The Influence of Safety Culture on Safety Attitude, Personnel Error Behavior, and Safety Citizenship Behavior: Research in the Vietnam Oil and Gas Industry
Bibliographic record
Abstract
In the oil and gas processing industry, safety is considered an important and vital issue for businesses, due to the nature of the technological process and the complexity of the system.Safety culture plays an important role, affecting the sustainable development of production of oil and gas companies.However, research on safety culture is still quite rare, especially in developing countries like Vietnam.This study aims to identify safety culture factors that influence safety attitudes, personnel error behavior, and safety citizenship behavior in the oil and gas industry in Vietnam.A survey using a selfadministered questionnaire was conducted with 236 employees working in different positions in oil and gas enterprises within Vietnam.Structural equation modeling (SEM) was used to test the research hypotheses.The results indicated that safety culture factors play an important role in influencing safety attitudes, minimizing individual errors and enhancing safe citizenship behavior of oil and gas industry employees.The study suggests important implications for oil and gas enterprises in developing a safety culture, as well as proposing policies and strategies for sustainable development.
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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 | 0.002 | 0.005 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".