A new mapping of technological interdependence

How does technological interdependence affect innovation? We address this question by examining the influence of neighbors’ innovativeness and the structure of the innovators’ network on a sector’s capacity to develop new technologies. We study these two dimensions of technological interdependence by applying novel methods of text mining and network analysis to the documents of 6.5 million patents granted by the United States Patent and Trademark Office (USPTO) between 1976 and 2021. We find that, in the long run, the influence of network linkages is as important as that of neighbor innovativeness. In the short run, however, positive shocks to neighbor innovativeness yield relatively rapid effects, while the impact of shocks strengthening network linkages manifests with delay, even though lasts longer. Our analysis also highlights that patent text contains a wealth of information often not captured by traditional innovation metrics, such as patent citations. • Technological interdependence driven by neighbor innovativeness & network structure. • Technological interdependence measured by patent text similarity and citations. • Both dimensions of technological interdependence matter for sector innovation. • Innovation response to shocks on tech interdependence has different timing.

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Publication Details

Journal
Research Policy
Published
2024-09-16
DOI
https://doi.org/10.1016/j.respol.2024.105126
Citations
16
Primary Topic
Economic and Technological Innovation
Type
article
Field-Weighted Citation Impact
18.07
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article

A new mapping of technological interdependence

Andrea Fronzetti Colladon, Barbara Guardabascio, Francesco Venturini
16 citations
Research Policy
Economic and Technological Innovation
18.07
article

A new mapping of technological interdependence

Andrea Fronzetti Colladon, Barbara Guardabascio, Francesco Venturini
article en
16 citations

Abstract

How does technological interdependence affect innovation? We address this question by examining the influence of neighbors’ innovativeness and the structure of the innovators’ network on a sector’s capacity to develop new technologies. We study these two dimensions of technological interdependence by applying novel methods of text mining and network analysis to the documents of 6.5 million patents granted by the United States Patent and Trademark Office (USPTO) between 1976 and 2021. We find that, in the long run, the influence of network linkages is as important as that of neighbor innovativeness. In the short run, however, positive shocks to neighbor innovativeness yield relatively rapid effects, while the impact of shocks strengthening network linkages manifests with delay, even though lasts longer. Our analysis also highlights that patent text contains a wealth of information often not captured by traditional innovation metrics, such as patent citations. • Technological interdependence driven by neighbor innovativeness & network structure. • Technological interdependence measured by patent text similarity and citations. • Both dimensions of technological interdependence matter for sector innovation. • Innovation response to shocks on tech interdependence has different timing.

Research PolicyVol. 54(1)
University of Urbino (IT), University of Perugia (IT), Swedish Entrepreneurship Forum (SE), Institute of Forest Productivity (IN), National Institute of Economic and Social Research (GB)
Openalex Percentile: Top 1%
Economic and Technological Innovation
18.07
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A new mapping of technological interdependence — Andrea Fronzetti Colladon, Barbara Guardabascio, et al. · Research Policy (2024) | TGRS Research Map | TGRS