Doing it Differently

Blockley, David; Godfrey, Patrick

doi:10.1680/didse.60821

Cited by 47 publications

(21 citation statements)

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“…This requires the use of a systems approach (e.g. Senge (1990), Blockley and Godfrey (2017)) to take account of the interactive nature of the issues identified.…”

Section: Issues Which Need To Be Addressedmentioning

confidence: 99%

Understanding organisational and cultural precursors to events

Taylor

May

Weyman

et al. 2017

Proceedings of the Institution of Civil Engineers - Forensic En

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General rightsThis document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Reviewing the collective findings from investigations into a range of major events in high-hazard industries has led to the conclusion that there is a need to develop greater resilience to the organisational and cultural causes of these events. This requires more rigorous methods for identifying disaster precursors and for supporting intervention design. A study of the organisational and cultural precursors relating to 12 major events across several industries revealed shared precursors in areas such as leadership, operational attitudes and behaviours, communication, risk analysis, learning and oversight and scrutiny. This has enabled statements of good practice to be developed, together with question sets that can be used by regulators and the industry to profile organisational risk management resilience and thereby drive organisational learning. The research shows that the processes of incubation and evolution of disaster events can be complex and exercising control therefore requires development of more sophisticated 'tools' than are currently available. It has revealed repeating patterns of failure and the importance of psychological and behavioural factors which have led to poor decision-making. Causal loop modelling is being used to capture these patterns to facilitate the design of more informed interventions. Emerging issues and new approaches being developed are discussed and examples given.

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“…This requires the use of a systems approach (e.g. Senge (1990), Blockley and Godfrey (2017)) to take account of the interactive nature of the issues identified.…”

Section: Issues Which Need To Be Addressedmentioning

confidence: 99%

Understanding organisational and cultural precursors to events

Taylor

May

Weyman

et al. 2017

Proceedings of the Institution of Civil Engineers - Forensic En

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“…Causal loops (Milke 2013) could help identify positive and negative interactions. The use of various schemes that recognise incompleteness and enable evidence to be combined, for example, 'Italian flags' (Blockley and Godfrey 2000) can be useful.…”

Section: A Systems Model For Vulnerability and Resiliencementioning

confidence: 99%

Improving resilience through vulnerability assessment and management

Agarwal

2015

Civil Engineering and Environmental Systems

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The increasing complexity of infrastructure systems and the possibility of severe consequences due to interdependency and uncertain demands have led to an increased emphasis on resilience. Resilience, in simple terms, is the ability of a system to withstand adverse conditions and to recover quickly from these. Its interpretations and linkages to the related concepts of vulnerability and risk are examined. It is argued that vulnerability is an inherent characteristic of any system, hard or soft, and its identification and management is essential for improving the system's resilience. A systems approach to identify the vulnerable failure scenarios uses the concepts of form, connectivity and hierarchical modelling. Modelling of interactions with social systems and assessing their consequences requires dealing with uncertainty and it remains a challenge.

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“…accident sequences to identify weaknesses in the safety system. However, attempts are made to broaden the scope of probabilistic risk analysis to infrastructure systems as a whole rather than single construction elements in such systems (Blockley and Godfrey 2000;Melchers 2007). .…”

Section: Probabilistic Risk Analysismentioning

confidence: 99%