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http://hdl.handle.net/10609/93315
Title: The influence of organizational factors on road transport safety
Author: Gamero, Nuria
Silla, Inmaculada
Sainz González, Rubén
Sora Miana, Beatriz  
Keywords: road transport safety
sociotechnical approach
organizational learning
training
Issue Date: 6-Sep-2018
Publisher: International Journal of Environmental Research and Public Health
Citation: Gamero, N., Silla, I., Sainz-González, R., & Sora, B. (2018). The influence of organizational factors on road transport safety. International Journal of Environmental Research and Public Health, 15(9) doi:10.3390/ijerph15091938
Also see: https://www.mdpi.com/1660-4601/15/9/1938/pdf
Abstract: Road transport safety is a major concern across Europe due to the human and socio-economic costs associated with work-related traffic accidents. Traditional approaches have adopted regulatory and technical measures to prevent road accidents leaving aside the organizational factors that might contribute to road transport safety. However, contemporary sociotechnical systems theory acknowledges the need to take into account organizational factors. This study adopts a sociotechnical approach and it examines the relationship between a number of organizational factors (organizational learning and training) and road traffic accidents in the organizations under study. Our sample was composed of 107 road transportation organizations from Spain. Binary logistic regression analyses were carried out to test our hypotheses. Organizational size and type of transport (goods or passengers) were included in the model as control variables. Results showed that in those organizations where organizational learning was supported, the occurrence of traffic accidents was less likely. Unexpectedly, the relationship between training and the occurrence of traffic accidents was not significant. Thus, findings partially supported the formulated hypothesis. Future research should shed light on the relationship between training and traffic accidents taking into account potential intervening variables.
Language: English
URI: http://hdl.handle.net/10609/93315
ISSN: 1660-4601MIAR
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