The influence of religious orientation on supply chain quality management through ethics as an intervening variable in leather jacket SMEs
Bibliographic record
Abstract
The research location was carried out in Garut, West Java, which is one of the potential regions for the development of leather jackets for small and medium enterprises (SMEs) in Indonesia based on its comparative advantages. Garut Regency is expected to become the home base of national leather jacket SMEs in Indonesia that are competitive and sustainable. The aim of this research was to analyze the influence of Religious Orientation (RO) on supply chain quality management through Ethics (E) as an intervening variable in Leather Jacket SMEs, Garut - West Java. What was interesting in this research and became a novelty was the inclusion of social science variables in maintaining the quality of supply chain management. In the stage of data collection, the study involved 88 entrepreneurs and leather jacket craftsmen as research respondents and processing was carried out using the Generalized Structured Component Analysis (GSCA) method. The results show that the relationship between RO variables can affect supply chain management variables, also through ethics. The implication of this research is that in running a business, to fix the quality of supply chain management, religious orientation is the important aspect.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".