The Impact Of Corporate Digital Transformation On The Innovation Ecosystem

The continuous innovation of the new generation of information technology,especially the application of technologies such as big data,cloud computing,artificial intelligence,and Internet of Things,has triggered a wave of enterprise digital transformation.The digital transformation has made a profound impact on the production and operation activities of enterprises,and it has also changed the organization and management of innovation activities.From the perspective of the innovation ecosystem,the digital transformation of individual enterprises leads to changes in innovation activities,which will converge and emerge new features at the system level.However,existing research pays less attention to this“bottom-up” complex phenomenon,which is not conducive to a comprehensive and in-depth understanding of the relationship between digital transformation and innovation activities.This thesis constructs a multi-agent model,and studies the impact of digital transformation on the innovation ecosystem under the framework of dynamic market size and industrial policies,and verifies the results of numerical experiments through case studies.Research shows that in the growing market,the digital transformation effect is the best,the innovation success rate and innovation income of the innovation ecosystem are obviously increased.In the stable market,the digital transformation results are second best.In the recessional market,the result of digital transformation is the worst,and its innovation income also showed an up-down trend.In addition,the effect of policy is mainly to accelerate the evolution of the innovation ecosystem and improve innovation performance.However,the effects of various policy instruments are not obvious in a recessionary market.This shows that not all enterprises and industries can benefit from digital transformation.No matter for enterprise development or policy formulation,it is necessary to make contingency decisions according to market scale characteristics.The case analyses of chemical fiber manufacturing,electronic equipment manufacturing and ferrous metal processing industry in Zhejiang Province show that the multi-agent model and numerical experimental results of this thesis can better reflect the reality.The main contribution of this research is to build a multi-agent model,comprehensively study the relationship between digital technology and innovation activities from enterprise and innovation ecosystem the two levels,which will help deepen the understanding of theory between digital transformation and innovation ecosystem.At the same time,this thesis puts forward some guidance and suggestions for the digital transformation of the innovationecosystem under different market scales and the formulation of policy measures,which has certain practical meaning.