Big Data Analytics Capability and Co-Innovation : An Empirical Study
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...
- Autores:
-
Lozada Barahona, Nelson Enrique
Arias Pérez, José Enrique
Perdomo Charry, Geovanny
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2019
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/31618
- Acceso en línea:
- https://hdl.handle.net/10495/31618
- Palabra clave:
- Big data
Big data and business analytics
Information science
Co-creación
https://lccn.loc.gov/sh2012003227
ttps://lccn.loc.gov/no2019037574
ttps://lccn.loc.gov/sh85066150
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/2.5/co/
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Big Data Analytics Capability and Co-Innovation : An Empirical Study |
| title |
Big Data Analytics Capability and Co-Innovation : An Empirical Study |
| spellingShingle |
Big Data Analytics Capability and Co-Innovation : An Empirical Study Big data Big data and business analytics Information science Co-creación https://lccn.loc.gov/sh2012003227 ttps://lccn.loc.gov/no2019037574 ttps://lccn.loc.gov/sh85066150 |
| title_short |
Big Data Analytics Capability and Co-Innovation : An Empirical Study |
| title_full |
Big Data Analytics Capability and Co-Innovation : An Empirical Study |
| title_fullStr |
Big Data Analytics Capability and Co-Innovation : An Empirical Study |
| title_full_unstemmed |
Big Data Analytics Capability and Co-Innovation : An Empirical Study |
| title_sort |
Big Data Analytics Capability and Co-Innovation : An Empirical Study |
| dc.creator.fl_str_mv |
Lozada Barahona, Nelson Enrique Arias Pérez, José Enrique Perdomo Charry, Geovanny |
| dc.contributor.author.none.fl_str_mv |
Lozada Barahona, Nelson Enrique Arias Pérez, José Enrique Perdomo Charry, Geovanny |
| dc.contributor.researchgroup.spa.fl_str_mv |
Grupo de Investigación en Gestión Organizacional - GESTOR UdeA |
| dc.subject.lcsh.none.fl_str_mv |
Big data Big data and business analytics Information science |
| topic |
Big data Big data and business analytics Information science Co-creación https://lccn.loc.gov/sh2012003227 ttps://lccn.loc.gov/no2019037574 ttps://lccn.loc.gov/sh85066150 |
| dc.subject.proposal.spa.fl_str_mv |
Co-creación |
| dc.subject.lcshuri.none.fl_str_mv |
https://lccn.loc.gov/sh2012003227 ttps://lccn.loc.gov/no2019037574 ttps://lccn.loc.gov/sh85066150 |
| description |
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. |
| publishDate |
2019 |
| dc.date.issued.none.fl_str_mv |
2019 |
| dc.date.accessioned.none.fl_str_mv |
2022-10-30T22:44:33Z |
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2022-10-30T22:44:33Z |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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info:eu-repo/semantics/article |
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https://hdl.handle.net/10495/31618 |
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10.1016/j.heliyon.2019.e02541 |
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2405-8440 |
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https://hdl.handle.net/10495/31618 |
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10.1016/j.heliyon.2019.e02541 2405-8440 |
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eng |
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eng |
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1 |
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5 |
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Heliyon Electronic |
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http://creativecommons.org/licenses/by-nc-nd/2.5/co/ |
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https://creativecommons.org/licenses/by-nc-nd/4.0/ |
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Lozada Barahona, Nelson EnriqueArias Pérez, José EnriquePerdomo Charry, GeovannyGrupo de Investigación en Gestión Organizacional - GESTOR UdeA2022-10-30T22:44:33Z2022-10-30T22:44:33Z2019https://hdl.handle.net/10495/3161810.1016/j.heliyon.2019.e025412405-8440ABSTRACT: 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. 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