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Between radical and market-based innovation : simulated evolution of a project population

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Date
2004
Dewey
Direction d'entreprise
Sujet
Agent-based model; Genetic algorithm; Gestion de projet; Project; Innovation
JEL code
O22; O14
Journal issue
European journal of economic and social systems
Volume
17
Number
1-2
Publication date
2004
Article pages
147-165
Publisher
EDP sciences
URI
https://basepub.dauphine.fr/handle/123456789/970
Collections
  • DRM : Publications
Metadata
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Author
Cartier, Manuel
Type
Article accepté pour publication ou publié
Abstract (EN)
The dilemma between radical and market innovations is unlighted here by a simulation. Following evolutionist theory and innovation management, an agent-based model issued from genetic algorithm is built. In a perfect world, transformation and selection create dynamics and emergence in an agent population. Examining that population evolution which consists in a stylized representation of upcoming projects in the organization appears full of lessons. Results put into relief Lamarckian and Darwinian adaptation mechanisms, their relations with the environment and their interactions. Simulations show the existence of an optimum level of experimentation and experimentation of projects upstream the innovation process, demonstrates that the efficiency of evolutionist processes is contingent to environment complexity and allows exploring interdependencies and coexistence between two paths of evolution. The model validity is approach through similarity to admitted theory and through a study of the innovation process of Renault, a French carmaker. Innovation process of this organization appears as a wonderful field to confront our results.

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