The Impact of Humanitarian Supply Chain on Non-Government Organizations Performance Moderated by Organisation Culture
Bibliographic record
Abstract
The current research seeks to understand how humanitarian supply chains affect the performance of non-governmental organizations in Jordan.This humanitarian sector is the central pillar to alleviate the burden of asylum and the suffering of displaced people from neighbouring countries and survivors of civil wars like the Syrian civil war.The descriptive statistical analysis approach was used and a program was adopted SMART PLS This research is considered quantitative research, where the questionnaire tool was built, where the study population consisted of non-governmental organizations operating in Jordan, numbering 1640.The study population consisted of 311, and the questionnaire was distributed to executive and logistical support managers working in these organizations.After the response of the study sample, the search results in research results showed a statistically significant relationship between the research variables and the Performance of the organizations with the enhanced organizational culture.One of the most important recommendations recommended by the current study is to conduct more research related to humanitarian supply chains, and the current research recommends the need to test leadership as a mediating variable in the relationship between supply chains and the performance of organizations.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".