Abstract:Despite its conceptual uncertainty, resilience is mostly about the measurement of capacity. Current studies confirm the importance of resilience measurement and the necessity to support policy makers with a measurement mechanism. A holistic approach considering the measurement of different resilience domains interactively and concurrently is the critical element in this endeavor. In parallel with the rise of popularity of resilience in international organizations, NATO has initiated a project with the objectiv… Show more
“…We have used the system dynamics modelling and simulation paradigm to develop both prototype and aggregated resilience models, as depicted in Figure 1 . The main rationale behind choosing this paradigm is to quantify NATO’s resilience-related capacities by a structure representing dynamic relations among vague resilience parameters over time in scenario-driven NATO operations and experiments [ 2 ]. The system dynamics modelling technique helps us understand and synthesize nonlinear behaviours of complex systems, such as resilience [ 25 , 26 ], by the help of simulation software analysing causal interrelations among the components that make up those systems [ 2 ].…”
Section: Methodsmentioning
confidence: 99%
“…The main rationale behind choosing this paradigm is to quantify NATO’s resilience-related capacities by a structure representing dynamic relations among vague resilience parameters over time in scenario-driven NATO operations and experiments [ 2 ]. The system dynamics modelling technique helps us understand and synthesize nonlinear behaviours of complex systems, such as resilience [ 25 , 26 ], by the help of simulation software analysing causal interrelations among the components that make up those systems [ 2 ]. In accordance with the system dynamics methodology, we have conducted problem articulation and literature review on concept and measurement techniques of resilience concurrently, identified key resilience variables, made causality and behavioural analysis by building causal loop diagrams, modelled the dynamics of resilience via stock and flow diagrams, and developed user interfaces that consist of input and output dashboards for the prototype and aggregated resilience models.…”
Section: Methodsmentioning
confidence: 99%
“…With the help of the system dynamics modelling and simulation paradigm, the prototype model is capable of evaluating the resilience capacity of a country and dynamically assessing its resilience-based risk. The outcomes of the model comply with NATO’s strategic resilience concept [ 2 ]. The strategic resilience concept is an adaptive process in which resilience performance is measured by absorbing strategic shocks with minimal impact while maintaining essential functions at an acceptable level, then recovering functionality at a reasonable time and a reasonable cost.…”
Section: Introductionmentioning
confidence: 92%
“…As an international military organization, NATO is not that different than these other organisations. In this regard, NATO has developed a prototype resilience model that can provide foresight regarding the NATO resilience changes over time [ 2 ]. With the help of the system dynamics modelling and simulation paradigm, the prototype model is capable of evaluating the resilience capacity of a country and dynamically assessing its resilience-based risk.…”
Section: Introductionmentioning
confidence: 99%
“…Hodicky et al [ 2 ] write about growth potential, such as adding more countries to the model via an appropriate aggregation mechanism and bringing parametrization of strategic shocks (i.e., adding user-specified shock parameters). Accordingly, NATO has developed an aggregated resilience model as an upgrade of the extant prototype by activating the mentioned growth potential.…”
Resilience is a complex system that represents dynamic behaviours through its complicated structure with various nodes, interrelations, and information flows. Like other international organizations NATO has also been dealing with the measurement of this complex phenomenon in order to have a comprehensive understanding of the civil environment and its impact on military operations. With this ultimate purpose, NATO had developed and executed a prototype model with the system dynamics modelling and simulation paradigm. NATO has created an aggregated resilience model as an upgrade of the prototype one, as discussed within this study. The structure of the model, aggregation mechanism and shock parametrization methodologies used in the development of the model comprise the scope of this study. Analytic Hierarchy Process (AHP), which is a multi-criteria decision-making technique is the methodology that is used for the development of the aggregation mechanism. The main idea of selecting the AHP methodology is its power and usefulness in mitigating bias in the decision-making process, its capability to increase the number of what-if scenarios to be created, and its contribution to the quality of causal explanations with the granularity it provides. The parametrized strategic shock input page, AHP-based weighted resilience and risk parameters input pages, one more country insertion to the model, and the decision support system page enhance the capacity of the prototype model. As part of the model, the decision support system page stands out as the strategic level cockpit where the colour codes give a clear idea at first about the overall situational picture and country-wise resilience and risk status. At the validation workshop, users not only validated the model but also discussed further development opportunities, such as adding more strategic shocks into the model and introduction of new parameters that will be determined by a big data analysis on relevant open source databases. The developed model has the potential to inspire high-level decision-makers dealing with resilience management in other international organizations, such as the United Nations.
