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Risk Framework for an Organizational System With Major Components.

Shane N Hall1, Mark A Gallagher2, Daniel S Fenn3

  • 1OptTek Systems, Inc., Boulder, CO, USA.

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Summary
This summary is machine-generated.

This study introduces a novel risk assessment framework for complex organizations. It integrates component interdependencies to predict and manage organizational risk effectively, informing strategic investments.

Keywords:
Aggregated riskorganizational riskrisk analysis

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Area of Science:

  • Organizational Risk Management
  • Systems Engineering
  • Decision Analysis

Background:

  • Large organizations rely on interconnected components, where dependencies can lead to systemic risk propagation.
  • Assessing and aggregating risk across diverse organizational components presents significant challenges.

Purpose of the Study:

  • To present a novel risk assessment framework integrating risks across organizational components.
  • To address challenges in aggregating risk, estimating component interdependencies (including cycles), and propagating risk.

Main Methods:

  • Developed a framework aggregating risk assessments using a value function for severity, scaled by risk tolerance.
  • Introduced a novel approach for establishing relationships between organizational components.
  • Developed and compared three network risk propagation models to characterize overall organizational risk.

Main Results:

  • The framework effectively integrates diverse risk assessments and models component interdependencies.
  • The network risk propagation models provide a characterization of overall organizational risk.
  • The U.S. Air Force applied this framework, informing billions in strategic investment decisions.

Conclusions:

  • The presented framework offers a robust method for assessing and managing complex organizational risks.
  • This approach enhances the evaluation of systemic risks and supports strategic decision-making.
  • The successful application by the U.S. Air Force demonstrates the framework's practical value.