Toward marketing performance through supply chain management and knowledge sharing during the Covid19
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
The culinary business sector is the choice of the COVID-19 pandemic; Women entrepreneurs and the informal sector are looking for a foothold in the COVID-19 pandemic, which will lead women to develop creative businesses. This study examines the role of supply chain management in mediating the role of social capital and marketing performance, innovation on marketing performance, and the mediating role of sharing knowledge on marketing performance among women entrepreneurs in Bali. Purposive sampling is used in the sampling technique, with 229 samples used, the Structural Equation Modeling (SEM-PLS) analysis technique with SmartPLS for application processing. The results showed that in order to increase sales, retain customers and reach a high market, good quality products and services owned by the supply chain, from social networking relationships and knowledge sharing, are needed. However, the increase in marketing performance cannot increase even though women entrepreneurs have strong relationships.
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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 | 0.004 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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