User participation and idea performance are essential for the success of open innovation communities (OICs) as valuable sources of innovation. Interaction within OICs plays a crucial role in the idea generation process. This study examines the relationship between user-to-user and user-to-firm interactions and their effect on the idea generation performance. Using a transactive memory system, a research model is proposed to explore the influences of user interaction characteristics (i.e., specialization, credibility, and coordination) on idea generation performance and the mediating effect of content richness. Furthermore, we reveal whether metadiscourse in firm feedback (i.e., interactive and interactional resources) moderates the association between interaction characteristics and idea generation performance. A dataset of 7,603 ideas from the Huawei's Joint Definition Community (JDC) is analyzed to verify the research model. Results show an inverted U-shaped relationship between specialization and idea generation performance. Coordination and credibility among users have positive effects on idea generation performance. Content richness has a mediating effect on the relationship between interaction characteristics and idea generation performance. Moreover, metadiscourse enhances the influences of specialization, credibility, and coordination on idea generation performance. These findings provide rich insights into idea generation performance in open innovation and offer practical implications.

中文翻译：

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开放式创新社区中的创意生成绩效：用户交互的作用


作为宝贵的创新来源，用户参与和创意表现对于开放创新社区 (OIC) 的成功至关重要。 OIC 内部的互动在创意产生过程中发挥着至关重要的作用。本研究探讨了用户与用户之间以及用户与公司之间的互动之间的关系及其对创意生成绩效的影响。使用交互记忆系统，提出了一个研究模型来探索用户交互特征（即专业化、可信度和协调）对想法生成性能的影响以及内容丰富度的中介作用。此外，我们揭示了公司反馈（即互动和互动资源）中的元话语是否调节互动特征和想法生成绩效之间的关联。对来自华为联合定义社区 (JDC) 的 7,603 个想法的数据集进行了分析，以验证研究模型。结果显示，专业化与创意产生绩效之间存在倒 U 形关系。用户之间的协调和可信度对创意生成性能有积极影响。内容丰富度对交互特征和创意生成绩效之间的关系具有中介作用。此外，元话语增强了专业化、可信度和协调性对创意产生绩效的影响。这些发现为开放式创新中创意生成的表现提供了丰富的见解，并提供了实际意义。