Circular economy business models as resilient complex adaptive systems

The Economy as a Complex Adaptive System

This chapter argues that the economic system is best perceived as a complex adaptive system, and as such, the traditional analytical methods of economics are not optimal for its study. Agent-based computational economics (ACE) studies the economic system from the bottom up and recognizes interaction between autonomous agents as the central mechanism in generating the self-organizing features of...

Applications of Complex Systems in Business and Economy

In this paper the complex systems are discussed from the business and economics point of view. It will be showed and motivated that social systems are typically chaotic and/or non-linear and therefore non-equilibrium or complex systems. It is discussed that the rapid change global consumer behaviour is underway, that further increases the complexity in the business and management. For successfu...

Circular economy as an essentially contested concept

The Circular Economy (CE) is currently a popular notion within the policy and business advocacy groups. Despite being visionary and provocative in its message, the research on the CE concept is emerging. The two intertwined objectives of the paper are; first to identify, discuss and develop the various definitions provided by the emerging literature. Secondly, to suggest an initial research app...

The Telecommunications Economy and Regulation As Coevolving Complex Adaptive Systems: Implications for Federalism

Sustainable telecommunications policies require simultaneous satisfaction of economic viability and political feasibility constraints, and meeting these constraints is increasingly difficult in a competitive regulatory regime. In prior research, Cherry has sought to provide a general analytical framework for designing sustainable telecommunications policies, relying primarily on legal and econo...

Modelling the Development and Evolution of Business Relations and Networks as Complex Adaptive Systems using Agent-Based Models