Research On The Influencing Factors Of User Knowledge Contribution Behavior In Question And Answer Community

Various types of search software have expanded interactive services and launched a question-and-answer community.With the development of the Q&A community,the content in the community is gradually saturated,and the enthusiasm of participants is gradually lost.Most community users only browse in silence,occasionally answer,which will be detrimental to the sustainable development of the Q&A community.The Q&A community should pay attention to balancing the relationship between new and old users,not only to attract the participation of new users,to encourage new users to contribute knowledge,but also to choose a suitable way to revive the knowledge contribution enthusiasm of old users.This article takes users in the Q & A community as the research object,collects data through questionnaires,combines structural equation models,uses SPSS and Amos for data analysis,and studies the influencing factors of their knowledge contribution in answering others 'questions in the Q & A community.The results show that before users use the Q&A community,the higher their expectations of the Q&A community,the more likely they are to contribute knowledge,the more satisfied they are with the results,the more likely they are to contribute knowledge,the greater the user's return,the greater the possibility of knowledge contribution.The more satisfied users are with the Q&A community,the less likely they are to complain about the Q&A community,and the more likely they are to contribute knowledge.According to the research results,the Q&A community should improve the Q&A community from four aspects: perfecting the promotion model,establishing an incentive mechanism,guiding users to the correct knowledge contribution attitude,and establishing a trust and reciprocity mechanism,this will help attract more new users and increase the loyalty of old users.