The role of supply chain management and competitive advantage on the performance of Indonesian SMEs
Bibliographic record
Abstract
The purpose of this study is to analyze the effect of supply chain management on competitive advantage, the effect of supply chain management on performance and the effect of competitive advantage on performance of small and medium enterprises (SMEs). The object of this research includes all SMEs in Tangerang, the population in this study also covers all 680 Small and Medium Enterprises in Tangerang, Indonesia. The research method uses quantitative methods and the technique used for data collection is by using an online questionnaire. Questionnaires are given to 210 owners or managers of Small and Medium Enterprises who were selected using the simple random sampling method. Data analysis used Structural Equation Modeling (SEM) with data processing tools using SmartPLS software. The results of data analysis show that supply chain management has a positive and significant effect on the performance of SMEs. Supply chain management has a positive and significant effect on competitive advantage. Finally, competitive advantage has a positive and significant effect on performance.
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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 | 0.003 |
| 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 | 0.002 | 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".