A study on the relationship between supply chain integration and firm performance
Bibliographic record
Abstract
This study aims to develop a measurement scale for Supply Chain Integration (SCI) and Firm Performance (FP) in Jordanian SMEs. The study instrument was developed based on the previous studies and the survey included 284 companies in Jordan. A sample of 263 responses were used for exploratory analysis. Results show that the 46-item instrument was loaded on four factors. During this phase, the measurement scale was purified to 36 items, and characterized with a high degree of reliability. The results were confirmed using confirmatory factor analysis and showed that the 36-item measurement model met the empirical requirements namely, convergent, construct, and discriminant validity. The fitness indicators test for the model shows that it is applicable in SMEs companies’ environment in Jordan. The study presented implications for decision-makers in SMEs companies. The limitation of this study was presented which were relied on to develop directions for future research.
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".