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Validation of a web mining technique to measure innovation in the Canadian nanotechnology-related community

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Validation of a web mining technique to measure innovation in the Canadian nanotechnology-related community

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dc.contributor.author Rietsch, Constant es_ES
dc.contributor.author Beaudry, Catherine es_ES
dc.contributor.author Héroux-Vaillancourt, Mikaël es_ES
dc.date.accessioned 2017-07-10T07:13:23Z
dc.date.available 2017-07-10T07:13:23Z
dc.date.issued 2016-10-10
dc.identifier.isbn 9788490484623
dc.identifier.uri http://hdl.handle.net/10251/84790
dc.description.abstract [EN] In this exploratory study, we explore a methodology using a web mining technique to source data in order to analyse innovation and commercialisation processes in Canadian nanotechnology firms. 79 websites have been extracted and analysed based on keywords related to 4 core concepts (R&D, intellectual property, collaboration and external financing) especially important for the commercialisation of nanotechnology. To validate our methodology, we compare our web mining results with those from a classic questionnaire-based survey. Our results show a correlation between the indicators from the two methods of r=0.306 (p-value=0.007) for R&D, of r=0.368 (p-value=0.002) for IP, of r=0.222 (p-value of 0.071) for Collaboration and of r=0.222 (p-value=0.067) for external financing. We conclude that some of the data extracted by our web mining technique can be used as proxy for specific variables obtained from more classical methods. es_ES
dc.format.extent 16 es_ES
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.relation.ispartof CARMA 2016: 1st International Conference on Advanced Research Methods in Analytics es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject web data es_ES
dc.subject internet data es_ES
dc.subject big data es_ES
dc.subject qca es_ES
dc.subject pls es_ES
dc.subject sem es_ES
dc.subject conference es_ES
dc.title Validation of a web mining technique to measure innovation in the Canadian nanotechnology-related community es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.4995/CARMA2016.2015.3140
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Rietsch, C.; Beaudry, C.; Héroux-Vaillancourt, M. (2016). Validation of a web mining technique to measure innovation in the Canadian nanotechnology-related community. En CARMA 2016: 1st International Conference on Advanced Research Methods in Analytics. Editorial Universitat Politècnica de València. 100-115. https://doi.org/10.4995/CARMA2016.2015.3140 es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename CARMA 2016 - 1st International Conference on Advanced Research Methods and Analytics es_ES
dc.relation.conferencedate July 06-07,2016 es_ES
dc.relation.conferenceplace Valencia, Spain es_ES
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/CARMA/CARMA2016/paper/view/3140 es_ES
dc.description.upvformatpinicio 100 es_ES
dc.description.upvformatpfin 115 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela OCS\3140 es_ES


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