Mostrar el registro sencillo del ítem
dc.contributor.author | Rotolo, Daniele | es_ES |
dc.contributor.author | Rafols, Ismael | es_ES |
dc.contributor.author | Hopkins, Michael | es_ES |
dc.contributor.author | Leydesdorff, Loet | es_ES |
dc.date.accessioned | 2018-09-26T04:31:01Z | |
dc.date.available | 2018-09-26T04:31:01Z | |
dc.date.issued | 2017 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/108207 | |
dc.description.abstract | [EN] 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. | es_ES |
dc.description.sponsorship | 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. The findings and observations contained in this paper are those of the authors and do not necessarily reflect the funders' views. The authors thank Paul Nightingale, Stefan Kuhlmann, and Peter Stegmaier, and two anonymous reviewers for their suggestions and comments on earlier versions of this paper. Previous versions of this paper were presented at the 2013 ISSI Conference, 2013 EU-SPRI Conference, 2013 Atlanta Conference, 2013 DRUID Conference, and "2013 Data Science, Tech Mining and Innovation" workshop in Manchester, UK. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | John Wiley & Sons, Inc. | es_ES |
dc.relation.ispartof | Journal of the Association for Information Science and Technology (Online) | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.title | Strategic Intelligence on Emerging Technologies: Scientometric Overlay Mapping | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1002/asi.23631 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NSF/Directorate for Social, Behavioral & Economic Sciences/1064146/US/ | en_EN |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto de Gestión de la Innovación y del Conocimiento - Institut de Gestió de la Innovació i del Coneixement | es_ES |
dc.description.bibliographicCitation | Rotolo, D.; Rafols, I.; Hopkins, M.; Leydesdorff, L. (2017). Strategic Intelligence on Emerging Technologies: Scientometric Overlay Mapping. Journal of the Association for Information Science and Technology (Online). 68(1):214-233. https://doi.org/10.1002/asi.23631 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1002/asi.23631 | es_ES |
dc.description.upvformatpinicio | 214 | es_ES |
dc.description.upvformatpfin | 233 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 68 | es_ES |
dc.description.issue | 1 | es_ES |
dc.identifier.eissn | 2330-1643 | es_ES |
dc.relation.pasarela | S\359871 | es_ES |