point of national economy. Since 1990s, e-commerce has risen and developed rapidly in the entire world, and been changing the original economic pattern as well as the original operation model and economic level. E-commerce has facilitated the development of new economy and become the prerequisite for economic globalization, made e-commerce an important symbol of economic globalization and promoted sustainable development of social economy. Small and medium-sized enterprises (SMEs) play a proactive role in China’s economic development. E-commerce can not only reduce operation cost and enhance economic benefits of small and medium-sized enterprises but also provide them with opportunities for competing with large enterprise and wider market space. However, they inevitably encounter varied barriers in the process. This paper proposed some solutions for problems existing in the development of small and medium-sized enterprises in the hope of making small and medium-sized enterprises further conduct e-commerce in a scientific and reasonable way in the new economy era.
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 | 0.000 | 0.001 |
| Open science | 0.001 | 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