集成能力、群体特性与大众协作创新绩效

Under the background of open innovation of enterprises led by increasingly complex innovation needs, a "grassroots" collaborative innovation model represented by network crowdsourcing has emerged. It is difficult to explain the above phenomenon only from the perspective of individual knowledge integration ability to study the performance of collaborative innovation. Based on this, this paper introduces group characteristic variables such as group size and member heterogeneity into the traditional enterprise innovation analysis framework for the first time, and constructs a computational experimental model based on collaborative crowdsourcing, and discusses in depth the impact of integration capability and group characteristics on the innovation performance of group collaboration. The study found that: (1) the integration ability and collaborative innovation performance are positively correlated, and its marginal influence decreases with the increase of group size. (2) The heterogeneity of members is positively correlated with the performance of collaborative innovation, and its marginal influence increases with the increase of group size. (3) When the group size is large enough, the heterogeneity of the members is sufficient to compensate for the adverse effects of low integration capacity. This paper reveals the deep logic of group collaboration innovation in the Internet environment: the "regulation effect" of group size and the "compensation effect" of member heterogeneity break the traditional elite innovation model, and then make the enterprise innovation change towards the trend of decentralization, diversification and popularization.In this paper……….. (10 Points, Times New Roman)