[Purpose/significance] This study explores the influencing factors of knowledge remixing in open innovation community, so as to provide some guidance and reference for user innovation and sustainable development of open innovation communities. [Method/process] Based on the elaboration likelihood model, this paper constructed the influencing factor model of knowledge remixing in open innovation communities from two aspects of knowledge characteristics and knowledge contributor characteristics. Through crawling the objective data of 3D printing module of Thingiverse, this paper conducted empirical research on the influencing factors by using negative binomial regression. [Result/conclusion] The results show that in the central path, attention and inheritance have a significant positive impact on knowledge remixing, but complexity has a negative effect on knowledge remixing; In the marginal path, knowledge contributor participation, inward social network centrality and professional knowledge level have a significant positive impact on knowledge remixing.
Gao Tian
,
Ren Nan
. Research on Influencing Factors of Knowledge Remixing in Open Innovation Communities: Taking Thingiverse as an Example[J]. Knowledge Management Forum, 2022
, 7(2)
: 133
-142
.
DOI: 10.13266/j.issn.2095-5472.2022.011