高可靠性组织中的错误分类:事件响应中的自适应范围和自适应能力。

IF 3 3区 医学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Risk Analysis Pub Date : 2025-03-22 DOI:10.1111/risa.70024
Elmar Kutsch, Haytham Siala, Chantal Cantarelli, Ibrat Djabbarov
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引用次数: 0

摘要

本研究从适应能力和适应范围的角度,探讨了高可靠性组织中的参与者如何将错误归类为险情或事故。我们研究了对国家安全至关重要的大型国防实体,以了解组织成员在事故中如何对错误进行分类。我们使用重现网格法对信息提供者进行访谈,发现了行动者在对错误做出预见性和回顾性反应之间的关键二元性。这些二元性共同反映了组织在平衡预见性和回顾性反应时的适应能力和适应范围。我们通过这一视角对错误分类进行分析,为了解高可靠性组织如何管理事件以保持可靠性提供了新的视角,并为在高风险环境中增强组织复原力提供了实际意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Categorizing errors in high-reliability organizations: Adaptive range and adaptive capacity in incident response.

This study examines how actors in a high-reliability organization categorize errors as near-misses or accidents through the lens of adaptive capacity and adaptive range. We studied a large defense entity with operations critical to national security to understand how organization members categorized errors during incidents. Using the repertory grid method to interview informants, we identify key dualities that actors navigate between anticipatory and retrospective responses to errors. These dualities collectively reflect the organization's adaptive capacity and adaptive range when balancing anticipatory and retrospective responses. Our analysis of error categorization through this lens provides new insights into how high-reliability organizations manage incidents to maintain reliability and offers practical implications for enhancing organizational resilience in high-risk settings.

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来源期刊
Risk Analysis
Risk Analysis 数学-数学跨学科应用
CiteScore
7.50
自引率
10.50%
发文量
183
审稿时长
4.2 months
期刊介绍: Published on behalf of the Society for Risk Analysis, Risk Analysis is ranked among the top 10 journals in the ISI Journal Citation Reports under the social sciences, mathematical methods category, and provides a focal point for new developments in the field of risk analysis. This international peer-reviewed journal is committed to publishing critical empirical research and commentaries dealing with risk issues. The topics covered include: • Human health and safety risks • Microbial risks • Engineering • Mathematical modeling • Risk characterization • Risk communication • Risk management and decision-making • Risk perception, acceptability, and ethics • Laws and regulatory policy • Ecological risks.
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