A Study Investigating How the Characteristics of High Reliability Organisations Can Be Measured in the Construction Industry in Australia
| Autor: | Andrew Enya, Shane E. Dempsey, Manikam Pillay |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
safety
Health Toxicology and Mutagenesis 0211 other engineering and technologies lcsh:Medicine 02 engineering and technology Article Structural equation modeling Body of knowledge Transport engineering high reliability organisation 021105 building & construction 0502 economics and business Humans Occupational Health Reliability (statistics) Measure (data warehouse) construction industry lcsh:R 05 social sciences Australia Public Health Environmental and Occupational Health Reproducibility of Results High Reliability Organizations Confirmatory factor analysis Management strategy Construction industry Work (electrical) collective mindfulness Business New South Wales 050203 business & management |
| Zdroj: | International Journal of Environmental Research and Public Health International Journal of Environmental Research and Public Health, Vol 17, Iss 8273, p 8273 (2020) Volume 17 Issue 21 |
| ISSN: | 1660-4601 |
| DOI: | 10.3390/ijerph17218273 |
| Popis: | Construction activities involve a lot of risk as workers are exposed to a wide range of job hazards, such as working at height, moving vehicles, toxic substances, and confined spaces. The hazards related to a construction project are mostly unpredictable because construction projects move quickly due to project deadlines, and changing work environments. As a result of this, the industry accounts for one of the highest numbers of work-related claims, and the fourth highest incidence rate of serious claims in Australia. This research investigates how key safety management factors can measure the characteristics of high reliability organisations (HROs) in the construction industry in New South Wales Australia. To address the problem, a model is presented that can predict characteristics of HRO in construction (CHC). Using structural equation modeling (SEM), and confirmatory factor analysis (CFA), the model and measurement instruments are tested and validated from data collected from construction workers. The results identified the factors that effectively measure CHC, and the findings can also be used as a safety management strategy and will contribute to the body of knowledge in research. |
| Databáze: | OpenAIRE |
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