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Learning from adverse events in the nuclear power industry: Organizational learning, policy making and normalization

机译:从核电行业的不利事件中学习:组织学习,政策制定和规范化

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Nuclear power accidents repeatedly reveal that the industry has an incomplete understanding of the complex risks involved in its operation. Through analyzing the investigation of a nuclear power incident in Sweden in 2006,1 show how the industry's learning practices shape recurrent normalization of risk regulation after such surprises. Learning is shaped through institutionalized measures of sufficiency and particular "risk objects" (e.g. human factors and safety culture) created through learning from previous events. Subsequent regulatory measures are shaped through improvement scripts associated with these risk objects. These learning practices exclude alternative conceptual perspectives to understand and address safety-critical incidents. Latent risks will therefore produce similar events in the future. The article contributes to the literature on organizational learning, policy making, sensemaking and normalization in complex systems. To improve learning from incidents and regulation in high-hazard industries, social scientists and a wider circle of stakeholders should be included in the regulatory and post-incident examination processes.
机译:核电事故反复表明,该行业对其运营所涉及的复杂风险不完全了解。通过分析2006年瑞典发生的一次核电事故调查,表明该行业的学习实践如何在出现此类意外之后塑造风险规制的反复正常化。学习是通过对以往事件进行学习而产生的充足性和特定“风险对象”(例如人为因素和安全文化)的制度化措施来形成的。通过与这些风险对象相关的改进脚本来制定后续的监管措施。这些学习实践排除了替代的概念观点,以理解和解决安全关键事件。因此,潜在风险将在未来产生类似事件。本文为有关复杂系统中的组织学习,政策制定,意义分析和规范化的文献做出了贡献。为了更好地从高危险行业的事件和法规中学习,在法规和事后检查过程中应包括社会科学家和更广泛的利益相关者圈子。

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