Enterprise Supply Chain from the Perspective of Socioeconomics——Taking Taobao and Amazon as Examples
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
With the rapid development of the Internet in the world, the Internet has connected the world as a whole, and online shopping has brought many conveniences to people. People can buy items from all over the world on their mobile phones or computers. Especially in the sudden epidemic period, people stay at home, so online shopping has gradually become the choice of more and more people. This paper mainly studies the corporate supply chains of Taobao and Amazon and their supply policy changes and impacts before and after the epidemic. This paper uses literature analysis method and others to analyze and study this topic. Research data are mainly obtained from professional articles or literature. The results of the study found that both companies found suitable measures for their own supply chain development during the epidemic, and adopted them in a timely manner, and finally achieved unexpectedly good results both at the economic level and social employment level.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it