Research On The Process And Driving Factors Of Knowledge Fusion In Collaborative Innovation Based On Knowledge Distance

Nowadays,innovation,a key and effective way to improve social and economic development,has been stressing and advocating to achieve a high level of technology internationally by the Chinese government.But it is extremely difficult for enterprises of some new developing industries to complete innovative projects independently,so cooperation is needed urgently to solve technical problems and achieve innovation breakthroughs.Knowledge fusion as a foundation of collaborative innovation,at the micro level,is the key step in the production process of new knowledge,so the quantity of it in cooperation will be as the measurement basis of innovation.In this process,it will lead to a negative impact when the capabilities of cooperative enterprises are extremely mismatched,and therefore,it is the premise for knowledge fusion to select the appropriate collaborative partners,which has been described as the knowledge distance.As a result,the thesis focuses on the research gap of the connection between knowledge fusion and knowledge distance neglected by previous studies,which aims at finding the proper knowledge distance that can promote knowledge fusion in the maximum extent by knowledge base and knowledge input.Firstly,this thesis uses the Hansen panel threshold model which can find the appropriate range of knowledge distance to significantly increase the quantity of knowledge fusion,and selects the panel data of listed companies from 2015 to 2020 in the new energy industry and finally 60 companies are obtained for data integrity of variables studied.The results show that knowledge distance has a double threshold effect in the research framework of knowledge base and knowledge input on knowledge fusion.Specifically,firstly,when the knowledge distance gradually decreases,the result that knowledge base width affects knowledge fusion early manifests as negative inhibition,then becomes positive promotion,and finally turns into negative again inhibition,and if the knowledge distance is too high or too low,there is a negative effect to promote knowledge fusion.Secondly,in the connection between knowledge base depth and knowledge fusion,if knowledge distance exceeds a certain limit,it will obviously show that knowledge base depth negatively inhibits knowledge fusion,and only when the knowledge distance is low,the knowledge base depth can positively promote the level of knowledge integration.Thirdly,knowledge input will significantly inhibit the level of knowledge fusion when the knowledge distance is low,and as the knowledge distance increases,the inhibitory effect is significantly weakened,but when the knowledge distance is too high and exceeds a certain limit,The inhibitory effect is strongly and significantly enhanced,and it exceeds the inhibitory strength of knowledge input on knowledge fusion under low knowledge distance.Secondly,this thesis introduces the knowledge gene theory,analyzes the micro process of generating new knowledge in the process of knowledge fusion from the perspective of knowledge genes,and constructs a conceptual model to clarify the internal mechanism of the micro process of knowledge fusion.At the same time,based on actual collaborative innovation case data,the theoretical model is quantitatively simulated and analyzed using system dynamics methods,revealing the key influencing factors that restrict the fusion of multi-source knowledge to generate new knowledge in collaborative innovation.Above all,this thesis proposes the following some practical suggestions.First,it is necessary to ensure that there are similar parts in technical fields among cooperative enterprises,so that knowledge can be combined more efficiently;Second,there should be different knowledge and new technical fields among them so that it can provide new innovation inspiration,improve the organization’s innovation motivation,and maintain the innovation enthusiasm for them.Thus,the technical fields of collaborative enterprises should be both complementary in technical resources and related fields,so that the knowledge base can exert the greatest positively effect in the process of knowledge integration,promote the generation of new knowledge,and improve ability of organization’s technical innovation,so enterprises can maintain and improve competitiveness in the market.Moreover,there is a tip about selection of partners: avoid large development scale gap among cooperative enterprises,otherwise it will lead to that negatively affect the willingness to cooperate and inhibit knowledge fusion in collaborative innovation.