Strategic Intelligence on Emerging Technologies: Scientometric Overlay Mapping

arXiv:1303.4672

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PID https://www.doi.org/10.6084/m9.figshare.1502660
PID https://www.doi.org/10.1002/asi.23631
PID arXiv:1303.4672
PID handle:11245.1/f14b0483-6b6b-4622-b85a-8fea78368ac8
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PID handle:10261/161749
URL https://dblp.uni-trier.de/db/journals/jasis/jasis68.html#RotoloRHL17
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Access Right Open Access
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Author Daniele Rotolo, 0000-0001-8077-9840
Author Ismael Ràfols, 0000-0002-6527-7778
Contributor Universitat Politècnica de València. Instituto de Gestión de la Innovación y del Conocimiento - Institut de Gestió de la Innovació i del Coneixement
Contributor ASCoR Other Research (FMG)
Contributor Economic and Social Research Council (UK)
Contributor National Science Foundation (US)
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Collected From Digital.CSIC; RiuNet; ORCID; Datacite; figshare; UnpayWall; arXiv.org e-Print Archive; NARCIS; Crossref; Microsoft Academic Graph; CORE (RIOXX-UK Aggregator)
Hosted By Universiteit van Amsterdam Digital Academic Repository; Digital.CSIC; RiuNet; Sussex Research Online; figshare; arXiv.org e-Print Archive; NARCIS; Journal of the Association for Information Science and Technology
Publication Date 2015-01-01
Publisher figshare
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Country Netherlands; United Kingdom; Spain
Description This paper examines the use of scientometric overlay mapping as a tool of “strategic intelligence” to aid the governing of emerging technologies. We develop an integrative synthesis of different overlay mapping techniques and associated perspectives on technological emergence across geographical, social, and cognitive spaces. To do so, we longitudinally analyze (with publication and patent data) three case studies of emerging technologies in the medical domain. These are RNA interference (RNAi), human papillomavirus (HPV) testing technologies for cervical cancer, and thiopurine methyltransferase (TPMT) genetic testing. Given the flexibility (i.e., adaptability to different sources of data) and granularity (i.e., applicability across multiple levels of data aggregation) of overlay mapping techniques, we argue that these techniques can favor the integration and comparison of results from different contexts and cases, thus potentially functioning as a platform for “distributed” strategic intelligence for analysts and decision makers.
Description The authors acknowledge the support of the UK Economic and Social Research Council (award RES-360-25-0076—“Mapping the Dynamics of Emergent Technologies”) in the development of the case studies. The authors also thank the US National Science Foundation (award #1064146—“Revealing Innovation Pathways: Hybrid Science Maps for Technology Assessment and Foresight”) for support in the development of the mapping techniques.
Description Peer Reviewed
Format application/pdf
Language UNKNOWN
Resource Type Other literature type; Preprint; Article
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Source https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::49813fc234a36e8acb2dcc2c0e59ceef
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Last Updated 25 December 2020, 23:40 (CET)
Created 25 December 2020, 23:40 (CET)