Big data analytics capability as a mediator in the impact of open innovation on firm performance
ABSTRACT: Purpose: Big data analytics capability (BDAC) is the ability of a firm to capture and analyze big data toward the generation of insights. The literature has mainly focused on analyzing the direct effects of BDAC on different aspects related to firm performance such as finances and innovati...
- Autores:
-
Arias Pérez, José Enrique
Coronado Medina, Alejandro
Perdomo Charry, Geovanny
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2021
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/37898
- Acceso en línea:
- https://hdl.handle.net/10495/37898
- Palabra clave:
- Innovaciones tecnológicas
Technological innovations
Big data
Innovación abierta
Transformación digital
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by/4.0/
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Big data analytics capability as a mediator in the impact of open innovation on firm performance |
| title |
Big data analytics capability as a mediator in the impact of open innovation on firm performance |
| spellingShingle |
Big data analytics capability as a mediator in the impact of open innovation on firm performance Innovaciones tecnológicas Technological innovations Big data Innovación abierta Transformación digital |
| title_short |
Big data analytics capability as a mediator in the impact of open innovation on firm performance |
| title_full |
Big data analytics capability as a mediator in the impact of open innovation on firm performance |
| title_fullStr |
Big data analytics capability as a mediator in the impact of open innovation on firm performance |
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Big data analytics capability as a mediator in the impact of open innovation on firm performance |
| title_sort |
Big data analytics capability as a mediator in the impact of open innovation on firm performance |
| dc.creator.fl_str_mv |
Arias Pérez, José Enrique Coronado Medina, Alejandro Perdomo Charry, Geovanny |
| dc.contributor.author.none.fl_str_mv |
Arias Pérez, José Enrique Coronado Medina, Alejandro Perdomo Charry, Geovanny |
| dc.contributor.researchgroup.spa.fl_str_mv |
Grupo de Investigación en Gestión Organizacional - GESTOR UdeA |
| dc.subject.lemb.none.fl_str_mv |
Innovaciones tecnológicas Technological innovations |
| topic |
Innovaciones tecnológicas Technological innovations Big data Innovación abierta Transformación digital |
| dc.subject.proposal.spa.fl_str_mv |
Big data Innovación abierta Transformación digital |
| description |
ABSTRACT: Purpose: Big data analytics capability (BDAC) is the ability of a firm to capture and analyze big data toward the generation of insights. The literature has mainly focused on analyzing the direct effects of BDAC on different aspects related to firm performance such as finances and innovation. However, the lack of works analyzing the intermediation role BDAC could play is noticeable, particularly in organizational situations that pose great challenges in terms of data processing. Thus, the aim of this paper is to analyze BDAC mediation in the relationship between open innovation (OI), particularly customer involvement, and firm performance (financial and non-financial). Design/methodology/approach: Structural equation modeling was used to test the proposed model with survey data from a sample of 112 firms. Findings: The results show that BDAC has a partial mediating effect on the relationship between OI and financial performance, and between OI and non-financial performance. Nevertheless, this mediation is greater in the first relationship. Originality/value: The main contribution of the study is to offer a broader research perspective regarding the role of BDAC in the relationship between OI and firm performance. This study ultimately questions that research tradition in which this role has been reduced to that of a simple application of data analytics techniques. Instead, the results show BDAC is primarily an organizational skill that should be articulated with key processes, such as customer involvement, to maximize the financial and non-financial use of the large flow of data coming from the main OI activity of low and medium-technology companies. |
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2021 |
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2021 |
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2024-01-26T20:08:49Z |
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2024-01-26T20:08:49Z |
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Artículo de investigación |
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Arias-Pérez, J. E., Coronado-Medina, A. and Perdomo-Charry, G. (2022). Big data analytics capability as a mediator in the impact of open innovation on firm performance. Journal of Strategy and Management, Vol. 15 No. 1, pp. 1-15. https://doi.org/10.1108/JSMA-09-2020-0262 |
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1755425X |
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https://hdl.handle.net/10495/37898 |
