Third-Party Logistics (3PL) and Supply Chain Performance in the Chinese Market: A Conceptual Framework
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
Supply chains are becoming more international and sophisticated. With the globalization of businesses, competition between enterprises has evolved to competition between supply chains. The development of third party logistics (3PL) service can help supply chain to achieve cost reduction and shorten lead time simultaneously. For this reason, third party logistics has been integrated into supply chain to enhance supply chain performance. However, we notice that not only is the research on China’s 3PL still in its infancy, but also the role of 3PL in supply chain is not well examined from the Chinese market perspective. The intent of this study is to fill the void by providing a framework addressing how to leverage third-party logistics to improve supply chain performance in the Chinese market. The intended contribution of this study is that we hope our research constitutes a pioneer study that conceptually addresses the relationship between 3PL and supply chain performance, upon which data from the Chinese market can be tested.
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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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