The impact of logistics management on logistics service performance: A study on maritime transportation services in Oman
Bibliographic record
Abstract
This study aims to investigate the impact of logistic management on maritime transportation Service Performance in Oman. According to the resource-based view theory, firms with an inward organizational focus believe that performance stems from unique resources and capabilities specific to the firm. Based on this premise, successful companies aim to cultivate distinctive capabilities, often of intangible nature, to drive future competitiveness. This descriptive study examines the impact of logistic management on maritime transportation service performance. Based on a non- probability sample of 200 respondents from logistics and maritime transport service companies. The relationship between variables was analyzed using structural calculation modeling. The results showed that five out of the nine hypotheses were all positively and significantly supported (supply to services quality, transportation to cost, transportation to services quality, transportation to time and warehousing to cost). While the relationship between (supply to cost, supply to time, warehousing to service quality, warehousing to time) were not supported. The study focuses on the one maritime service provider in Oman, thus precluding the generalizability of findings to other logistics service or logistics areas.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".