东北大学学报(社会科学版) ›› 2024, Vol. 26 ›› Issue (4): 52-64.DOI: 10.15936/j.cnki.1008-3758.2024.04.007

• 经济与管理研究 • 上一篇    下一篇

多主体合作如何实现高数字创新绩效?——基于数字创新生态系统视角的组态研究

刘经涛,宁连举,高琦芳   

  1. (北京邮电大学经济管理学院,北京100876)
  • 发布日期:2024-09-03
  • 通讯作者: 刘经涛
  • 作者简介:刘经涛(1995-),男,安徽合肥人,北京邮电大学博士研究生,主要从事数字创新生态系统研究;宁连举(1971-),男,黑龙江齐齐哈尔人,北京邮电大学教授,博士生导师,主要从事数字化战略与生态创新研究;高琦芳(1997-),女,山西吕梁人,北京邮电大学博士研究生,主要从事数字化创新研究。
  • 基金资助:
    国家重点研发计划资助项目(2021YFF0901700)。

How Can Multi-agent Collaboration Achieve High Digital Innovation Performance? A Configuration Study Based on the Perspective of Digital Innovation Ecosystem

LIU Jingtao, NING Lianju, GAO Qifang   

  1. (School of Economics and Management, Beijing University of Posts & Telecommunications, Beijing 100876, China)
  • Published:2024-09-03
  • Contact: -
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摘要: 基于数字创新生态系统视角,运用模糊集定性比较分析(fsQCA)方法探究多主体合作模式如何实现高数字创新绩效的组态路径。研究发现:在数字创新生态系统中,不存在实现高数字创新绩效的必要条件,五种要素的合作组合形成了实现高数字创新绩效的多样化组态;存在四条具有“殊途同归”特征的实现高数字创新绩效的组态路径,包括“政府辅助下的高校及科研机构与数字用户双元驱动型”“合作企业、数字用户和政府三元驱动型”“数字用户辅助下的合作企业与融资中介机构双元驱动型”“高校及科研机构主导下的政府与融资中介机构双元驱动型”以及一条实现非高数字创新绩效的组态路径;实现高数字创新绩效的组态路径存在企业性质视角的差异性。

关键词: 多主体合作; 数字创新绩效; 数字创新生态系统; 数字创新企业

Abstract: From the perspective of the digital innovation ecosystem, the fuzzy set qualitative comparative analysis (fsQCA) method is used in the study to explore the configuration path of how the multi-agent collaboration model can achieve high digital innovation performance. It is found that in the digital innovation ecosystem, there are no prerequisite conditions for achieving high digital innovation performance. Instead, a diverse configuration emerges from the collaborative combination of five elements. There are four distinct configuration paths with the characteristic of “different paths leading to the same goal” for achieving high digital innovation performance, including a “dual-driven model with universities and scientific research institutions assisted by the government and digital users”, a “triple-driven model encompassing collaborative enterprises, digital users and government”, a “dual-driven model centered on collaborative enterprises and financing intermediaries with assistance from digital users” and a “dual-driven model led by the government and financing intermediaries with universities and scientific research institutions at the helm”, as well as a configuration path for achieving non-high digital innovation performance. There are differences in the nature of enterprises in the configuration path for achieving high digital innovation performance.

Key words: multi-agent collaboration; digital innovation performance; digital innovation ecosystem; digital innovation enterprise

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