科研管理

科研管理 ›› 2018, Vol. 39 ›› Issue (12): 1-9.

• 论文 •    下一篇

大数据时代企业创新管理变革的分析框架

丁雪辰,柳卸林   

  1.  中国科学院大学经济管理学院
  • 收稿日期:2018-07-19 修回日期:2018-10-01 出版日期:2018-12-20 发布日期:2018-12-21
  • 通讯作者: 柳卸林
  • 基金资助:
    国家自然科学基金项目：“互联网时代企业用户融合创新理论与方法研究”（项目号：71872170，2019.01.01-2022.12.31）。

The analytical framework for enterprise innovation management and transformation in the big data era

Ding Xuechen, Liu Xielin   

  1. School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China
  • Received:2018-07-19 Revised:2018-10-01 Online:2018-12-20 Published:2018-12-21

摘要： 信息技术的发展使企业从多个源头捕获海量数据成为可能，大数据作为新型资产是企业获得竞争优势的重要元素。目前学术界对于大数据如何影响现有的创新管理理论和企业的创新管理实践并未做系统性论述。本文通过文献回顾和案例分析，结合大数据的特征，从大数据对企业创新模式、创新参与主体、创新战略以及创新组织四个方面分别进行探讨，认为大数据背景下企业创新管理将呈现迭代创新、平台战略、海量用户参与的趋势。文章提出了大数据对创新管理范式影响的概念框架，为大数据时代的企业创新实践提供思路与借鉴。

关键词: 大数据, 迭代创新, 融合创新, 平台战略

Abstract: The development of information technology makes it possible for enterprises to capture large amounts of data from multiple sources. As a new capital, Big Data is an important element for enterprise to gain competitive advantage. There is limited systematic discussion on how big data affects the existing innovation management theory and enterprise's innovation management practice. Combining literature review and case study with the characteristics of big data, this paper puts forward the conceptual framework of the influence of big data on innovation management paradigm from the pattern of innovation, participants of innovation process, innovation strategy and innovation organization. The results showed that the innovation management will have a tendency of iterative innovation, platform strategy and user participation, which provides the thinking and reference for enterprise innovation practice in Big Data era.

Key words:  big data, iterative innovation, integrated innovation, platform strategy