| 网络创新社区知识产品重混影响因素的实证研究 |
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| 引用本文： | 谭娟,谷红,苗冬青.网络创新社区知识产品重混影响因素的实证研究[J].科技管理研究,2020,40(3):8-13. |
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| 作者姓名： | 谭娟 谷红 苗冬青 |
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| 作者单位： | 北京工商大学商学院,北京 100048;北京工商大学商学院,北京 100048;北京工商大学商学院,北京 100048 |
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| 基金项目： | 国家社会科学“网络创新社区中知识重混的影响因素和作用机制研究”(18CSH019)。 |
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| 摘 要： | 基于创新扩散理论,提出知识产品重混影响因素的分析模型,并通过thingiverse网站收集数据验证知识产品属性与重混的影响关系。研究结果表明:受关注度、用户交互对知识产品重混均有正向影响;而知识复杂度与重混创新之间呈倒U型关系;延续创新特征对重混创新不存在明显的正向激励作用。
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| 关 键 词： | 知识产品重混 创新扩散 知识复杂度 受关注度 用户交互 |
| 收稿时间： | 2019/3/27 0:00:00 |
| 修稿时间： | 2019/4/16 0:00:00 |
Empirical Study on the Influencing Factors of Knowledge Product Remixing in Network Innovation Community |
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| Abstract: | Remixing of knowledge products has become one of the mainstream innovation models of (OIC) in network innovation communities. It is of great practical significance to explore the influencing factors of remixing knowledge products of network innovation community for better stimulating the kinetic energy of open innovation. Based on innovation diffusion theory, the research propose an analytical model of influencing factors of knowledge product remixing, and the relationship between knowledge product attributes and remixing is verified by collecting data from thingiverse website. The results show that attention degree and user interaction have a positive effect on the remixing of knowledge products, and the relationship between knowledge complexity and remixing innovation is inversely U-shaped. There is no obvious positive effect of continuous innovation on heavy mix innovation. |
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| Keywords: | remixing of knowledge products innovation diffusion knowledge complexity attention degree user interaction |
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