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Campo DC | Valor | Lengua/Idioma |
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dc.contributor.author | Lozada Barahona, Nelson Enrique | - |
dc.contributor.author | Arias Pérez, José Enrique | - |
dc.contributor.author | Perdomo Charry, Geovanny | - |
dc.date.accessioned | 2022-10-30T22:44:33Z | - |
dc.date.available | 2022-10-30T22:44:33Z | - |
dc.date.issued | 2019 | - |
dc.identifier.uri | https://hdl.handle.net/10495/31618 | - |
dc.description.abstract | ABSTRACT: There are numerous emerging studies addressing big data and its application in different organizational aspects, especially regarding its impact on the business innovation process. This study in particular aims at analyzing the existing relationship between Big Data Analytics Capabilities and Co-innovation. To test the hypothesis model, structural equations by the partial least squares method were used in a sample of 112 Colombian firms. The main findings allow to positively relate Big Data Analytics Capabilities with better and more agile processes of product and service co-creation and with more robust collaboration networks with stakeholders internal and external to the firm. | spa |
dc.format.mimetype | application/pdf | spa |
dc.language.iso | eng | spa |
dc.publisher | Elsevier | spa |
dc.type.hasversion | info:eu-repo/semantics/publishedVersion | spa |
dc.rights | info:eu-repo/semantics/openAccess | spa |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/2.5/co/ | * |
dc.subject.lcsh | Big data | - |
dc.subject.lcsh | Big data and business analytics | - |
dc.subject.lcsh | Information science | - |
dc.title | Big Data Analytics Capability and Co-Innovation : An Empirical Study | spa |
dc.type | info:eu-repo/semantics/article | spa |
dc.publisher.group | Grupo de Investigación en Gestión Organizacional - GESTOR UdeA | spa |
dc.identifier.doi | 10.1016/j.heliyon.2019.e02541 | - |
oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | spa |
dc.rights.accessrights | http://purl.org/coar/access_right/c_abf2 | spa |
dc.identifier.eissn | 2405-8440 | - |
oaire.citationtitle | Heliyon Electronic | spa |
oaire.citationstartpage | 1 | spa |
oaire.citationendpage | 7 | spa |
oaire.citationvolume | 5 | spa |
oaire.citationissue | 10 | spa |
dc.rights.creativecommons | https://creativecommons.org/licenses/by-nc-nd/4.0/ | spa |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 | spa |
dc.type.redcol | http://purl.org/redcol/resource_type/CJournalArticle | spa |
dc.type.local | Artículo de revista | spa |
dc.subject.proposal | Co-creación | spa |
dc.subject.lcshuri | https://lccn.loc.gov/sh2012003227 | - |
dc.subject.lcshuri | ttps://lccn.loc.gov/no2019037574 | - |
dc.subject.lcshuri | ttps://lccn.loc.gov/sh85066150 | - |
Aparece en las colecciones: | Artículos de Revista en Ciencias Económicas |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
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LozadaNelson_2019_BigDataAnalyticsCapability.pdf | Articulo de revista | 426.96 kB | Adobe PDF | Visualizar/Abrir |
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