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How data elements power disruptive innovation? Evidence of the coupling coordination of technology elements
He Yubing, Xu Meijuan, Chen Hongfei, Zhao Xiaohui
Science Research Management ›› 2026, Vol. 47 ›› Issue (10) : 62-73.
PDF(1423 KB)
PDF(1423 KB)
How data elements power disruptive innovation? Evidence of the coupling coordination of technology elements
In the wave of digital economy, the coupling and coordination of data and technology elements have become a key driver of enterprises' disruptive innovation. From the perspective of knowledge foundations, using patent knowledge width and talent knowledge transfer degree as mediating variables, and intellectual property protection as a moderating variable, this study combined data from China's energy storage listed enterprises (2012-2021) and employed a panel negative binomial model to explore the nonlinear relationship between the coupling coordination of regional data and technology elements and disruptive innovation. The findings revealed that:Firstly, the non-rivalrous and increasing returns to scale characteristics of data elements endow their coupling coordination with technology elements with dual attributes of resource allocation and incentive constraints, leading to an inverted U-shaped impact on disruptive innovation. Secondly, enterprises transform external innovation resources derived from element coordination into internal resources through knowledge management capabilities, including patent knowledge width and talent knowledge transfer degree, which subsequently influence disruptive innovation. This finding validated the "element coordination-knowledge management-innovation disruption" transmission mechanism. Thirdly, an increased level of intellectual property protection may trigger conflicts over property rights allocation and reinforce path dependence, thereby progressively weakening the relationship between element coordination and disruptive innovation. The findings will provide theoretical support for enterprises to implement data-driven disruptive innovation practices, and have implications for science and technology policy making.
disruptive innovation / data elements / technology elements / coupling coordination model
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Based on the framework of innovation adoption, this study proposes a method for identifying disruptive technology that simultaneously satisfies the internal and external characteristics of innovation to identify potential disruptive technologies from the relative nature of innovation. First, Bertopic theme model and patent text information mining techniques are used in stages to obtain new technology functions and discontinuous technology standards respectively, in order to extract the internal characteristics of innovation of disruptive technologies; Second, the CD index, a measure of disruption, is used to extract the external characteristics of innovation in disruptive technologies; Third, the disruptive technologies that simultaneously satisfy the internal and external characteristics of an innovation are identified and classified into new market, low-end and high-end disruptive technologies as well. Finally, taking patents in the field of energy storage as an example, we verify the feasibility and effectiveness of the disruptive technology identification method in this paper. The identification method in this paper is able to match the definition of disruptive technology with its identification, express the interaction between technological innovation and market adoption, and distinguish different types of disruptive technologies. This identification method could provide a reference for enterprises to determine whether a new technology has a disruptive impact.
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