dc.creator | Martínez Torres, María del Rocío | |
dc.date.accessioned | 2016-01-05T10:49:43Z | |
dc.date.available | 2016-01-05T10:49:43Z | |
dc.date.issued | 2015 | |
dc.identifier.issn | 0953-7325 | es |
dc.identifier.issn | 1465-3990 | es |
dc.identifier.uri | http://hdl.handle.net/11441/32244 | |
dc.description.abstract | Open innovation (OI) represents an emergent paradigm by which customers and users are
involved as part of the innovation processes of organisations. One of its most popular implementation
schemes is OI communities, which have been popularised by the use of social
software. Through these communities, users are free to post, share, comment and evaluate
other users’ ideas, and they can interact with other users as well as with the innovation
department and experts of the organisation. One of the challenges of OI communities is distinguishing
the most innovative ideas, as they receive hundreds or even thousands of ideas.
This paper proposes a novel approach for this task consisting of analysing the content of shared
ideas. Through this analysis, several conclusions about the decision processes of the organisation
can be inferred. The obtained results can help OI managers to improve ideas evaluation
processes | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad ECO2013-43856-R | es |
dc.description.sponsorship | Junta de Andalucia. Consejería de Economía, Innovación, Ciencia y Empleo P12-SEJ-328 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.relation.ispartof | Technology Analysis & Strategic Management, 27(7), 859-875 | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | open innovation | es |
dc.subject | innovation communities | es |
dc.subject | latent semantic indexing | es |
dc.subject | ultrametric trees | es |
dc.subject | innovation policies | es |
dc.title | Content analysis of open innovation communities using latent semantic indexing | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Administración de Empresas y Comercialización e Investigación de Mercados (Marketing) | es |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO/ECO2013-43856-R | es |
dc.relation.projectID | P12-SEJ-328 | es |
dc.identifier.doi | http://dx.doi.org/10.1080/09537325.2015.1020056 | es |
dc.identifier.idus | https://idus.us.es/xmlui/handle/11441/32244 | |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | |
dc.contributor.funder | Junta de Andalucía | |