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Record W2334865396 · doi:10.5539/ibr.v9n6p53

A Quantitative Analysis of the Causes of Drug Shortages in Jordan: A Supply Chain Perspective

2016· article· en· W2334865396 on OpenAlexvenueno aff
Hala Awad, Zu’bi M. F. Al-Zu’bi, Ayman Bahjat Abdallah

Bibliographic record

VenueInternational Business Research · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicPharmaceutical Economics and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic shortageSupply chainLegislatureBusinessDistribution (mathematics)Perspective (graphical)DrugMarketingMedicinePharmacologyGeographyComputer science

Abstract

fetched live from OpenAlex

<p>This study investigates the causes of drug shortage in Jordan. Based on thorough literature review, five causes related to supply chain were identified, namely regulatory and legislative processes, manufacturing-related issues, distribution factors, supply and demand imbalance, and human factors.</p><p>Data were collected from 221 professionals selected from Jordan Food and Drug Administration (JFDA), pharmaceutical manufacturing sector, hospital professionals, and other nodes in the supply chain including distributors and wholesalers. Multiple-regression analysis was used to test the hypothesized relationships. The results indicate that four causes are significantly related to drug shortages in Jordan, regulatory and legislative processes, distribution factors, human factors, and supply and demand imbalance. Manufacturing-related issues are not significantly related to drug shortages. Implications and recommendations for the decision makers are proposed on the basis of the study results.</p>

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.573
Threshold uncertainty score0.796

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.138
GPT teacher head0.420
Teacher spread0.282 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations41
Published2016
Admission routes1
Has abstractyes

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