Abstract: With the continuous operation of online innovation community, the conflict between the increasing user’s ideas and the limited cognitive resources of the community is more and more prominent. However, prior research related to online innovation community mainly focus on how to motivate users to contribute ideas, only a small number of scholars have studied the phenomenon of idea adoption, not clearly revealing the phenomenon of user idea adoption and still having great limitations. Firstly, most previous studies have implicitly assumed that the ideas submitted by users can be fully evaluated, which is inconsistent with the reality. Secondly, most prior studies considered the impact of individual factors on idea adoption and lack a systematic analytical framework of influencing factors for idea adoption. Further, there not be consensus on the impact of various factors on idea adoption.It is urgent to introduce a new system perspective holistically analyzing the antecedents of users’ idea adoption to fill in above gaps in prior researches.
Through the review of literatures on idea adoption and Elaboration Likelihood Model(ELM), a four-dimensional idea adoption model is constructed based on ELM, including user community status, user contribution behavior, community recognition and creative quality. The model is tested by Stata14.0 software based on more than 163,000 ideas submitted from June 2011 to February 2018 by users in New Function Recommendations section of Xiaomi MIUI Community. The results show that the user community status has a positive impact on idea adoption; user initiative contribution has a positive impact on creative adoption and response contribution behavior has no significant impact on idea adoption; the community recognition of ideas has a significant positive impact on idea adoption; creative quality includes both the idea Length and Argument have an inverted U-curve relationship with idea adoption; the community absorptive capacity positively adjusts the curvilinear relationship between idea length and idea adoption.
Based on Elaboration Likelihood Model, a four-dimensional model of community creative adoption which reveals the phenomenon of community idea adoption is constructed. The research expands the research perspective of idea adoption, broadens the application areas of detailed models and deepens the understanding of various factors on community idea adoption. Some implications are also provided for guiding users to better publish ideas and solving the cognitive load problem existing in community idea adoption process.

Key words: idea adoption, elaboration likelihood model, cognitive load, influencing factors