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

商业分析 数据科学 业务 商业智能 知识管理 数据分析 数据驱动 预测分析
作者
Luis Hernan Contreras Pinochet,Guilherme de Camargo Belli Amorim,Durval Lucas Júnior,Cesar Alexandre de Souza
出处
期刊:Journal of Enterprise Information Management [Emerald (MCB UP)]
卷期号:34 (5): 1406-1428 被引量:2
标识
DOI:10.1108/jeim-11-2020-0445
摘要

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.,The research had a quantitative approach, using a survey of data from firms located in the state of Sao Paulo – Brazil. Structural Equation Modeling (SEM) was used to validate the model.,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.,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.,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”.
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