Interpreting, analyzing and distributing information: A big data framework for competitive intelligence

Authors

  • Eduardo Luis Casarotto Universidade Federal da Grande Dourados Author
  • Guilherme Cunha Malafaia Empresa Brasileira de Pesquisa Agropecuária, Campo Grande Author
  • Marta Pagán Martínez Universidade Federal de São Carlos, São Carlos Author
  • Erlaine Binotto Universidade Federal da Grande Dourados Author

DOI:

https://doi.org/10.37380/jisib.v1i1.691

Keywords:

Big data, competitive intelligence, technological innovation

Abstract

This paper aimed to develop a data-based technological innovation framework focused on the competitive intelligence process. Technological innovations increasingly transform the behavior of societies, affecting all sectors. Solutions such as cloud computing, the Internet 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 face of such innovation and technological mechanisms of management. We advocated that the use of Big Data and the competitive intelligence process could help generate or maintain a competitive advantage for organizations. We based the proposition of our framework on the concepts of Big Data and competitive intelligence. Our proposal is a theoretical framework for use in the collection, treatment, and distribution of information directed to strategic decision-makers. Its systematized architecture allows the integration of processes that generate information for decision making.

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Published

2021-04-28

How to Cite

Casarotto, E. L., Malafaia, G. C., Martínez, M. P., & Binotto, E. (2021). Interpreting, analyzing and distributing information: A big data framework for competitive intelligence. Journal of Intelligence Studies in Business, 11(1), 6-18. https://doi.org/10.37380/jisib.v1i1.691