This paper reports on the first attempt on the relationship among crowdsourcing platform environment，solver’ s motivation and solver’ s successful rate． To this aim，we use http: / /www． 680． com to run data collected from solvers in its platform with a 7 minutes Survey． We use Multiple Ｒegression and Binary Logistic Ｒegression to analysis data and discuss the results． In this paper，we analyse five platform environments that are reliability， creativeness，communication among solvers，study behavior among solvers，recommendation and four motivations that are external motivation，entertainment motivation，recognition motivation and belonging motivation． The result indicates through recognition motivation and belonging motivation，platform environment has a significant influence on solver’ s succeeding rate.
|Translated title of the contribution||Analyzing Environment and Successful Rate of Function Mechanisms for Crowdsourcing Platforms|
|Journal||Studies in Science of Science|
|Number of pages||9|
|Publication status||Published - 2016|
- Open innovation
- Platform environment
- Succeeding rate