Investigating the Dynamic Interactions Between Safety Knowledge, Attitudes, Behaviors, and Workplace Accidents Among Solid Waste Management Personnel
Bibliographic record
Abstract
Ensuring workplace safety in solid waste management companies is critical due to the daily hazards' employees face.This study examines the relationships between safety knowledge, attitude, behavior, and accident occurrences among solid waste management (SWM) workers using structural equation modeling (SEM).Data were collected via selfadministered questionnaires from general employees within a SWM company in a northern state in Malaysia.The findings revealed significant positive correlations between safety attitude and behavior, showing that workers with more positive safety attitudes demonstrate safer behaviors.Additionally, safety behavior was negatively associated with accident occurrences, highlighting the crucial role of safe practices in preventing accidents.Safety knowledge positively influenced safety attitudes and behaviors, emphasizing the importance of comprehensive safety training programs.Effect size measures, R-squared values, and beta coefficients provided insights into the model's practical significance and predictive power.Indirect effects were also explored, indicating that safety knowledge indirectly impacted accident occurrences through its influence on safety behavior and attitudes.The study's limitations include its cross-sectional design and reliance on self-reported data, suggesting the need for longitudinal studies and objective measures in future research.Despite these limitations, the study contributes to understanding safety dynamics within the solid waste management industry.Practical implications include developing targeted safety interventions to enhance safety knowledge, attitudes, and behaviors to foster a safety culture and reduce workplace accidents.Specifically, the finding of this study helps the solid waste management industry be more alert in responding to workplace accident prevention by focusing on the employees' safety knowledge and attitude toward enforcing better safety behavior among the employees.
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 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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".