[目的/意义] 探讨开放式创新社区中知识重混的影响因素，为开放式创新社区用户创新和社区可持续发展提供一定的指导和参考。[方法/过程] 基于精细加工可能性模型，从知识特征和知识贡献者特征两方面构建开放式创新社区中知识重混的影响因素模型。通过爬取Thingiverse社区3D Printing模块的客观数据，运用负二项回归对影响因素进行实证研究。[结果/结论] 在中心路径中，受关注度、继承性对知识重混均具有显著正向影响，而复杂度对知识重混具有负向影响；在边缘路径中，知识贡献者参与度、内向社交网络中心度、专业知识水平对知识重混均具有显著正向影响。

[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.