Now showing 1 - 2 of 2
  • Publication
    Regional Knowledge Spaces: The Interplay of Entry-Relatedness and Entry-Potential for Technological Change and Growth
    (University College Dublin. Spatial Dynamics Lab, 2021-09-20) ; ; ;
    This paper aims to uncover the mechanism of how the network properties of regional knowledge spaces contribute to technological change from the perspective of regional knowledge entry-relatedness and regional knowledge entry-potential. Entry-relatedness, which has been previously employed to investigate the technology evolution of regional economies, is advanced by introducing a knowledge gravity model. The entry-potential of a newly acquired regional specialisation has been largely ignored in the relevant literature; surprisingly given the high relevance that is attributed to the recombination potential of new capabilities. In other words, just adding new knowledge domains to a system is not sufficient alone, it really depends on how these fit into the existing system and thus can generate wider economic benefits. Based on an empirical analysis of EU Metro and non-Metro regions from 1981 to 2015, we find that entry-relatedness has a significant negative association with novel inventive activities, while entry-potential has a significant positive association with the development of novel products and processes of economic value. This highlights that regions’ capacity to venture into high-potential areas of technological specialization in the knowledge space outperforms purely relatedness driven diversification that is frequently promoted in the relevant literature.
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  • Publication
    Capturing Information on Technology Convergence, International Collaboration, and Knowledge Flow from Patent Document: A Case of Information and Communication Technology
    (University College Dublin. Spatial Dynamics Lab, 2018-09-01) ; ;
    Recent advances in data-driven research approaches offer new and exciting perspectives and insights across a spectrum scientific fields concerned with technological change and the socio-economic impact thereof, while also providing the opportunity to address persistent gaps in existing theories. The present investigation suggests a novel approach to identify and analyse the evolution of technology sectors, in this case Information and Communications Technology (ICT), considering international collaboration patterns and knowledge flows and spillovers via information inputs derived from patent documents. The objective is to utilize and explore information regarding inventors’ geo-location, technology sector classifications, and patent citation records to construct various types of networks. This, in turn, will open up avenues to discover the nature of evolutionary pathways in ICT technology trajectories, and also provide evidence of how the overall ICT knowledge space, as well as directional knowledge flows within the ICT space, evolved differently. It is expected that this data-driven inquiry will deliver intuitive results for decision makers seeking evidence for future resource allocation and who are interested in identifying well-suited collaborators for the development of potential next-generation technologies. Further, it will equip researchers in technology management, economic geography, or similar fields with a systematic approach to analyse evolutionary pathways of technological advancements and further enable them to exploit existing and develop new theories regarding technological change and its socio-economic consequences.
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