The influence of environmental uncertainty, organizational structure and distribution network competence on the quality of supply chain management information systems
Why this work is in the frame
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Bibliographic record
Abstract
This study aims to find empirical evidence regarding the factors that affect the quality of information systems and the quality of supply chain management as seen from the environmental uncertainty of the organizational structure and the distribution network competence in manufacturing companies in Medan, Indonesia. The research method used is quantitative and verification that aims to determine the relationship between variables through a hypothesis testing. The data used are primary data using a questionnaire aimed at functional managers of marketing managers and production managers with a Likert scale. The study uses a sampling technique through a census of the entire population as a unit of analysis as many as 206 managers spread across 103 manufacturing companies in the city of Medan. Data analysis was performed through multiple linear regression analysis. The results showed that environmental uncertainty, organizational structure, and distribution network competence partially and simultaneously affected the quality of supply chain management information systems in manufacturing companies.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 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