Policy Incentives for Innovation Diffusion: An Agent-Based Simulation

Item Type: Article
MIUR type: Article > Journal article
Title: Policy Incentives for Innovation Diffusion: An Agent-Based Simulation
Authors string: Ferro E., Caroleo B., Cantamessa M., Leo M.
University authors:
Journal or Publication Title: LECTURE NOTES IN COMPUTER SCIENCE
Referee type: Not specified type
Publisher: Springer
Volume: 6267
Page Range: pp. 166-173
Number of Pages: 8
ISSN: 0302-9743
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
Date: 2010
Status: Published
Language of publication: English
Uncontrolled Keywords:
Departments (original): DISPEA - Production Systems and Business Economics
Departments: DIGEP - Department of Management and Production Engineering
Related URLs:
    Subjects: Area 09 - Ingegneria industriale e dell'informazione > TECNOLOGIE E SISTEMI DI LAVORAZIONE
    Date Deposited: 13 Sep 2010 11:09
    Last Modified: 16 Oct 2013 03:55
    Id Number (DOI): 10.1007/978-3-642-15172-9_17
    Permalink: http://porto.polito.it/id/eprint/2372940
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