Evaluating System Cascading Failures

Renger, Ralph; Foltysova, Jirina; Ienuso, Skyler; Renger, Jessica; Booze, Wayne

doi:10.1177/1035719x1701700205

Cited by 9 publications

(19 citation statements)

References 24 publications

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“…Because systems are interconnected, a problem occurring at one point in the system can be passed down to other parts of the system. This is also known as a system cascading failure or domino effect (Buldyrev et al, 2010; Renger, Foltysova, Ienuso, et al, 2017). Thus, when an inefficiency was discovered, we examined whether the problem was indeed occurring at the observed process step or whether it was due to an upstream dependency.…”

Section: Evaluating Ctr Infrastructure Efficiencymentioning

confidence: 99%

Lessons learned in evaluating the infrastructure of a Centre for Translational Research

Renger¹,

Basson²,

Hart³

et al. 2020

Evaluation Journal of Australasia

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This article shares lessons learned while evaluating the implementation of a Clinical and Translational Research Centre (CTR). To meet its overarching goals, the CTR consists of numerous research support units (e.g., biostatistics, community engagement, professional development) that are intended to work together collaboratively. It is then argued that an evaluation approach grounded in system thinking was the best fit to evaluate this key CTR design feature. The rationale for selecting systems evaluation theory (SET) as the evaluation framework best suited to evaluate the CTR infrastructure is then presented. The application of SET and the lessons learned are then shared. This article concludes that there are many similarly structured programmes worldwide to which the lessons learned can be applied and upfront investments in using a system approach are rewarded by providing meaningful and useful evaluation recommendations for system change.

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Section: Evaluating Ctr Infrastructure Efficiencymentioning

confidence: 99%

Lessons learned in evaluating the infrastructure of a Centre for Translational Research

Renger¹,

Basson²,

Hart³

et al. 2020

Evaluation Journal of Australasia

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“…An appropriate method of assessing cascading impacts is an approach based on evaluating technical systems (Renger et al 2017). System evaluation theory applies both systemic thinking and system theory.…”

Section: Spread and Assessment Of Cascading Impacts In A Critical Infmentioning

confidence: 99%

Identifying Critical Elements of Road Infrastructure Using Cascading Impact Assessment

et al. 2020

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Road transport is a key means of transporting people and cargo on land. Its particular advantages are speed and operability, which are balanced, however, by dependence on road infrastructure. Road infrastructure reliability is an important factor in its functioning. If some elements of road infrastructure are disrupted or fail, the function of dependent infrastructures, such as the integrated rescue system or industry, are also impaired and may fail. These important elements of road infrastructure should be identified as critical and be given greater attention when identifying weaknesses and implementing subsequent security measures. This article introduces the Identifying Critical Elements of Road Infrastructure (ICERI) method, which was designed to make use of Cascading Impact Assessments (CIA). The use of CIA allows critical elements to be identified through impact escalation analysis. These impacts can therefore be monitored not only in road transport infrastructure but also across the entire critical infrastructure system.

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“…Systems thinking as a way to improve evaluations continues to garner much at tention in the evaluation literature (AEA, 2018;Hummelbrunner, 2011;Renger, 2015;Renger, Foltysova, Ienuso, Renger, & Booze, 2017;Williams & Britt, 2014;Williams & Hummelbrunner, 2010). The AEA Systems in Evaluation Topical Interest Group defines systems thinking as "a way of thinking based on core sys tems concepts" ( AEA, 2018, p. 6).…”

Section: Mots Clés : éValuation Systèmes Théorie Des Systèmesmentioning

confidence: 99%

“…Systems concepts, in turn, "are those that have come to define the systems field" ( AEA, 2018, p. 6). Examples of systems concepts used in evaluations include, but are not limited to, boundaries, elements, perspec tives, feedback loops, cascading failures, surges, reworks (waste), and refl ex arcs (Renger, 2016;Renger, Foltysova, Ienuso, et al, 2017;Renger, Keogh, Hawkins, Foltysova, & Souvannasacd, 2018;Ulrich, 2002).…”

Section: Mots Clés : éValuation Systèmes Théorie Des Systèmesmentioning

confidence: 99%

Comparing and Contrasting a Program versus System Approach to Evaluation: The Example of a Cardiac Care System

Renger¹,

Foltysova

Renger

et al. 2020

Canadian Journal of Program Evaluation

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This paper focuses on the application of systems thinking concepts to evaluate systems. The terms systems and systems thinking concepts are first defined. The use of systems thinking concepts in program and system evaluation are then highlighted. It is noted that while there are methods available to assist evaluation practitioners in applying systems thinking concepts to program evaluation, there is a need for similar guidance in applying systems thinking concepts to evaluating systems. System Evaluation Theory (SET) is then reviewed as one evaluation theory designed to apply systems thinking concepts to evaluating systems. A case illustration is presented to help teach practitioners how to apply SET’s three steps. The discussion focuses on comparing the differences between evaluation questions answered by applying systems thinking concepts versus those using program logic models.

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Evaluating System Cascading Failures

Cited by 9 publications

References 24 publications

Lessons learned in evaluating the infrastructure of a Centre for Translational Research

Lessons learned in evaluating the infrastructure of a Centre for Translational Research

Identifying Critical Elements of Road Infrastructure Using Cascading Impact Assessment

Comparing and Contrasting a Program versus System Approach to Evaluation: The Example of a Cardiac Care System

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