Consequential factors of Big Data's Analytics Capability: how firms use data in the competitive scenario
Journal of Enterprise Information Management
ISSN: 1741-0398
Article publication date: 3 August 2021
Issue publication date: 9 November 2021
Abstract
Purpose
The article's objective is to analyze the consequent factors of Big Data Analytics Capability for firms in the competitive scenario, using different analytical models.
Design/methodology/approach
The research had a quantitative approach, using a survey of data from firms located in the state of São Paulo – Brazil. Structural Equation Modeling (SEM) was used to validate the model.
Findings
The results reveal that all hypotheses were accepted. Business value was the construct that had the most explanatory power in the model. It is necessary to invest more in analytical tools, as well as people trained in the analysis of these models, in addition to a change of mindset, which will dictate the bias of the firm's strategic decision-making. The Big Data analysis is evident from firms' growing investments, particularly those that operate in complex and fast-paced environments.
Practical implications
The proposed theoretical model makes it possible to verify firms' analytical structure and whether they are better positioned to analyze customer data and information in real-time, generate insights and implement solutions to maintain and improve their market position.
Originality/value
The contribution of this article is to present a proposal to expand the research models in the literature that analyzed the direct and indirect relationship between “Big Data Analytics Capability” and “Product Innovation Performance”.
Keywords
Citation
Contreras Pinochet, L.H., Amorim, G.d.C.B., Lucas Júnior, D. and Souza, C.A.d. (2021), "Consequential factors of Big Data's Analytics Capability: how firms use data in the competitive scenario", Journal of Enterprise Information Management, Vol. 34 No. 5, pp. 1406-1428. https://doi.org/10.1108/JEIM-11-2020-0445
Publisher
:Emerald Publishing Limited
Copyright © 2021, Emerald Publishing Limited