Fuzzy cognitive research on influencing factors of technology innovation: In view of path dependence

Technology innovation promotes the economic growth of an enterprise. Innovation is not only an adaptive learning and cultural evolvement process but a market error trial process, during which there are a large number of random factors available with obvious unconformity and accumulation. Therefore, there are path dependences during the technology innovation. Based on the path dependence theory, this paper aims to establish a technology innovation evaluation frame and emphasize the important influence effects of path dependence factors on the enterprise technology innovation. Fuzzy cognitive map method is thereby used to identify causal relations among factors and describe FCM structural diagram for evaluation on the enterprise technology innovation. Meanwhile, a fuzzy feedback system of technology innovation evaluations is hereby established integrating with non-linear Hebbian learning algorithm, and the dependence on expert opinions may be avoided through learning and practice of the cognitive map. Finally, under the assistance of computer software platform, a dynamic simulation on any complex index system is realized accordingly, from which stable conditions can provide path references for an enterprise in carrying out technology innovations and improving the integral efficiency and effect of any realistic technology innovation activity.