科研管理 ›› 2024, Vol. 45 ›› Issue (1): 143-152.DOI: 10.19571/j.cnki.1000-2995.2024.01.014

• 论文 • 上一篇    下一篇

创新能力异变事件对企业专利质量的影响路径

陈力田1,2,常欣冉1,吴蕊1   

  1. 1.浙江工商大学工商管理学院(MBA学院),浙江 杭州310018;
    2.浙江工商大学数字创新与全球价值链升级研究中心,浙江 杭州310018

  • 收稿日期:2022-05-13 修回日期:2023-07-14 出版日期:2024-01-20 发布日期:2024-01-02
  • 通讯作者: 陈力田
  • 基金资助:
    浙江省哲学社会科学规划课题:“创新战略转型期浙江企业专利质量提升策略研究——政府和市场协同驱动”(20NDJC099YB,2020.01—2022.09);国家自然科学基金面上项目:“价值认知激活、企业创新能力异变与高质量创新效率:基于‘柔性-效率’均衡视角”(71972170,2020.01—2023.12);中国工程院院地合作项目中国工程科技战略重庆研究院咨询项目:“提升重庆市工程科技创新能力战略研究”(2022.03—2023.03);浙江省哲学社会科学重点培育研究基地浙江工商大学数字创新与全球价值链升级研究中心自设课题(SQP2023-003);国家社会科学基金重大项目:“中国深度参与全球创新链治理的机制、路径与政策研究”(20&ZD124,2020.11—2025.12)。

Research on the influence path of innovation capability variation events on patent quality of enterprises

Chen Litian1,2, Chang Xinran1, Wu Rui1   

  1. 1.School of Business Administration (MBA School), Zhejiang Gongshang University, Hangzhou 310018, Zhejiang, China;
    2. Research Centre for Digital Innovation and Global Value Chain Upgrading,Zhejiang Gongshang University, Hangzhou 310018, Zhejiang, China
  • Received:2022-05-13 Revised:2023-07-14 Online:2024-01-20 Published:2024-01-02

摘要:      专利质量导向下企业创新能力异变存在“柔性-效率”基本矛盾。秉承时机选择和惯例破坏视角,采用模糊集质性比较分析法(fsQCA),基于2011—2017年间创业板上市公司的115个创新能力异变事件样本,研究了难以预测环境、价值认知和创新能力异变的细分特征对企业专利质量的影响路径,并结合案例进行了阐述。结果发现:(1)单因素不构成影响专利质量的必要条件,专利质量高低取决于多项因素组成的复杂组态;(2)仅存在一条有效路径引发高质量专利,即路径I“难以预测程度高且比例低的环境-复杂且聚焦的价值认知-高幅低速的创新能力异变”;(3)存在四条路径引发低质量专利,路径Ⅱ、Ⅲ、Ⅴ所对应的“难以预测程度高或比例高的环境-松散或简单的价值认知-低辐或高速的创新能力异变”以及路径Ⅳ所对应的“难以预测程度低且比例低的环境-聚焦且简单的价值认知-高幅的创新能力异变”;(4)影响专利质量的原因具有典型的非对称性。结合价值认知和难以预测环境因素,基于组态配置视角探究企业创新能力异变事件对专利质量的影响路径,在突破二元创新理论隐含的认知资源和信息完备前提的情境中深化了从利用式到探索式创新转变机理的研究,对二元创新理论具一定贡献,亦有助企业创新价值实现。

关键词: 企业专利质量, 创新能力异变, 难以预测环境, 价值认知激活

Abstract:    Under the guidance of patent quality, there exists the basic contradiction between flexibility and efficiency. Adhering to the perspective of timing selection and inertia breakthrough, using the fuzzy set qualitative comparative analysis method (fsQCA), and based on 115 samples of innovation capability variation eventsin the GEM listed companies from 2011 to 2017, this paper studied the impact path of such subdivision characteristics as unpredictable environment, value cognition and innovation capability variation on the enterprise patent quality, and illustrated it with cases. The results showed that: (1) a single factor does not constitute a necessary condition to affect patent quality, and the level of patent quality depends on the complex configuration of multiple factors; (2) There is only one effective path to trigger high-quality patents, that is, Path I:“environment with high degree and low proportion of unpredictability - complex and focused value cognition - high amplitude and low speed innovation capability variation”; (3) There are four paths that lead to low-quality patents: the “environment with high degree or high proportion of unpredictability - loose or simple value cognition - low amplitude or high speed innovation capability variation” corresponding to Paths II, III and V and the “environment with low degree and low proportion of unpredictability - focused and simple value cognition - high amplitude innovation capability variation” corresponding to Path IV; (4) The reasons that affect patent quality have typical asymmetry. Combining the two internal and external factors of cognition and environment, and based on the perspective of configuration, this paper explored the impact path of enterprise innovation capability variation on patent quality, and deepens the research on the transformation mechanism of innovation ambidexterity from exploitation to exploration in the context of breaking through the cognitive resources and the premise of complete information implied in the innovation ambidexterity theory, which contributes to the innovation ambidexterity theory to some extent, and also helps enterprises realize their innovation value.The innovation points of the paper are mainly reflected in the following aspects: First, in view of the lack of research on the impact of innovation capability variation amplitude and speed on patent quality in existing research, this paper, based on China′s national conditions, decomposed innovation capability variation events into two dimensions: amplitude and speed, and then analyzed their impact on patent quality. As previous research focused on how enterprises carry out exploratory and exploitative R&D through external cooperation, knowledge absorption, and R&D organizational structure design, this paper further clarified the connotation of enterprise innovation capability variation under the guidance of patent quality in a complex and dynamic environment, filled the research gap of innovation ambidexterity theory, and helped to balance the “flexibility efficiency” debate. Second, in view of the controversial research gap in the impact of unpredictable environment on enterprise patent quality in the innovation capability variation events, the external motivating situation for the effectiveness of innovation capability variation events under the guidance of enterprise patent quality was identified, which deepened and enriched the research on enterprise patent quality. From the overall perspective of unpredictable environment, relevant research cannot accurately grasp the uncertainty caused by the improvement of patent quality and enterprise value. Therefore, this paper, based on the perspective of capacity value contingency and China′s national conditions, subdivided it into two characteristics: degree and proportion, based on which to explore the complex mechanism behind enterprise patent quality. Compared with previous studies that considered environmental change as having a positive or negative impact on the quality of enterprise patents, the paper further found out that it is difficult to predict that a single environmental factor does not constitute a necessary condition that affects the quality of enterprise patents, which depends on the complex combination of multiple factors, expanding the relevant research. Third, in view of the existing research, there is no impact of the matching pattern between value cognition and unpredictable environmental characteristics on patent quality in the event of innovation capability variation, the internal and external contingency factors that affect the relationship between innovation capability variation events and patent quality are included in the research framework. Compared with a single study of environmental factors or cognitive factors, this paper studied the impact of multi-dimensional characteristics on patent quality from the perspective of amplitude and speed of innovation capability variation, the complexity and focus of value cognition, and the degree and proportion of unpredictable environment. 

Key words: enterprise patent quality, innovation capability variation, unpredictable environment, value cognition activation