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The ecological challenges of this decade have been clearly identified. The pressure of problems is increasing drastically; progress in climate protection or the preservation of biodiversity is insufficient. Little time is left to act. In consequence, we can only achieve and permanently secure social and environmental prosperity through far-reaching changes in economy and society.
As a socio-technical innovation, digitalisation can realise its full ecological potential above all where it helps to profoundly change today's lifestyles, consumption patterns, and economic practices with a clear commitment to sustainability. As the most urgent design task of the 21st century, it is important to put digitalisation's enormous creative power at the service of the great transformation. The "great transformation" refers to the comprehensive restructuring of technology, the economy, and society in order to deal with the social and ecological challenges of the 21st century. This is a task for state action in terms of both regulatory policy orientation and facilitating collective processes of change - new tasks call for new governance.
A digital-ecological statecraft is the indispensable prerequisite for effective state action to shape the social-ecological digital transformation. Using the example of the platform economy, we explore challenges, starting points, and (policy) measures.
Variations in quantity, quality and time availability of input materials pose a major risk to circular supply chains (CSC) and require new models for creating and evaluating adaptive and resilient CSC in the circular economy (CE). This can be achieved through consistent modelling of the overarching relationship between resource input- and output streams, without neglecting the associated risks.
The model proposed below consists of five components based on five resilience requirements for supply-chains (SCs). It provides a data-based recommended course of action for managers with a low entry-barrier. It consists of a CSC visualization, safety stock calculation, risk monitoring for each SC node, reporting logic, and a measurement catalogue. The inspiration for this model came from an innovative case study ("Zirkelmesser") in the metal processing industry, where secondary products and materials are used to produce new products. Here, the problem of maintaining the resource supply arose and led to resilience issues. The mentioned case study serves as an application example for the model application and contributes to making emerging circular supply chains predictable and more controllable, thus increasing their resilience.