Abstract: Crowdsourcing has recently gained a lot of attention as a tool for knowledge acquisition. With the rapid and huge development of crowdsourcing platform, more and more research will focus on not only the scale of crowdsourcing but also the efficiency and the effective of crowdsourcing. 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 analysis five platform environments that are reliability,creative, 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 successful rate.

摘要： 随着众包模式越来越多地作为企业或个人获取外部知识的有效途径，众包发展过程中展现出来的巨大活力和随之而来的问题也逐渐纳入学术研究范畴，众包在规模发展的同时，更需要对其运行效果进行深入的探讨，从而为产业界提供有效的支持和指导。本文基于国内网络创新众包平台时间财富网515份问卷调查的数据，采用多元回归最小二乘法和二元logistic回归方法，将网络创新平台环境分为五个维度进行考量，并引入动机这一中介变量即外部动机、娱乐动机、认可动机和归属动机，对平台环境和动机的内在关联以及其对接包方中标率的影响关系首次做了尝试性研究。结果显示，平台的信任环境、新颖性和接包方之间的沟通交流学习行为对接包方的认可动机和归属动机有正面影响，能够提高接包方中标率。