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Innovation, dynamics and the myths about knowledge, technology and R&D-driven economic growth: an evolving network model

Abstract : 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.
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https://hal-u-picardie.archives-ouvertes.fr/hal-03823656
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Soumis le : vendredi 21 octobre 2022 - 09:49:15
Dernière modification le : samedi 22 octobre 2022 - 03:20:15

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Hicham Hachem. Innovation, dynamics and the myths about knowledge, technology and R&D-driven economic growth: an evolving network model. Journal of Innovation Economics & Management, 2017, 23 (2), pp.13-32. ⟨10.3917/jie.pr1.0011⟩. ⟨hal-03823656⟩

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