Proposta de melhoria do processo tradicional de inteligência e do subprocesso de coleta de documentos de patente: estudo de caso no Núcleo de Informação Tecnológica em Materiais

• Ano de defesa: 2018
• Autor(a) principal: Bessi, Nayara Cristini
• Orientador(a): Oprime, Pedro Carlos
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de São Carlos; Câmpus São Carlos
• Programa de Pós-Graduação: Programa de Pós-Graduação em Engenharia de Produção - PPGEP
• Palavras-chave em Português: Inteligência tecnológica; Processo de Inteligência; Processo de coleta de documentos de patente; Qualidade de dados e informações; Melhoria de processo; Precisão
• Palavras-chave em Inglês: Technical Intelligence; Process of Intelligence; Process of collection of patent documents; Quality of data and information; Process improvement; Precision
• Área do conhecimento CNPq: CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO::ADMINISTRACAO DE EMPRESAS::ADMINISTRACAO DA PRODUCAO; CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO::ADMINISTRACAO PUBLICA::PLANEJAMENTO EM CIENCIA E TECNOLOGIA; ENGENHARIAS::ENGENHARIA DE PRODUCAO::GERENCIA DE PRODUCAO::GARANTIA DE CONTROLE DE QUALIDADE
• Link de acesso: https://repositorio.ufscar.br/handle/20.500.14289/10989

Technical Intelligence and Information Quality are areas of knowledge that are important for decision making in the organizational context. Some challenges that deserve attention emerges when we approach both areas. First, in the up-to-date scenario of high volumes of data and information, the collectors are running information practices to facilitate the retrieval of accurate data and information for decision making. This goal aggravates when intelligence is direction of the functions for science and the technology, as is the Technical Intelligence. The tesis of this research is that tools, models, and methodologies, especially those used in the management and improvement of the quality process, manufactured products and services , also used by Quality of Information, can be applied to the process of Technical Intelligence to improve it. Although recent research points to the possibility of evaluating and improving Information Quality through methodologies used in Quality Management, these do not correlate directly with Technical Intelligence. The focus of the improvement was to optimize the levels of precision of the collection of patent documents by applying and inserting Quality Management contributions through the Define Measure Analyze Improve Control approach. The method adopted was the case study and the case unit the Nucleus of Technological Information in Materials of the Federal University of São Carlos. The development of the research comprised the stages of: a) definition of a conceptual-theoretical structure through literature mappings; b) planning the case; c) execution of the case, by mapping the processes, by developing an experimental method to increase the precision of the results of the collection, the survey, prioritization and proposals for improvements of the causes of low precision; d) elaboration of a new process incorporating the improvements. The results obtained were: a) model of intelligence process; b) subprocess model of collecting patent documents; c) proposals for corrective actions for improvements; d) choosing the best collection scenario; e) incorporation of the proposals into a new subprocess. It is concluded that the mapped processes are instruments that can be used by organizations and managers to more effectively manage the intelligence activity and collection of patent documents, being able to act as a driver for the implementation of activities, in the execution of training, in addition to allow greater knowledge and greater systemic vision of the activity and to solve incremental and radical problems and improvements. The new collection model can also be implemented to choose the patent databases to be used in Text Mining and Data Mining activities for Technical Intelligence.