Proposta de framework com utilização de big data baseado em inteligência competitiva para a geração de vantagem competitiva

Abstract

Technological innovations allow greater transformations in the behavior of societies,affecting all productive and business sectors through solutions that arise at any moment,almost simultaneously, in the contemporary world. Solutions such as cloud computing, theinternet of things and artificial intelligence, among others, provide vast data generation that,in large sets, are called Big Data. In this context, the use of new technologies in allproductive sectors is increasing. Thus, in a scenario of innovation and technologicalmanagement mechanisms, proposed the following thesis: the use of large data groups (BigData) together with the competitive intelligence process can generate competitive advantagefor a specific production chain. The main objective of the study presented here is to develop adata based technological innovation framework focused on the competitive intelligenceprocess for productive chains. For that, based the theoretical construction in the concept ofBig Data and competitive intelligence theory. An exploratory, descriptive and documentarystudy that uses the design science research methodology (DSR) for the two artifactsconstruction, one theoretical and the other practical. Called Big Data intelligence frameworkthe theoretical artifact and it is a theoretical model for use in collection centers, treatmentand distribution of information directed to market decision makers. The practical artifactdeals with the improvement of a search engine called the intelligent search process, that is, anupdate on the business intelligence platform of the beef observatory (CiCarne/Embrapa gadode corte). The theoretical contribution is the affirmation that livestock farming is in a newmarket context. In the same way, the integration of the Big Data elements and competitiveintelligence allows to integrate to this business environment denominated livestock 4.0.Making this a new context of generation and dissemination of information useful for decisionmaking. As well as the possibility of applying the framework to any other chain. Due to itssystematized construction, it allows the integration of information generating processes to aiddecision-making. Highligh in relation to the practical contribution, the proposedenhancement for the search platform, whose function is to arouse researchers' greaterinterest in the use of the tool, since there is a possibility of more flexible use. Although thecurrent platform is not equipped with artificial intelligence capabilities, it shows greatpotential in providing satisfactory answers to the search based on the Big Data SearchIntegrated Process developed in this thesis.