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Area of Science:

  • Environmental Science
  • Economics
  • Sociology

Background:

  • The global economy largely operates on a linear model (take-make-dispose), hindering circular economy adoption.
  • Despite ambitions, the transition to a circular economy faces challenges due to existing linear business models and consumption patterns.
  • Current decision-making processes often prioritize linear optimization, impeding the shift towards circularity.

Purpose of the Study:

  • To develop an operational framework supporting decision-making for the circular economy transition.
  • To provide a tool for policymakers, investors, and entrepreneurs to navigate trade-offs in circular innovation.
  • To integrate circularity principles into decision logic, moving beyond linear optimization.

Main Methods:

  • Synthesized insights from existing frameworks and integrated them with transition theory and circular economy principles.
  • Developed the "Circular Decision-Making Tree" framework.
  • Verified the framework's logic and applicability through usability workshops with 50 stakeholders across four countries (Netherlands, Brazil, UK, South Africa).

Main Results:

  • The Circular Decision-Making Tree framework was developed and tested.
  • Stakeholder feedback from diverse contexts (policy, practice, academia) was gathered to refine the framework.
  • The framework aims to support decisions considering innovation quality and diffusion potential within a circular economy context.

Conclusions:

  • A novel decision-making logic based on circularity principles has been established.
  • The Circular Decision-Making Tree offers a practical tool to facilitate the transition to a circular economy.
  • Further research is needed to validate the framework's operationalization and long-term impact.