• 中国科学学与科技政策研究会
  • 中国科学院科技政策与管理科学研究所
  • 清华大学科学技术与社会研究中心
ISSN 1003-2053 CN 11-1805/G3

科学学研究 ›› 2016, Vol. 34 ›› Issue (7): 1086-1095.

• 技术创新与制度创新 • 上一篇    下一篇

众创式创新:源起、归因解析与认知性框架

赵坤1,郭东强2   

  1. 1. 华侨大学
    2. 福建华侨大学
  • 收稿日期:2016-01-04 修回日期:2016-03-24 出版日期:2016-07-15 发布日期:2016-07-22
  • 通讯作者: 赵坤
  • 基金资助:

    国家社会科学基金资助项目

Crowd innovation: the origins, attribution analysis and cognitive framework

  • Received:2016-01-04 Revised:2016-03-24 Online:2016-07-15 Published:2016-07-22

摘要: 作为开放式创新范式中的研究路径之一,用户参与创新主要研究企业如何在开发新知识或新创意时与用户进行合作。随着国家战略与政策实施将大众创新驱动作为研究与实践的基本导向,创新管理演进系统进入创新2.0、创业民主化的大众创新模式时代。国内外的苹果、P&G、默克、海尔、腾讯等,越来越多的组织以众创模式帮助解决企业最棘手的创新及问题研究。本文先以Web of Knowledge的SSCI数据库为数据来源,进行众创式创新相关主题搜索,通过文献的阅读与梳理,系统归纳了众创式创新的源起、内涵与归因,然后以众创式创新的本质——知识创新为起点与核心,延伸到知识识别、知识创造与知识转化三个维度,建立关于众创式创新的认知性框架,并结合P&G和海尔的众创实践予以论证。使我们对众创式创新有一个系统性认识,为进一步的理论创新与实证研究奠定了基础。

Abstract: As one of the research path of open innovation paradigm, user participation innovation is mainly studies how enterprises cooperation with users in the development of new knowledge or new ideas. With the implementation of national strategies and policies, the mass innovation has become a basic guide of research and practice, and innovative management system enters into the evolution of innovation 2.0, the era of mass innovation democratization. Apple, P & G, Merck, Haier, Tencent, etc., there are more and more organizations use crowd model to solve the toughest research problems of innovation. This article firstly based Web of Knowledge of SSCI database data sources, conduct search crowd innovation related topics. By reading and combing through documents, the article summarizes the origins of crowd innovation, meaning and attribution, then the crowd innovation - the essence of knowledge innovation as the starting point and the core, extending to the knowledge identification, knowledge creation and knowledge transfer, three dimensions to establish the cognitive framework of crowd innovation, and compare the crowd innovation practice between P & G and Haier. This make us have a systematic understanding of the crowd innovation, laying the foundation for further innovation and empirical studies.