管理评论 ›› 2024, Vol. 36 ›› Issue (8): 275-288.

• 案例研究 • 上一篇    

数字时代本土企业何以开展"基于科学的创新"?——创新能力体系及其构建路径研究

马佳1, 李天柱2, 鲁若愚3   

  1. 1. 成都信息工程大学管理学院, 成都 610103;
    2. 贵州财经大学工商管理学院, 贵阳 550025;
    3. 电子科技大学经济与管理学院, 成都 610054
  • 收稿日期:2022-04-06 发布日期:2024-09-03
  • 作者简介:马佳,成都信息工程大学管理学院副教授,硕士生导师,博士;李天柱(通讯作者),贵州财经大学工商管理学院教授,博士生导师,博士;鲁若愚,电子科技大学经济与管理学院教授,博士生导师,博士。
  • 基金资助:
    国家社会科学基金项目(21BJL265)。

How to Accomplish the Science-based Innovation in the Digital Era?—The Innovation Capability System and Its Construction Paths

Ma Jia1, Li Tianzhu2, Lu Ruoyu3   

  1. 1. School of Management, Chengdu University of Information Technology, Chengdu 610103;
    2. School of Business Administration, Guizhou University of Finance and Economics, Guiyang 550025;
    3. School of Management and Economics, University of Electronic Science & Technology of China, Chengdu 610054
  • Received:2022-04-06 Published:2024-09-03

摘要: 数字时代背景下,"数据密集型科学"成为驱动前沿科技创新的关键力量,对本土企业开展"基于科学的创新"提出了新的能力要求。本研究以37个本土企业为研究样本,采用扎根分析和定性比较分析(QCA)结合的多案例研究方法,探索本土企业在数字时代开展"基于科学的创新"的能力体系结构,以及构建能力体系的差异化路径。研究发现:(1)数据密集型科学能力、数据工程能力、科学与社会的交互能力构成了数字时代本土企业开展"基于科学的创新"的能力体系;丰富的数据资源、良好的数据基础设施、先进的数据底层技术为能力体系构建提供了资源条件。(2)本土企业在数字时代构建"基于科学的创新能力体系"根据自身特点遵循不同路径:科学型企业一般依循"科学-工程-社会"为序次的数据密集型科学驱动路径;互联网平台型企业多采用"工程-科学-社会"为序次的数据工程推动路径;研产销一体化企业常遵循"社会-科学-工程"为序次的社会应用拉动路径。研究反映出数字时代基于科学的创新领域中科学、技术、工程、应用间的交互关系,为本土企业获取"数据密集型科学研究范式"带来的创新机会,在前沿科技领域实现创新提供理论参考和管理启示。

关键词: 数字时代, 基于科学的创新, 数据密集型科学, 案例研究

Abstract: In the digital era, the data-intensive science has become a key force driving the frontier technological innovation and it requires local enterprises to have new abilities in carrying out science-based innovation. Taking 37 local enterprises as research samples, this study applies the multiple case study method combining grounded analysis and qualitative comparative analysis (QCA), to explore the structure of the science-based innovation capability system, and how to build up the capability system in the digital era in differentiated paths. The findings show that:(1) the data-intensive scientific ability, data engineering ability, and the interactive ability between science and society compose the science-based innovation capability system in the digital era; the adequate data resources, complete data infrastructures and advanced data underlying technologies provide resource conditions for the capability system construction; (2) the different types of local enterprises build up their science-based innovation capability system by different paths. The science enterprises usually follow the data intensive science-driven path in sequence of "Science-Engineering-Society". The internet platform enterprises often adopt the data engineering-driven path in sequence of "Engineering-Science-Society". The integrated enterprises of research, production, and sales normally follow the social application-driven path in sequence of "Society-Science-Engineering". This study reveals the interactive relationship among the science, technology, engineering, and application in the science-based innovation area, and provides theoretical references and management enlightenment for local enterprises to obtain the innovation opportunities brought by the data-intensive scientific research paradigm, and to carry out frontier technological innovation in the digital era.

Key words: digital era, the science-based innovation, data-intensive science, case study