Co-Evolution of Standards in Innovation Systems
Mitigating climate change is one of the most profound challenges facing humankind. In industrialized countries, the residential housing sector produces roughly one-fourth of the greenhouse gas emissions. One solution to reduce these emissions is the availability of building codes that require high levels of energy efficiency. Given the current scientific knowledge, more research is needed to gain a proper systemic understanding of the underlying socio-economic and technical system. Such an understanding is crucial for developing high energy-efficiency standards because this system develops gradually over time and cannot be changed swiftly.
This book creates a feedback-rich simulation model for analyzing the effects of different administrative policies on energy demand, the improvement of energy efficiency by means of building codes, and reductions in the greenhouse gas emissions. The dynamic model can contribute substantially to the discourse on energy policies and guide effective administrative interventions. The book will be a valuable resource for officials in the public energy administration, as well as researchers in the areas of innovation, diffusion processes, co-evolution, standardization, and simulation modelling.
Stefan N. Grösser is a professor of Strategic Management at the Bern University of Applied Sciences, Switzerland and a lecturer for System Dynamics at the University of St. Gallen, Switzerland. He has also served as a visiting scholar to the System Dynamics Group at the Sloan School of Management, Massachusetts Institute of Technology, and has completed numerous degrees: in Business Administration and Economics at the University of Stuttgart, Germany, in System Dynamics at the University of Bergen, Norway, and in Management at the University of St. Gallen, Switzerland. His research interests include strategic management, diffusion management, business models, mental models, and simulation methodology. He has published in the journals European Journal of Operational Research, System Dynamics Review, and Systems Research and Behavioral Science.
