Open source is developing rapidly as a mode of design and innovation in recent years. It has remarkable advantages in creative transformation of product, technical transformation, market orientation, and innovation with low cost and high customer satisfaction. In addition, open source design depends on the Internet to promote various kinds of resources agglomeration, open and sharing, enterprises can obtain more intellectual resources to improve innovation efficiency. Thus, enterprises are paying more and more attention to this type of innovation model and trying to exert more influence in the open source community. However, instability of members in the open source community make the process complex, dynamic, and uncertain. Therefore, it is important to recognize influence factors in open source design process, which can improve the design efficiency and success rate. In this paper, we have built a review framework according to OSS (open source software) evolution process model of Crowston to study on the impact factors. 

Firstly, based on Grounded theory literature review, there are 5 steps including definition, searching, selection, analysis and proposal. In this paper, we have selected references with main key words "open source" and other subordinate key words such as user motivation, license, network size, network structure, cooperation mechanism, enterprise sponsorship and so on.

Secondly, in light of the OSS evolution process model, impact factors of "input" phase and "process" phase are emphasized in this paper. We can find participants′ motivation is the core factors impacting on their continuous innovation, because motivation will impact on "behaviors"; The number of product modularization or difficulty and license restrictiveness influence the process at different phases; It is worth noting that the number of participants in open source community is not "the bigger, the better", because though more members will bring more ides or innovation resources, the coordination is more complex; In most researches, core members make most contribution in the open source community, but active members will bring vitality into community; It is worth noting that the number of free-riders is big and they never make contribution in the community; Thus, enterprises should set more reasonable and attractive strategies to make more members joining the community and keep the enthusiasm of participants for continuous innovation.

Lastly, based on the above analysis, we can find that the participant is the key factor of the open source design. However, in this process, participant is free and autonomous. They can take part in the community or select task modules freely, and they also can exit any time. Thus, we have summarized the impact factors according to participant′s behavior (join the community): Pre-stage (before) and Post-stage (after), and proposed "two-continuous" to reflect characteristics of two stages respectively. In Pre-stage, participants continue to join the community and make continuous innovation or contribution in Post-stage, which are the key elements of the success in open source design process.

Our study has reviewed the impact factors on open source design process, and we try to provide new ideas for enterprises to make better use of this innovation mode: obtain more innovation resources, improve innovation efficiency and deal with the relationship between enterprises and open source community.