Abstract
Policy makers are increasingly required to play a proactive role in the stimulation of innovation creation and diffusion. Such a role poses serious challenges having to do with the design and implementation of effective policies, which requires a deep understanding of diffusion processes.
This paper presents an agent-based decision support tool for policy makers, providing useful insights in the design of incentive policies aimed at maximizing the diffusion of a generic innovation among a population of potential adopters. Such public intervention is tested in an agent-based framework in order to assess its efficiency and effectiveness.
The results show the opportunity to give incentives in order to stimulate a particular diffusive phenomenon, giving useful insights to policy makers as regards the target to address specific policies.
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Ferro, E., Caroleo, B., Cantamessa, M., Leo, M. (2010). Policy Incentives for Innovation Diffusion: An Agent-Based Simulation. In: Andersen, K.N., Francesconi, E., Grönlund, Å., van Engers, T.M. (eds) Electronic Government and the Information Systems Perspective. EGOVIS 2010. Lecture Notes in Computer Science, vol 6267. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15172-9_17
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DOI: https://doi.org/10.1007/978-3-642-15172-9_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15171-2
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