The Study of Innovation Network Formation Mechanism Based on Evolution Game
Kun Wang
Abstract
Kun Wang
Abstract
With the rapid development of information technology and the constantly changeable competitive environment,companies begin to obtain new resources by innovation networks.This article studies the main node in the innovation network using evolutionary game,constructs the replication dynamic evolutionary model of the innovation network formation.By making comparison with the payoff matrix generated by different decisions of game parties,the article gets the equilibrium solution when the system is stable.The result shows that the less enterprise cooperation innovation investment cost,greater input and output elasticity coefficient and the cooperative innovation effect,stronger innovation capability is,the greater the probability of the enterprise innovation network formation is,the easier the network is to achieve a stable state.
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With the rapid development of information technology and the constantly changeable competitive environment,companies begin to obtain new resources by innovation networks.This article studies the main node in the innovation network using evolutionary game,constructs the replication dynamic evolutionary model of the innovation network formation.By making comparison with the payoff matrix generated by different decisions of game parties,the article gets the equilibrium solution when the system is stable.The result shows that the less enterprise cooperation innovation investment cost,greater input and output elasticity coefficient and the cooperative innovation effect,stronger innovation capability is,the greater the probability of the enterprise innovation network formation is,the easier the network is to achieve a stable state.
Key concepts: Stochastic game, Network formation, Mechanism (biology), Output elasticity, Replicator equation, Industrial organization, Investment (military), Evolutionary game theory