Research On The Influencing Factors Of User Information Searching Efficiency In Online Communit

In the era of Internet knowledge economy,the search and acquisition of knowledge and information is no longer restricted by geography,time and space.There are many kinds of information search channels and various forms.Social media such as the online community has attracted a large number of people to participate in it because of its low entry barrier,rich content resources and strong sociality.It has gradually become an important platform for netizens to obtain information,important ways of knowledge resources and knowledge sharing.As a platform that integrates content and socialization,the online community is a platform for users to obtain information and exchange and share.However,the fast iteration of content and information in the network platform,the strong signal and noise,and the quality of the content are different,which brings challenges for users to efficiently search for valuable information.In the explosive information environment of the online community,improving the efficiency of user information search and realizing the minimum time,money,energy and other inputs,and effectively satisfying the user information needs have become an urgent problem to be solved.Therefore,in order to solve the problem of how to improve the efficiency of users' use of online community information search,it is crucial to find the factors that affect the efficiency of user information search and its mechanism of action.By arranging the domestic and international literatures on online community,information search and efficiency,this paper finds that there are few researches on the efficiency of online community user information search and its influencing factors,and based on this,theoretical and empirical research is carried out.Firstly,based on the theory of efficiency,social cognition and information behavior,this paper combines the current network community and user characteristics to determine the impact of network community user information search efficiency,and constructs a theoretical model of influencing factors.Then,based on the construction of research hypothesis and influencing factors model,this paper uses empirical research methods to verify themodel.The empirical research process is as follows: design questionnaires,issue questionnaires to users with rich experience in the use of online communities,collect data;use SPSS to analyze sample data,and use structural equation modeling to verify and analyze the conceptual model proposed in this paper.Finally,combined with the conceptual model after analysis and verification,combined with the current situation of the network community and users,it proposes suggestions and methods to improve the efficiency of online community user information search from the user,network community and social environment.In a word,this paper provides a new perspective for the research of information search efficiency of online community users,and provides a theoretical basis for improving the efficiency of online community user information search and network community optimization.