Actor Behaviour and Robustness of Industrial Symbiosis Networks: An Agent-Based Modelling Approach

Industrial Symbiosis Networks (ISNs) consist of firms that exchange residual materials and energy locally, in order to gain economic, environmental and/or social advantages. In practice, ISNs regularly fail when partners leave the recovery streams ends. Regarding current societal need for a shift towards sustainability, it is undesirable should fail. Failures may be caused by actor behaviour leads unanticipated economic losses. this paper, we explore effect these behaviours on ISN robustness using an agent-based model (ABM). The constructed based insights from both literature participatory modelling three real-world cases. It simulates implementation synergies local waste compost production. Theory Planned Behaviour (TPB) was used agent time-dependent bilateral negotiations synergy evaluation processes. We explored with without TPB logic across range possible input variables. simulation results show how modelled planned affects cash flow outcomes agents network. study contributes theoretical development industrial symbiosis research providing quantitative all stages, which various behavioural patterns entrepreneurs are included. also practice offering network dynamics not only related context design, but behaviour.