The effect of supply chain management on multi-channel retaining and business performance
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
Pandemic covid has changed the business view to be more dynamic to business performance. The policy of restricting activity also undermines business difficulties that occur, so it is necessary to find how businesses can survive wholesale. This research was conducted to determine the effect of supply chain management (SCM) on multi-channel retailing and business performance in the era of pandemic covid-19 and restrictions on community mobility. Using analysis of this research path is divided into two criteria of direct and indirect influence. This study was conducted on several wholesale shops in Indonesia with 99 respondents. The main finding of this study is that SCM can affect business performance through multi-channel retailing with three main indicators: inventory investment, inventory efficiency, and forecasting accuracy. The added value gained from this research is from the test results obtained that a good inventory management scheme and forecasting and support from many supplies and sales channels will drive business performance for the better.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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