Research On Different Levels Of User Contribution Behavior In Open Innovation Community

Innovation is an important driving force for economic development and social progress.For enterprises,innovation is an important source of their core competitiveness,which helps enterprises survive and develop in the competition of survival of the fittest.With the development of the Internet,technological progress,acceleration of product iteration and more diversified user needs,the traditional closed innovation of enterprises can no longer meet the needs and is eliminated.More and more enterprises break the internal and external connection of the organization,choose the open innovation mode,and use external resources to help enterprises realize innovation.Open innovation community is an important mechanism for enterprises to realize open innovation.Enterprises realize the transformation of external innovation resources into internal enterprises by promoting and encouraging users to participate in community activities and generate contribution behaviors.Users are the main body of open innovation community,and also important external resources for enterprises to realize product and service innovation and upgrading.Enterprises can collect and select valuable innovative ideas from users’ content and communication activities and apply them to product upgrade research and development,so as to achieve collaborative innovation.However,the continuous growth of community users makes their behaviors complicated and diversified,and many open innovation communities are faced with problems of declining user stickiness and low activity.Enterprises need to pay attention to how to mine valuable ideas from massive information and how to motivate users to contribute to innovation.Besides,users at different levels in the community are characterized by heterogeneity.Their contribution behavior is different,analyzing different levels of user contribution behavior is conducive to improving user experience and promoting user innovation contribution.Therefore,considering the user level,this paper studies three aspects: "types of user contribution behaviors","influencing factors of user contribution behaviors" and "topics of user contribution content" in open innovation community.Taking the open innovation community "Glory Club" as the research object,the user forum Posting content and user attribute characteristics were collected through data crawling,and the users were divided into primary,intermediate and advanced levels according to the community level.The research content is as follows:(1)Based on the qualitative analysis method of grounded theory,conceptualize and categorize user contribution behavior from the perspective of user Posting content,obtain the types of user contribution behavior,and make a comparative analysis of the number of different levels of user behavior coding reference points;(2)Based on the theory of social capital,a negative binomial regression model was used for empirical analysis from the three dimensions of structural capital,relational capital and cognitive capital,and three regression models of primary,intermediate and advanced user samples were established respectively to further analyze the differences of factors influencing user contribution behavior at different levels.(3)The keyword extraction and LDA topic model based on TF-IDF were used to mine the keywords and topics of users’ Posting content,and the topic characteristics of users at different levels were compared and analyzed;The purpose is to clarify the characteristics of different levels of users’ contribution behaviors,influencing factors and topics of concern in the open innovation community,so as to help enterprises to deeply understand the types of users’ contribution behaviors,influencing factors and preferences,obtain valuable creative ideas from user-generated content,and better guide community management,promote user innovation contribution and promote enterprise integrated innovation.The results show that(1)The contribution behaviors of users in open innovation community include seven types: knowledge sharing,consultation and help,suggestions,problem feedback,self-presentation,communication and interaction,and regulation,and the number of coding reference points of contribution behaviors of users at different levels is different.The consultation and help behaviors of primary users are the most common,while the knowledge sharing behaviors of intermediate and advanced users are the most common.(2)Social exposure,identity and peer recognition have a significant positive effect on user contribution behavior,while user experience has a negative moderating effect on the relationship between identity,peer recognition and user contribution behavior.For different levels of users,the significance of independent variables on user contribution behavior is different,and the moderating effect of user experience is also different.(3)LDA modeling is carried out for the overall user,and four themes are obtained,which are system upgrade and optimization,function setting and use,specific software and function,and product use experience;Among them,primary users are concerned about system functions,user experience,and software and hardware usage;Intermediate users focus on the content including optimization and upgrade,user experience and specific use problems;Advanced user concerns include system functions,optimization and upgrade,and user experience.The findings of this paper further expand the existing research results on user contribution behaviors in open innovation communities,and provide suggestions and references for enterprises to build and manage communities and motivate users to contribute valuable ideas.