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https://hdl.handle.net/10495/31618| Título : | Big Data Analytics Capability and Co-Innovation : An Empirical Study |
| Autor : | Lozada Barahona, Nelson Enrique Arias Pérez, José Enrique Perdomo Charry, Geovanny |
| metadata.dc.subject.*: | 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 |
| Fecha de publicación : | 2019 |
| Editorial : | Elsevier |
| Resumen : | 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. |
| metadata.dc.identifier.eissn: | 2405-8440 |
| metadata.dc.identifier.doi: | 10.1016/j.heliyon.2019.e02541 |
| Aparece en las colecciones: | Artículos de Revista en Ciencias Económicas |
Ficheros en este ítem:
| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| LozadaNelson_2019_BigDataAnalyticsCapability.pdf | Articulo de revista | 426.96 kB | Adobe PDF | Visualizar/Abrir |
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