High Impact/Low Frequency Extreme Events: Enabling Reflection and Resilience in a Hyper-connected World

Masys, Anthony J.; Ray-Bennett, Nibedita S.; Shiroshita, Hideyuki; Jackson, Peter

doi:10.1016/s2212-5671(14)01001-6

Cited by 46 publications

(16 citation statements)

References 16 publications

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“…First is developing the paradigm of the business. 8 This includes its vision, mission, and values in the context of the environment within which it operates. Here is a framework for building a business model.…”

Section: The Business Modelmentioning

confidence: 99%

“…. .fragility and vulnerabilities that lie within the social/technological/ economic/political/ecological interdependent systems' [8]. This certainly challenges linear, reductionist approaches to problem framing and solution navigation.…”

Section: Introductionmentioning

confidence: 99%

“…Keep in mind that managers, employees, executives are all stakeholders as well as customers, suppliers, and funders 8. Keep in mind the term business is being used as short hand to describe an assemblage of resources and capabilities to sustainably deliver a value proposition to a group of stakeholders.…”

mentioning

confidence: 99%

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Global Health Security Innovation

Stikeleather

Masys

2020

Advanced Sciences and Technologies for Security Applications

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Section: The Business Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Global Health Security Innovation

Stikeleather

Masys

2020

Advanced Sciences and Technologies for Security Applications

Self Cite

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“…Within this diversity, there are two dominant schools of thought. The first is the complexity science perspective, which emphasises that complex systems represent extremely complicated challenges catalysed by an increasingly interconnected world (Masys, Ray-Bennett, Shiroshita, & Jackson, 2014). This type of complexity is sustained by linear, causal chains of interactions between variables within closed systems.…”

Section: Complexitymentioning

confidence: 99%

“…What this implies is that when confronting nonlinear, complex challenges through community-university partnerships, the ontological basis of engagement is not a neutral, one-size-fits-all, context. Some challenges are situated within linear contexts, and some are situated within contexts characterised by both linearity and nonlinearity-and it is likely that these nonlinear contexts will increase (Masys et al, 2014;National Planning Commission, 2013;Taleb, 2007). It is therefore suggested that determining the ontological basis of engagement and responding appropriately, also represents another component of enablement.…”

Section: Multi-ontology Knowledge Frames and Enablementmentioning

confidence: 99%

Knowledge as enablement: additional perspectives influenced by complexity

Burman

Aphane²,

Mollel³

2016

Educ. res. soc. change.

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This article is prompted by a book called Knowledge as Enablement: Engagement Between Higher Education and the Third Sector in South Africa (Erasmus & Albertyn, 2014). Knowledge as Enablement emphasises that purposefully directed knowledge can contribute to the generation of mutually beneficial, transformative outcomes during community-university partnerships. The book introduces the notion of complexity but provides no specific examples about how complexity influences engaged scholarship or enablement. Drawing on theory and case material that relate to complexity, this article aims to open a conversation about how complexity can contribute to engaged scholarship and enablement. It is suggested that confronting complex challenges using engaged, action-oriented research techniques requires many of the enablers identified by Erasmus and Albertyn (2014). However, some additional enabling layers associated with complexity can be considered. These layers include: (1) roles and responsibilities, focusing on leadership, participation, and praxis; (2) working with complex adaptive systems, including systemic change, sensemaking, and attractors; and (3) identifying and responding appropriately to multi-ontology knowledge contexts.

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From Metaphor to Practice: Operationalizing the Analysis of Resilience Using System Dynamics Modelling

Herrera

2017

Syst. Res

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This paper operationalizes an analysis of resilience for social‐ecological systems using system dynamics (SD) modelling. Resilience is a versatile concept that continues to gain popularity among researchers who study ways to reduce the vulnerability of social‐ecological systems to a wide range of disturbances. However, its application in the policymaking domain still remains underdeveloped because it is difficult to understand the mechanisms that might enhance resilience and to measure the impact of potential policies. This paper proposes to use SD modelling as a tool to analyse resilience using simulations to quantify system response to disturbances and a causal analysis to identify ways to influence this response. With this aim, this paper proposes a set of fundamental characteristics of resilient responses and describes how to measure them using the results produced by SD models. Copyright © 2017 John Wiley & Sons, Ltd.

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High Impact/Low Frequency Extreme Events: Enabling Reflection and Resilience in a Hyper-connected World

Cited by 46 publications

References 16 publications

Global Health Security Innovation

Global Health Security Innovation

Knowledge as enablement: additional perspectives influenced by complexity

From Metaphor to Practice: Operationalizing the Analysis of Resilience Using System Dynamics Modelling

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