An agent-based method for planning innovations
by Jörg Klasen; Donald Neumann
International Journal of Innovation and Sustainable Development (IJISD), Vol. 5, No. 2/3, 2011

Abstract: Identifying potential demand for radical innovations is a major challenge for business planning. Nonetheless, decision making is still based on forecasts. Thus, better forecasting models lead to better decisions. This work suggests a new agent-based simulation model that merges concepts of diffusion models and discrete choice models. Thereby, a glimpse into market timing, market potential and the underlying individual preferences is possible. The model is applied in the study of Germany’s goal of 1,000,000 electric cars sold until 2020.

Online publication date: Thu, 13-Oct-2011

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