Establishing open innovation communities has evolved as an important product innovation and development strategy for companies. Yet, the success of such communities relies on the successful implementation of many user-submitted ideas. Although extant literature has examined the impact of user experience and idea characteristics on idea implementation, little is known from the information input perspective, for example, feedback. Based on the information overload theory and knowledge content framework, we propose that the amount and types of feedback content have different effects on the likelihood of subsequent idea implementation, and such effects depend on the level of users' success experience. We tested the research model using a panel logistic model with the data of MIUI Forum. The study results revealed that the amount of feedback has an inverted U-shaped effect on idea implementation, and such effect is moderated by a user's past success. Moreover, the type of feedback content (cost and benefit-related feedback and functionality-related feedback) positively affects idea implementation, and a user's past success positively moderated the above effects. Finally, we discuss the theoretical and practical implications, limitations of our research, and suggestions for future research.

中文翻译：

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越多越好？反馈和用户过去的成功对开放式创新社区中想法实施的影响

建立开放式创新社区已成为企业重要的产品创新和发展战略。然而，这些社区的成功依赖于许多用户提交的想法的成功实施。尽管现有文献已经研究了用户体验和想法特征对想法实施的影响，但从信息输入的角度（例如反馈）知之甚少。基于信息过载理论和知识内容框架，我们提出反馈内容的数量和类型对后续想法实施的可能性有不同的影响，这种影响取决于用户的成功体验水平。我们使用面板逻辑模型和 MIUI 论坛的数据对研究模型进行了测试。研究结果表明，反馈量对想法的实施具有倒 U 形影响，这种影响受到用户过去成功的影响。此外，反馈内容的类型（成本和收益相关的反馈和功能相关的反馈）正向影响想法的实施，用户过去的成功正向调节上述影响。最后，我们讨论了理论和实践意义、我们研究的局限性以及对未来研究的建议。