ScholarWorks@성균관대학교

초록

The concept of disruptive innovation has received considerable scholarly attention, with prior research predominantly focusing on its emergence and development, whereas the diffusion of disruptive scientific knowledge remains relatively underexplored. This study addresses that gap by introducing disruption as a distinguishing dimension of knowledge and examining its effect on citation-based diffusion across cognitive distances. Drawing on theories of absorptive capacity and novelty value, we develop a regression model that evaluates the moderating role of disruption in the relationship between cognitive distance and knowledge flow. Our analysis uses 7.4 million citation-bin observations, derived from 18.3 million citation pairs sourced from SciSciNet and Microsoft Academic Graph (MAG), offering large-scale empirical evidence on the dynamics of knowledge diffusion. The results show that disruption attenuates the negative effect of cognitive distance, enabling broader diffusion across epistemic boundaries. These findings demonstrate that the effect of disruption on knowledge dissemination varies depending on cognitive conditions, underscoring the importance of science and innovation policies that take into account not just the proximity among knowledge actors but also the characteristics of the knowledge being diffused - especially when promoting the spread of transformative research.

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