数字化情境下制造企业创新绩效提升的前因组态研究

Research on Effective Antecedent Configuration of Manufacturing Enterprise Innovation Performance in Digital Environment

摘要: 数字技术的日新月异，促使企业纷纷进行数字化转型，创新商业模式，以期不断提升创新绩效。现有研究多聚焦于单一视角对企业创新绩效的影响，鲜少关注到数字技术扩散、数字化能力、商业模式创新三者的匹配关系对企业创新绩效的影响。因此，本文基于数字技术扩散、数字化能力、商业模式创新，以技术–能力–模式协同联动的视角，以40家制造业企业作为研究对象，采用模糊组态分析(fsQCA)方法，探究组态匹配路径对企业创新绩效的影响机制。研究发现：1) 企业创新绩效产生不是由单一因素驱动的，而是多种因素共同作用的；2) 数字化能力是企业提升创新绩效的关键因素；3) 在数字化能力协同作用下，数字技术扩散与商业模式创新相匹配对提升企业创新绩效能够发挥更大的效应；4) 价值获取、数字环境与数字化资源在企业创新绩效中发挥着重要作用。本文分析数字技术扩散、商业模式创新与数字化能力的有效组态路径，试图阐明多种因素共同作用对企业创新绩效的影响机理；为企业制定科学有效的决策和政府制定企业数字化政策体系提供经验证据和决策支持。

Abstract: The rapid development of digital technology prompts enterprises to carry out digital transformation and innovate business models in order to continuously improve innovation performance. Existing studies mostly concentrates on the influence of a single viewpoint on enterprise innovation performance, and seldom pay attention to the impact of the matching relationship between digital technology diffusion, digital capability and business model innovation on enterprise innovation performance. Therefore, based on digital technology diffusion, digital capability and business model innovation, this thesis regards 40 manufacturing enterprises as objects, from the standpoint of technology-capability-model synergy, and adopts fuzzy configuration analysis (fsQCA) method to explore the configuration matching path effect on the performance of enterprise innovation mechanism. The findings are as follows: 1) enterprise innovation performance is not driven by a single factor, but by a combination of multiple factors; 2) Digital capability is the key factor to improve enterprise innovation performance; 3) Under the synergistic effect of digital capability, the matching of digital technology diffusion and business model innovation can play a greater role in improving enterprise innovation performance; 4) Value acquisition, digital environment and digital resources play an important role in enterprise innovation performance. This paper analyzes the effective configuration path of digital technology diffusion, business model innovation and digital capability, and attempts to clarify the influence mechanism of multiple factors on enterprise innovation performance. It provides empirical evidence and decision support for enterprises to make scientific and effective decisions and government to make enterprise digital policy system.