XYB-DS-202002 互联网群智协同创新环境下有效用户知识贡献行为演化及其驱动模式研究

发布时间：2020-07-25

摘要：群智协同创新是对开放创新的一种发展，其核心在于企业掌控创新进程，根据项目需求聚集广泛的参与者（群体智能）作为创新源，通过引导-协作的方式高效解决设计难题。基于群智思想构建的互联网社区即群智协同创新社区，目前围绕此类创新环境的研究相对匮乏，特 别是针对创新参与者角色类型、行为发展规律及影响因素等创新/设计辅助理论的研究尚处于初始状态。对于这一现状，本课题将对此类社区参与主体创新行为展开研究，归纳社区的基本功能与特征，探索完整创新项目中参与者知识贡献行为特点及演化规律；构建参与者交 互关系网络，研究面向创新用户聚类的最优化方法，分析用户能力特征，结合用户行为演化 规律完成对参与者角色的定义，形成参与主体细分模型；研究面向不同类型有效参与者的评 价体系及识别方法；研究不同角色用户创新知识贡献行为影响因素及驱动-激励措施。研究工作将会丰富和拓展开放式创新研究的理论范畴，为企业有效管理社区、开展创新活动提供参考与指导。

Crowd intelligence collaborative innovation is a development of open innovation. Its main idea is that the whole innovation process is controlled by the enterprise which may gather a large member of participants (i.e., crowd intelligence) as sources of innovation based on project requirements; the attendees can efficiently solve the design problems by the way of guidance-collaboration in the process. The community of crowd intelligence collaborative innovation is a new type of open innovation community. Since such kind of community is still in its infancy, little work has been done heretofore to explore its characteristic and operation mechanism. In particular, no empirical research has specifically analyzed the user roles, the evolution and driving factors of participants’ innovation behavior. Therefore, to fill the gap, this research aims to probe the users’ participation behavior in the context of crowd intelligence collaborative innovation community. Research issues are as follows: explore the functions and characteristics of such community, and analyze the evolution rule of users’ contribution behavior in innovation projects; establish user relationship networks, probe the optimization methods of user clustering, analyze users’ ability characteristics, and then, define user roles based on the evolution rules and construct user segmentation model; build the evaluation system of participants, explore the identify methods towards different roles of users; probe the factors which influence the development of users’ participation behavior in innovation projects, and explore the incentive methods to stimulate the users’ initiative. This research develops and extends open innovation theories, and offers references and guidance towards community and innovation activity management.

关键词：群智协同创新社区；贡献贡献行为演化建模；参与者细分；有效用户识别；创新行为分析

community of crowd intelligence collaborative innovation; evolution modeling of contribution behavior; participant segmentation ; valid user identification; analysis of innovation behavior