| Titre | Innovation, dynamics and the myths about knowledge, technology and R&D-driven economic growth: an evolving network model | |
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| Auteur | Hicham M. Hachem, Hicham M. Hachem | |
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Revue | Journal of Innovation Economics |
| Numéro | no 23, 2017 Innovation Boosters in Economic Systems | |
| Page | 13-32 | |
| Résumé anglais |
This paper seeks to show problems which follow from wrong assumptions about the key drivers of innovation policy and theory. A theoretical evolving network model is proposed for that purpose, taking into consideration innovation opportunities that are not necessarily driven by technological discoveries, R&D or knowledge diffusion. Innovation is defined by a new combination of means of production, and is introduced to the initial condition by rewiring a regular graph model. Dynamics of the diffusion process are captured by the statistical reconstruction of the solutions for recurrence equations within a discrete time perspective. Simulation results show that innovation gives rise to essentially unstable turbulent dynamics. Stability analysis implies an alternative interpretation of the nature of innovations and their dynamics. As a source of economic change, innovations are conjectured to be dependent on scale and diversity. They are closely linked to novelty, rather than to previous states of knowledge or technology.JEL Codes: C51, C61, E32, O11, O33 Source : Éditeur (via Cairn.info) |
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| Article en ligne | http://www.cairn.info/article.php?ID_ARTICLE=JIE_PR1_0011 |
