Research On Influencing Factors And Paths Of Innovation Performance In Open Innovation Community

Users play an important role in the open innovation process of enterprises and are one of the important sources of external innovation resources of enterprises under the background of big data.In order to attract users to participate in open innovation,many enterprises have established open innovation communities such as Haier,Huawei and Midea in China,and open innovation communities such as DELL,LEGO and Starbucks in foreign countries.However,at present,there are still many problems in the open innovation community,such as massive fragmentation of innovation knowledge,insufficient innovation output,and poor innovation quality.It is urgent for relevant theories to promote users to participate in innovation enthusiasm in order to improve the innovation performance of the community.At the same time,the rise of social network theory has brought a new research perspective to open innovation,emphasizing the decisive role of user network relationship and structure on user participation in innovation behavior and community innovation performance.Therefore,for the research of open innovation community,it is necessary to explore the relationship and influence path between user participation in innovation behavior and community innovation performance from the perspective of user innovation network.At present,the measurement of user innovation network relationship mostly stays in the qualitative description of community user relationship and lacks the overall description of community user relationship network.In addition,users are the providers and sharers of innovative knowledge,and different user categories will have different innovative behaviors in the community.Therefore,based on the accurate description of the user innovation network,it is necessary to further clarify the performance impact path of the innovation community.At the same time,it is very necessary to further analyze the differences in the impact path of different user groups by refining the user categories and building a multi-group structural equation model.Because the open innovation community has the characteristics of openness,sharing and virtuality,the network relationship formed by users based on the Internet platform is different from the traditional social relationship.Therefore,this paper first analyzes the connotation and characteristics of the user innovation network of the open innovation community,and constructs a research model of the influencing factors and paths of the innovation performance of the open innovation community based on the social capital theory;Secondly,the community user innovation network is displayed in a visual way;Thirdly,the structural equation model is used to verify the research model and hypothesis;Finally,through the subdivision of user categories,a multi-group structural equation model is constructed to further analyze the differences in the impact path of different categories of users on innovation performance.Therefore,the conclusions summarized in this paper are as follows:(1)By building a community user innovation network,the characteristics of the user innovation network are clarified,and the user’s position in the network is discussed from the point centrality,intermediary centrality,proximity centrality and feature vector centrality,and different management strategies are proposed for different user types.(2)Based on the structural equation model,the research model of influencing factors and influencing path of innovation performance of open innovation community is constructed.Through the analysis of user data of Xiaomi Community,it can be concluded that the three-dimensional dimension of user innovation network has a significant impact on the breadth and depth of user participation in innovation,thus ultimately affecting the community innovation performance.(3)It reveals the intermediary role of the breadth and depth of user participation.In an open innovation community,the closer the innovation relationship network between users is,the more users can be promoted to release ideas,and the higher the average quality of ideas released,so as to attract the attention of community managers and be listed as proposals by community managers.(4)It reveals the impact of different categories of users.On different paths,there are significant differences in the impact of different types of user groups in the open innovation community on community innovation performance.Finally,this paper proposes relevant policy suggestions,and further expounds the limitations of the research and the prospect of the future,according to the empirical research results...