Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/10495/38940
Título : Fostering big data analytics capability through process innovation: Is management innovation the missing link?
Autor : Henao García, Edwin Alexander
Arias Pérez, José Enrique
Lozada Barahona, Nelson Enrique
metadata.dc.subject.*: Big data
Technological innovations--Management
Dynamic capabilities view
Process innovation capability
Resource-based theory
http://id.loc.gov/authorities/subjects/sh2012003227
http://id.loc.gov/authorities/subjects/sh2008112644
Fecha de publicación : 2021
Editorial : SAGE Publications
Citación : Henao-García, E., Arias-Pérez, J., & Lozada, N. (2021). Fostering big data analytics capability through process innovation: Is management innovation the missing link? Business Information Review, 38(1), 28-39. https://doi.org/10.1177/0266382120984716
Resumen : ABSTRACT: Big data is heralded as the next big thing for organizations to gain competitive advantages. New data-driven firms need to control key resources in order to develop the new data-driven capabilities they need. The present paper analyzes the relationships between process innovation capability, management innovation and big data analytics capability, covering aspects related to a better understanding of how firms can obtain benefit from their investments in big data. PLS-SEM models with data from 195 firms are used. The main results suggest that management innovation and process innovation capabilities have an important role in the development of big data analytics capability. Big data analytics capability is much more than just investing in technology, collecting vast amounts of data, and allowing the technology department to experiment with analytics. The outcomes of this study present evidence on how innovative managers who promote innovations in process as well as innovations in different aspects of the organization favor the development of capabilities in big data analytics.
metadata.dc.identifier.eissn: 1741-6450
ISSN : 0266-3821
metadata.dc.identifier.doi: 10.1177/0266382120984716
Aparece en las colecciones: Artículos de Revista en Ciencias Económicas

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