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10.1108/JSMA-09-2020-0262 |
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Arias-Pérez, J. E., Coronado-Medina, A. and Perdomo-Charry, G. (2022). Big data analytics capability as a mediator in the impact of open innovation on firm performance. Journal of Strategy and Management, Vol. 15 No. 1, pp. 1-15. https://doi.org/10.1108/JSMA-09-2020-0262 1755425X 10.1108/JSMA-09-2020-0262 |
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https://hdl.handle.net/10495/37898 |
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eng |
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eng |
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Journal of Strategy and Management |
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Arias Pérez, José EnriqueCoronado Medina, AlejandroPerdomo Charry, GeovannyGrupo de Investigación en Gestión Organizacional - GESTOR UdeA2024-01-26T20:08:49Z2024-01-26T20:08:49Z2021Arias-Pérez, J. E., Coronado-Medina, A. and Perdomo-Charry, G. (2022). Big data analytics capability as a mediator in the impact of open innovation on firm performance. Journal of Strategy and Management, Vol. 15 No. 1, pp. 1-15. https://doi.org/10.1108/JSMA-09-2020-02621755425Xhttps://hdl.handle.net/10495/3789810.1108/JSMA-09-2020-0262ABSTRACT: Purpose: Big data analytics capability (BDAC) is the ability of a firm to capture and analyze big data toward the generation of insights. The literature has mainly focused on analyzing the direct effects of BDAC on different aspects related to firm performance such as finances and innovation. However, the lack of works analyzing the intermediation role BDAC could play is noticeable, particularly in organizational situations that pose great challenges in terms of data processing. Thus, the aim of this paper is to analyze BDAC mediation in the relationship between open innovation (OI), particularly customer involvement, and firm performance (financial and non-financial). Design/methodology/approach: Structural equation modeling was used to test the proposed model with survey data from a sample of 112 firms. Findings: The results show that BDAC has a partial mediating effect on the relationship between OI and financial performance, and between OI and non-financial performance. Nevertheless, this mediation is greater in the first relationship. Originality/value: The main contribution of the study is to offer a broader research perspective regarding the role of BDAC in the relationship between OI and firm performance. This study ultimately questions that research tradition in which this role has been reduced to that of a simple application of data analytics techniques. Instead, the results show BDAC is primarily an organizational skill that should be articulated with key processes, such as customer involvement, to maximize the financial and non-financial use of the large flow of data coming from the main OI activity of low and medium-technology companies.COL000635815application/pdfengEmerald Publishing LimitedReino Unidohttps://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by-nc-nd/2.5/co/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Big data analytics capability as a mediator in the impact of open innovation on firm performanceArtículo de investigaciónhttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionInnovaciones tecnológicasTechnological innovationsBig dataInnovación abiertaTransformación digital151115Journal of Strategy and ManagementPublicationCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8823https://bibliotecadigital.udea.edu.co/bitstreams/5a3d3d75-d422-4aef-9b24-c71026b99895/downloadb88b088d9957e670ce3b3fbe2eedbc13MD52falseAnonymousREADORIGINALAriasJose_2021_BigDataInnovation.pdfAriasJose_2021_BigDataInnovation.pdfArticulo de revistaapplication/pdf158435https://bibliotecadigital.udea.edu.co/bitstreams/3bd02a7e-f056-4d5e-be6f-0da7e93e8ed2/download2233466535494d9b11b21b03ad73f8f5MD51trueAnonymousREADLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://bibliotecadigital.udea.edu.co/bitstreams/658c15c2-a830-4d93-b3e4-4fd57a96aeec/download8a4605be74aa9ea9d79846c1fba20a33MD53falseAnonymousREADTEXTAriasJose_2021_BigDataInnovation.pdf.txtAriasJose_2021_BigDataInnovation.pdf.txtExtracted texttext/plain57646https://bibliotecadigital.udea.edu.co/bitstreams/3740fb6a-e755-4674-83ba-c91eaba4e752/download5aa2d2c413e018f5e5a7b16a5e88a3d2MD56falseAnonymousREADTHUMBNAILAriasJose_2021_BigDataInnovation.pdf.jpgAriasJose_2021_BigDataInnovation.pdf.jpgGenerated Thumbnailimage/jpeg14591https://bibliotecadigital.udea.edu.co/bitstreams/4f7c2c16-e2da-4738-809d-070a50a22ca8/download0b911a77c561ea88ccaa62fda395d21aMD57falseAnonymousREAD10495/37898oai:bibliotecadigital.udea.edu.co:10495/378982025-03-26 18:04:45.284https://creativecommons.org/licenses/by/4.0/open.accesshttps://bibliotecadigital.udea.edu.coRepositorio Institucional de la Universidad de Antioquiaaplicacionbibliotecadigitalbiblioteca@udea.edu.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 |
