Sustainable Furniture that Grows with End-Users

Economically and environmentally it might be more responsible or even feasible to combine products and services to elongate product lifetime. Gispen, a major office furniture producer in the Netherlands, has embraced circular economic principles to create new business, extend product life time and improve the adaptability of their products. In the Use-it-Wisely (UIW) project two applications were developed. To estimate possible business impacts of adapting a circular economy concept for a company, a dynamic business model simulation has been created by using the system dynamics methodology. And second, Gispen has developed a new Circular Economy Design Framework to support circular product design development. A combination of basic principles to design, upgrade, and reuse products according to circular economy principles are included in the framework as well as a circular life cycle assessment methodology. The development process, non-confidential company results of the tool application and directions for future research are described in this chapter

Testing the consistency between goals and policies for sustainable development: mental models of how the world works today are inconsistent with mental models of how the world will work in the future

International audienceUnderstanding complex problems such as climate change is difficult for most non‐scientists, with serious implications for decision making and policy support. Scientists generate complex computational models of climate systems to describe and understand those systems and to predict the future states of the systems. Non-scientists generate mental models of climate systems, perhaps with the same aims and perhaps with other aims too. Often, the predictions of computational models and of mental models do not correspond with important implications for human decision making, policy support, and behaviour change. Recent research has suggested non-scientists’ poor appreciation of the simple foundations of system dynamics is at the root of the lack of correspondence between computational and mental models. We report here a study that uses a simple computational model to ‘run’ mental models to assess whether a system will evolve according to our aspirations when considering policy choices. We provide novel evidence of a dual-process model: how we believe the system works today is a function of ideology and worldviews; how we believe the system will look in the future is related to other, more general, expectations about the future. The mismatch between these different aspects of cognition may prevent establishing a coherent link between a mental model’s assumptions and consequences, between the present and the future, thus potentially limiting decision making, policy support, and other behaviour changes