Consequential factors of Big Data's Analytics Capability: how firms use data in the competitive scenario

Abstract

PurposeThe 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/approachThe 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.FindingsThe 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 implicationsThe 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/valueThe 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”.

The trickle-down effect of big data use to predict organization innovation: the roles of business strategy alignment and information sharing

“…The advent of “Big Data” has transformed the firms' working styles (Peng et al. , 2022; Contreras Pinochet et al., 2021) and enforces a firm's top management to bring changes in their production system to capture a competitive advantage in the highly globalized markets (Aydiner et al ., 2019). Yang et al.…”

“…Hadoop and MapReduce), which are used to create valuable insights from the large amount of dataset, are referred as big data use (BDU) (Sun and Shi, 2021;Chen et al, 2012). The advent of "Big Data" has transformed the firms' working styles (Peng et al, 2022;Contreras Pinochet et al, 2021) and enforces a firm's top management to bring changes in their production system to capture a competitive advantage in the highly globalized markets (Aydiner et al, 2019). Yang et al (2022) highlighted that big challenges using big data can be resolved to minimize the financial risk in the digital economy.…”

Unveiling the effects of big data analytics capability on innovation capability through absorptive capacity: why more and better insights matter

“…In the case of Zhan et al (2017), who develop a conceptual framework by analyzing the literature and interviews with managers and academics, it is suggested that BDAC, in addition to accelerating the innovation processas it helps to quickly detect product weaknesses and functionalities valued by customersalso facilitates the identification and prioritization of customer needs in specific markets. Contreras Pinochet et al, (2021) concluded that BDAC enables the business to analyze customer data in real time and produce insightful information that is useful for creating solutions to maintain or enhance market position.…”

Guest editorial

“…The article entitled "Consequential factors of Big Data's Analytics Capability: how firms use data in the competitive scenario" is contributed by Contreras Pinochet et al (2021). Their focus on big data analytics capability leads to a proposed model that encompasses big data operations, updating IT to enable big data, advanced big data analytics skillsets, and the strategic use of big data.…”