Enterprise Technology Network Structure and Innovation Speed of Key Core Technologies:Based on the Combination Innovation Logic
The global landscape encompassing politics,economics,and technology is undergoing a rapid and profound restructuring,with technological competition emerging as a pivotal force in reshaping the world order and guiding future progress.Countries are vigorously pursuing technological advancements in pivotal domains to secure a competitive edge on the international stage.Amidst this intense global technology race,accelerating the pace of innovation in core technologies and quickly seizing technological opportunities have become the cornerstone strategies for countries.This article innovatively integrates pivotal structural facets like scale,agglomeration,and density within technology networks into the established framework of economic equilibrium analysis,thereby crafting a novel model for the combination innovation of key core technologies.It delves deeper into the intricate interplay and mechanisms through which the structural attributes of corporate technology networks influence the pace of innovation in these key core technologies.Concurrently,matching the Annual Survey of Industrial Enterprises data from 2000 to 2015 with corresponding patent data,the paper constructs enterprises'internal technology networks with international patent classification codes as nodes and technology combination relationships as edges.These intricate networks serve as the basis for meticulously measuring pertinent network structural indicators,which are then subjected to rigorous empirical testing.This article finds an intriguing inverted U-shaped correlation between the scale of enterprise technology networks and the velocity of innovation in key core technologies.Within a specific threshold range,the expansion of these networks fosters an acceleration in the pace of innovation for key core technologies.However,further expansion paradoxically hinders innovation speed once the network size surpasses this threshold.A mechanism analysis reveals that the scale of enterprise technology networks modulates the innovation speed of key core technologies by altering the process of combination innovation.Specifically,network expansion fosters the sustained augmentation of the combination innovation scale,as evidenced by the proliferation of network edges and their corresponding weights.Concurrently,this expansion triggers nonlinear alterations in the efficiency of combination innovation,reflected in the varying growth rates of network edges and weights.The intricate interplay between these two phenomena ultimately shapes the observed inverted U-shaped relationship between the technology network scale and the speed of innovation in key core technologies.Further in-depth research elucidates that the agglomeration level of technology networks acts as a positive moderator in the relationship between the scale of these networks and the innovation speed in key core technologies.Specifically,a higher agglomeration degree intensifies the slope of the relationship curve,advancing the emergence of the turning point.The density of technology networks exerts a negative moderating influence,flattening the relationship curve and delaying the appearance of the turning point.The research findings not only enrich our micro-level comprehension of the intricate link between technology network structures and the pace of innovation in key core technologies but also offer vital insights for enterprises seeking to integrate innovation resources,refine combination innovation models,and amplify innovation efficiency.To expedite the groundbreaking advancements in key core technologies,enterprises need to value the importance of combinations in innovation.They ought to prioritize optimizing the internal structure of innovation resources,striving for an optimal balance between R&D investments and the scale of their technology networks.Additionally,enterprises can more accurately gauge their innovation potential and scientifically devise innovation strategies tailored to their unique circumstances by taking into account the agglomeration and density of their technology networks.
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