000			01822cam a2200229 4500500
005			20250121084754.0
041			_afre
042			_adc
100	1	0	_aHachem, Hicham M. _eauthor
245	0	0	_aInnovation, dynamics and the myths about knowledge, technology and R&D-driven economic growth: an evolving network model
260			_c2017.
500			_a11
520			_aThis 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
690			_anonlinear dynamics
690			_adiffusion
690			_agraph theory
690			_ainnovation
690			_atechnology
690			_aknowledge
786	0		_nJournal of Innovation Economics & Management | o 23 | 2 | 2017-05-15 | p. 13-32
856	4	1	_uhttps://shs.cairn.info/journal-of-innovation-economics-2017-2-page-13?lang=en&redirect-ssocas=7080
999			_c506391 _d506391