Studies in Science of Science ›› 2025, Vol. 43 ›› Issue (8): 1676-1686.

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Digital innovation resilience: Concepts, measurements, and evolutionary pattern recognition ——Based on the analysis of listed manufacturing enterprises in China

  

  • Received:2024-07-08 Revised:2024-12-27 Online:2025-08-15 Published:2025-08-15

数字创新韧性:概念、测量与演化模式识别———基于中国制造业上市企业的分析

廖杨月1,余传鹏2,林春培3   

  1. 1. 华南理工大学旅游管理系
    2. 华南理工大学
    3. 华侨大学工商管理学院;
  • 通讯作者: 余传鹏
  • 基金资助:
    制造业企业数字化转型的“动因-行动-效果”理论逻辑研究;制造企业数字化转型的过程机理研究

Abstract: Under the background of the accelerating evolution of the once-in-a-century changes, the increasingly frequent adversity events and the unpredictable business environment have posed great challenges and threats to the digital innovation practice of enterprises. In order to effectively resist the uncertainty and disruptive impact from the outside world, many enterprises have shaped the ability to flexibly cope with decline crises in the process of digital innovation and recover, develop and evolve rapidly from the risk of failure. This paper proposes the concept of digital innovation resilience to represent this phenomenon. On this basis, clarifying the specific connotation of digital innovation resilience, and clarifying the measurement method and evolution model of digital innovation resilience are the internal requirements for building a self-reliant digital innovation system and realizing the goal of Chinese-style modernization. Firstly, the paper starts with organizational resilience, and on the basis of revealing the connotation of innovation resilience, it extends the concept of digital innovation resilience and points out the basic characteristics of it. Secondly, the time series data of digital technology patent application is used to replace the immediate response of digital innovation to external shocks, and the core variable method is used to measure enterprises’ digital innovation resilience. Finally, statistical indicators were extracted and dimensionality was reduced for the time series data of enterprise digital innovation resilience by using time series feature engineering. In combination with K-means clustering algorithm, enterprises with similar evolutionary trends of digital innovation resilience during the sample period were divided into groups, so as to identify four evolution modes: random oscillating type, weak growth type, late catch-up type and core leading type. The above research can not only provide a scientific basis for correctly evaluating the level of enterprises' digital innovation resilience, but also provide useful inspiration for the academic community to explore the differentiated improvement path of enterprises' digital innovation resilience based on different types of evolution models.

摘要: 在百年未有之大变局加速演进背景下,愈加频发的逆境事件以及变幻莫测的经营环境使得企业数字创新实践面临极大挑战和威胁。为有效抵抗外界不确定性和颠覆性冲击,许多企业在数字创新过程中塑造弹性应对衰落危机的能力并从失败风险中快速恢复、发展和进化,本文提出数字创新韧性用以表征这一现象。在此基础上,厘清数字创新韧性的具体内涵,明确数字创新韧性的测度方式以及演化模式,是构筑自立自强数字创新体系与实现中国式现代化目标的内在要求。文章首先从组织韧性切入,在揭示创新韧性内涵的基础上引申出数字创新韧性这一概念;其次,以数字技术专利申请时序数据替代数字创新对外界冲击的即时响应,使用核心变量法对企业数字创新韧性进行测度;最后,借助时间序列特征工程对企业数字创新韧性时序数据进行统计指标提取以降维,并结合K-means聚类算法将样本期内数字创新韧性演化趋势相似的企业进行群组划分,从而识别出随机振荡型、增长乏力型、后发追赶型和核心引领型四种演化模式。上述研究既能为正确评估企业数字创新韧性水平提供学理依据,还能为学界依据不同类型演进模式探索企业数字创新韧性差异化提升路径提供有益启示。