Customer knowledge contribution is an important source of enterprise innovation. Hence enterprises start to attract users to contribute their knowledge through online innovation communities. This study adopts a social network perspective to investigate how the network characteristics (i.e., network redundancy) influence users’ knowledge contribution in online innovation communities. Using data from a typical innovation community — LEGO IDEAS, we construct a conditional process model to deeply examine the influencing path, in terms of the mediation process and the moderation. The results show that information redundancy mediates the effect between network redundancy and knowledge contribution. Moreover, the effect is stronger for users with smaller network size.
Li, Na; Qi, Guijie; and Chen, Jiali, "Network Redundancy and Knowledge Contribution in Online Innovation Communities: A Conditional Process Analysis" (2021). PACIS 2021 Proceedings. 152.
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