| With the increasingly diversified and personalized needs of users,enterprises are facing higher challenges in innovation.In the past,the closed innovation mode which only relied on the internal resources of the organization is no longer sustainable,so how to solve the problem of lack of knowledge and innovation bottleneck has become a topic of widespread concern.Open innovation believes that enterprises should make full use of external actors and resources for innovation,including individual,customer and supplier resources.In the era of knowledge economy,with the change of innovation mode and the popularization of Web 2.0 applications,open innovation and crowdsourcing communities become more and more common.However,the long-term operation and prosperity of the open innovation community cannot be achieved without the active participation of users.Therefore,how to effectively attract potential innovative users to participate and keep the community platform active is a core challenge facing the open innovation community.In order to solve this problem,scholars have explored the motivation and influencing factors behind user contribution behavior from psychological,social and functional perspectives.Among them,the creative self-efficacy of users is concerned,which means that a more in-depth analysis of the role of self-efficacy is needed to understand the relationship between the user’s self-efficacy and the motivation to contribute knowledge.This paper specifically studies the following questions:1.How do different sources of information about self-efficacy affect users’ contributed knowledge?In other words,this paper discusses the four information dimensions of self-efficacy:mastery experience,surrogate experience,verbal persuasion and emotion and mental state.2.Is there a correlation between different information sources,that is,does the emotional state of users play a mediating role in the relationship between peer verbal persuasion and knowledge contribution?And whether the extent of this influence is influenced by the user’s location(embeddedness)in the network.According to the theory of emotional social information,emotional expression can affect the behavior of observers by stimulating their emotional responses.This paper took Instructables,an open innovation community,as the empirical research object,compiled a Python crawler program to obtain creative data,and used Ucinet software to build an interactive network and calculate the relevant centrality index.Secondly,text sentiment analysis is used to calculate the sentiment score of the comments.Finally,Stata was used to perform panel regression test for the research hypothesis model,and stepwise regression and Bootstrap test were also conducted for the mediating effect and moderating effect.The results prove that the four information sources of self-efficacy have a positive effect on users’knowledge contribution,and also prove that verbal persuasion can indirectly affect users’knowledge contribution behavior by indirectly affecting their personal emotional states,and the stronger the users’ embedment in the network,the weaker the mediating effect.The main innovation points of this paper are as follows:(1)Explore the influence mechanism of multiple sources of self-efficacy on users’ knowledge contribution at the same time.Most of the previous studies on self-efficacy used it as a single dimension to study the impact on knowledge contribution or innovation behavior,ignoring the role of different sources.(2)Incorporate emotional social information theory into the research of open innovation community.Most of the current researches on the social effect of emotion based on EASI model are about the expression of a single emotion at a single time point in a single interactive situation.And lack of research on the long-term effects of emotional expression.We use long-term panel data to trace the long-term social effects of emotional expression and expand the application scope of emotional social information theory. |
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