The impact of supply chain finance on financial sustainability in Jordanian SMEs
Bibliographic record
Abstract
This research study investigates the feasibility of applying supply chain finance (SCF) in both small and medium enterprises (SMEs) in the Jordanian marketplace. It focuses on patterns of collaboration, factors of adoption, and challenges, tracing the significance of custom-tailored SCFs that specifically involve technological restrictions and governmental complications. Applying a mixed methodology of interviews and AMOS analysis that aims at collecting reliable data from financial and inventory managers in Jordan, this research indicates that the most considerable elements in developing supply chain finance in Jordan are credibility and sustainability. Guaranteeing fair access to funds and contentious innovation has proven to be a complete policy. Moreover, the results conclude that balancing regulatory support is related to simplicity, collaboration, and endorsement of worldwide access to technology. For further research within the same domain, this research recommends developing a customized SCF program and emerging inclusive policies that can pave the way for future research as a comparative analysis of diverse businesses and the study of its permanent effect, devising the integration of technology strategies and mentoring the effectiveness of financial policies.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| 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".