Tracking direct and indirect impact on technology and policy of transformative research via ego citation network
Article Category: Research Papers
Publicado en línea: 17 jul 2024
Páginas: -
Recibido: 20 mar 2024
Aceptado: 14 jun 2024
DOI: https://doi.org/10.2478/jdis-2024-0018
Palabras clave
© 2024 Xian Li et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Purpose
The disseminating of academic knowledge to nonacademic audiences partly relies on the transition of subsequent citing papers. This study aims to investigate direct and indirect impact on technology and policy originating from transformative research based on ego citation network.
Design/methodology/approach
Key Nobel Prize-winning publications (NPs) in fields of gene engineering and astrophysics are regarded as a proxy for transformative research. In this contribution, we introduce a network-structural indicator of citing patents to measure technological impact of a target article and use policy citations as a preliminary tool for policy impact.
Findings
The results show that the impact on technology and policy of NPs are higher than that of their subsequent citation generations in gene engineering but not in astrophysics.
Research limitations
The selection of Nobel Prizes is not balanced and the database used in this study,
Practical implications
Our findings provide useful clues to better understand the characteristics of transformative research in technological and policy impact.
Originality/value
This study proposes a new framework to explore the direct and indirect impact on technology and policy originating from transformative research.