The integration of supplier and customer: The role of trust as a mediator on supply chain performance in small retail stores
Bibliographic record
Abstract
This study aims to investigate the integration of suppliers and customers with the role of trust (TR) as a mediator on supply chain performance in small retail stores. The sampling technique uses purposive sampling to represent the total sample used, 170 outlets or respondents and data analysis using programs with SmarPLS. The finding of this study stated that the effect of supplier integration (SI) on customer integration (CI) and the effect of CI in addition to TR and on SCP are all stated to have a positive and significant effect. However, Customer Integration has a negative and not significant effect on supply chain performance (SCP) through TR. Novelty of this study is the implementation of supply chain integration for development in the retail business sector, especially in Indonesia. Then, this study shows integration as a communication aspect of collaboration between companies. Implication of this study is useful for franchise management and small retail shop owners in mutually beneficial collaboration in developing Micro, Small and Medium Enterprises (SMSMEs) so that their businesses can develop, survive and be sustainable growth in the future.
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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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".