TY - JOUR
T1 - Incorporating organizational factors into probabilistic risk assessment of complex socio-technical systems
T2 - Principles and theoretical foundations
AU - Mohaghegh, Zahra
AU - Mosleh, Ali
N1 - Funding Information:
This study was supported by the Thailand Center of Excellence in Physics through the Plasma Agricultural Applications Laboratory and the Walailak University Fund. The authors would like to thank Mr. Thammanoon Srinuam and Mr. Chalerm Tehsanu for their help on the plasma experimental setup and Ms. Saifon Phothisuwan for her help identifying mold species.
PY - 2009/10
Y1 - 2009/10
N2 - The current generation of Probabilistic Risk Analysis (PRA), particularly those for technical systems, does not include an explicit representation of the possible impacts of organization and management on the safety performance of equipment and personnel. There are a number of technical challenges in developing a predictive model of organizational safety performance. There is a need for a widely accepted and theoretically sound set of principles on which models of organizational influences could be developed and validated. As a result of a multidisciplinary effort, this paper explores the feasibility of developing such principles and proposes a set of principles for organizational safety risk analysis. Then, as a realization of the proposed modeling principles, a safety risk framework, named Socio-Technical Risk Analysis (SoTeRiA), is developed. SoTeRiA formally integrates the technical system risk models with the social (safety culture and safety climate) and structural (safety practices) aspects of safety prediction models, and provides a theoretical basis for the integration. A systematic view of safety culture and safety climate leaves an important gap in modeling complex system safety risk, and SoTeRiA, describing the relationship between these two concepts, bridges this gap. The framework explicitly recognizes the relationship among constructs at multiple levels of analysis, and extends the PRA framework to include the effects of organizational factors in a more comprehensive and defensible way.
AB - The current generation of Probabilistic Risk Analysis (PRA), particularly those for technical systems, does not include an explicit representation of the possible impacts of organization and management on the safety performance of equipment and personnel. There are a number of technical challenges in developing a predictive model of organizational safety performance. There is a need for a widely accepted and theoretically sound set of principles on which models of organizational influences could be developed and validated. As a result of a multidisciplinary effort, this paper explores the feasibility of developing such principles and proposes a set of principles for organizational safety risk analysis. Then, as a realization of the proposed modeling principles, a safety risk framework, named Socio-Technical Risk Analysis (SoTeRiA), is developed. SoTeRiA formally integrates the technical system risk models with the social (safety culture and safety climate) and structural (safety practices) aspects of safety prediction models, and provides a theoretical basis for the integration. A systematic view of safety culture and safety climate leaves an important gap in modeling complex system safety risk, and SoTeRiA, describing the relationship between these two concepts, bridges this gap. The framework explicitly recognizes the relationship among constructs at multiple levels of analysis, and extends the PRA framework to include the effects of organizational factors in a more comprehensive and defensible way.
KW - Human Reliability Analysis (HRA)
KW - Organizational factors
KW - Probabilistic Risk Analysis (PRA)
KW - Safety climate
KW - Safety culture
KW - Safety management
KW - SoTeRiA
KW - Socio-technical systems
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U2 - 10.1016/j.ssci.2008.12.008
DO - 10.1016/j.ssci.2008.12.008
M3 - Article
AN - SCOPUS:66049123824
SN - 0925-7535
VL - 47
SP - 1139
EP - 1158
JO - Safety Science
JF - Safety Science
IS - 8
ER -