The effect of supply network and management control system on the efficiency and profitability of manufacturing companies
Bibliographic record
Abstract
This research was conducted to analyze the influence of supply networks and management control systems on manufacturing companies' efficiency and profitability in East Java, Indonesia. With increasing competition, it takes the design of a system integrated to obtain profitability of the company. The study uses a quantitative descriptive method with a survey approach using a questionnaire data collection tool. Data analysis is operated using the theory of path analysis to determine the magnitude of the value of each construct calculated in the test equipment. From the results of the tests that have been conducted, only the supply network has no significant effect on efficiency. At the same time, other variables have a close and meaningful relationship. The study concluded that only one construct of the five hypotheses had an insignificant influence on bound variables. The main finding of this study is that companies should also have sensitivity to the social environment created as part of the supply network, as it can reduce the value of the Company's profitability if not designed appropriately and accurately.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".