“…We have used the system dynamics modelling and simulation paradigm to develop both prototype and aggregated resilience models, as depicted in Figure 1 . The main rationale behind choosing this paradigm is to quantify NATO’s resilience-related capacities by a structure representing dynamic relations among vague resilience parameters over time in scenario-driven NATO operations and experiments [ 2 ]. The system dynamics modelling technique helps us understand and synthesize nonlinear behaviours of complex systems, such as resilience [ 25 , 26 ], by the help of simulation software analysing causal interrelations among the components that make up those systems [ 2 ].…”
Section: Methodsmentioning
confidence: 99%
“…The main rationale behind choosing this paradigm is to quantify NATO’s resilience-related capacities by a structure representing dynamic relations among vague resilience parameters over time in scenario-driven NATO operations and experiments [ 2 ]. The system dynamics modelling technique helps us understand and synthesize nonlinear behaviours of complex systems, such as resilience [ 25 , 26 ], by the help of simulation software analysing causal interrelations among the components that make up those systems [ 2 ]. In accordance with the system dynamics methodology, we have conducted problem articulation and literature review on concept and measurement techniques of resilience concurrently, identified key resilience variables, made causality and behavioural analysis by building causal loop diagrams, modelled the dynamics of resilience via stock and flow diagrams, and developed user interfaces that consist of input and output dashboards for the prototype and aggregated resilience models.…”
Section: Methodsmentioning
confidence: 99%
“…With the help of the system dynamics modelling and simulation paradigm, the prototype model is capable of evaluating the resilience capacity of a country and dynamically assessing its resilience-based risk. The outcomes of the model comply with NATO’s strategic resilience concept [ 2 ]. The strategic resilience concept is an adaptive process in which resilience performance is measured by absorbing strategic shocks with minimal impact while maintaining essential functions at an acceptable level, then recovering functionality at a reasonable time and a reasonable cost.…”
Section: Introductionmentioning
confidence: 92%
“…As an international military organization, NATO is not that different than these other organisations. In this regard, NATO has developed a prototype resilience model that can provide foresight regarding the NATO resilience changes over time [ 2 ]. With the help of the system dynamics modelling and simulation paradigm, the prototype model is capable of evaluating the resilience capacity of a country and dynamically assessing its resilience-based risk.…”
Section: Introductionmentioning
confidence: 99%
“…Hodicky et al [ 2 ] write about growth potential, such as adding more countries to the model via an appropriate aggregation mechanism and bringing parametrization of strategic shocks (i.e., adding user-specified shock parameters). Accordingly, NATO has developed an aggregated resilience model as an upgrade of the extant prototype by activating the mentioned growth potential.…”
Resilience is a complex system that represents dynamic behaviours through its complicated structure with various nodes, interrelations, and information flows. Like other international organizations NATO has also been dealing with the measurement of this complex phenomenon in order to have a comprehensive understanding of the civil environment and its impact on military operations. With this ultimate purpose, NATO had developed and executed a prototype model with the system dynamics modelling and simulation paradigm. NATO has created an aggregated resilience model as an upgrade of the prototype one, as discussed within this study. The structure of the model, aggregation mechanism and shock parametrization methodologies used in the development of the model comprise the scope of this study. Analytic Hierarchy Process (AHP), which is a multi-criteria decision-making technique is the methodology that is used for the development of the aggregation mechanism. The main idea of selecting the AHP methodology is its power and usefulness in mitigating bias in the decision-making process, its capability to increase the number of what-if scenarios to be created, and its contribution to the quality of causal explanations with the granularity it provides. The parametrized strategic shock input page, AHP-based weighted resilience and risk parameters input pages, one more country insertion to the model, and the decision support system page enhance the capacity of the prototype model. As part of the model, the decision support system page stands out as the strategic level cockpit where the colour codes give a clear idea at first about the overall situational picture and country-wise resilience and risk status. At the validation workshop, users not only validated the model but also discussed further development opportunities, such as adding more strategic shocks into the model and introduction of new parameters that will be determined by a big data analysis on relevant open source databases. The developed model has the potential to inspire high-level decision-makers dealing with resilience management in other international organizations, such as the United Nations.
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