文章基本信息

标题：Interpreting, analyzing and distributing information: A big data framework for competitive intelligence
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作者：Eduardo Luis Casarotto ; Guilherme Cunha Malafaia ; Marta Pagán Martínez 等
期刊名称：Journal of Intelligence Studies in Business
电子版ISSN：2001-015X
出版年度：2021
卷号：11
期号：1
DOI：10.37380/jisib.v1i1.691
语种：English
出版社：Halmstad University
摘要：This paper aimed to develop a data-based technological innovation frameworkfocused on the competitive intelligence process. Technological innovations increasinglytransform the behavior of societies, affecting all sectors. Solutions such as cloud computing, theInternet of Things, and artificial intelligence provide and benefit from a vast generation of data:large data sets called Big Data. The use of new technologies in all sectors increases in the faceof such innovation and technological mechanisms of management. We advocated that the use ofBig Data and the competitive intelligence process could help generate or maintain a competitiveadvantage for organizations. We based the proposition of our framework on the concepts of BigData and competitive intelligence. Our proposal is a theoretical framework for use in thecollection, treatment, and distribution of information directed to strategic decision-makers. Itssystematized architecture allows the integration of processes that generate information fordecision making.
关键词：Big data; competitive intelligence; technological innovation