构建安全:协调油气石化作业中的差错预防与差错管理

IF 4.3 2区 管理学 Q2 MANAGEMENT Academy of Management Discoveries Pub Date : 2021-03-29 DOI:10.5465/AMD.2019.0190
Charles Ian Cowley, D. Denyer, E. Kutsch, Kim Turnbull-James
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引用次数: 4

摘要

在对中东、亚太和欧洲三个不同的石油、天然气和石化运营点进行定性研究的基础上,我们研究了参与者如何构建错误预防和错误管理,以及他们如何在日常实践中协调这些方法。我们的储备网格数据表明,参与者认识到错误预防的重要性,但也意识到紧急和意外问题需要错误管理,以捕捉、解决或缓解正在形成的问题。错误也被认为在适应、创新和学习方面发挥着重要作用。然而,我们的访谈数据和对事件调查报告的分析反映了范围较窄的因素,并表明了预防错误的强烈制度化倾向。这对过程安全管理和事件分析有实际意义,因为它们可能忽略了错误管理的重要性,也对那些可能正在处理他们认为在过程安全方面重要的东西与他们所带来的东西之间的差距的尖端个人有实际意义。
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Constructing safety: Reconciling Error Prevention and Error Management in Oil & Gas and Petrochemicals Operations
On the basis of a qualitative study of three different operational oil and gas and petrochemical sites, in the Middle East, Asia-Pacific and Europe, we examine how actors construe error prevention and error management and how they reconcile these approaches in their everyday practice. Our repertory grid data reveal that actors recognise the importance of error prevention, but also appreciate that emergent and unexpected issues require error management in order to trap, address or mitigate problems in the making. Errors are also regarded to play an important role in adaptation, innovation and learning. However, our interview data and analysis of incident investigation reports reflect a narrower range of factors and indicates a strongly institutionalised predisposition towards error prevention. There are practical implications for the management of process safety and for incident analysis, which may be overlooking the importance of error management, and also for individuals at the sharp end who may be coping with the gap between what they believe is important in terms of process safety and what they bring to the surface, share and document.
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来源期刊
CiteScore
10.00
自引率
3.20%
发文量
40
期刊介绍: The mission of AMD is to publish phenomenon-driven empirical research that theories of management and organizations neither adequately predict nor explain. Data on these poorly-understood phenomena can come from any source, including ethnographic observations, lab and field experiments, field surveys, meta-analyses, construct validation research, and replication studies. AMD welcomes exploratory research at the pre-theory stage of knowledge development, where it is premature to specify hypotheses, and which generates surprising findings likely to stimulate and guide further exploration and analysis. This research must be grounded in rigorous state-of-the-art methods, present strong and persuasive evidence, and offer interesting and important implications for management theory and practice. Read the Discoveries FAQs.
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