The structural and behavioral complexity of modern safety-critical organizations, such as incident management organizations, air navigation service providers, power plants, increases with every passing year. Such organizations are characterized by nonlinear dynamics involving many interrelated actors and processes. Safety issues that emerge from these complex dynamics remain increasingly hidden, until an incident or even a serious accident occurs. Traditional safety analysis methods developed long ago for much simpler organizations cannot help identifying, explaining and predicting many safety-related properties of modern organizations. To address this issue, in the paper a formal approach is proposed to establish relations between local dynamics of actors of a complex safety-critical organization and global safety-related properties that emerge from these dynamics. In contrast to the traditional approaches the organizational dynamics are specified by taking the agent perspective with an organizational layer. The approach is illustrated by a simulation case study, in which spread of safety-critical information in an air navigation service provider is investigated.
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