Empirical Evidence of Idea Generation in Open Innovation Community

Organizations need to develop effective engagement strategies to engage individuals to contribute and sustain their involvement with innovative ideas. We investigate how feedback can encourage and promote more ideas by considering the source and valence of in-process feedback, user characteristics, and the moderating effect of the aforementioned variables. Our model is tested using a panel linear model and data from the MIUI Forum. We discovered that individuals who received unfavorable peer evaluation reduced subsequent idea generation, with the effect lessening as ideators gained success experience. Whereas receiving positive peer feedback cannot stimulate users’ ideation. Experienced contributors are more motivated (less demotivated) to come up with ideas after receiving positive feedback (negative feedback) from firms. We complement extant research related to feedback by investigating its synergetic effects on ideation and exploring which feedback is more important and their boundary conditions.