Tendo em vista que empresas de todos os portes e dos mais variados setores vêm adotando o modelo de CSC, com o objetivo de prestar serviços de alta qualidade à empresa, com custos otimizados. O presente estudo tem por objetivo desenvolver uma metodologia que permita de maneira simplificada avaliar o nível de desempenho dos serviços prestados por Centro de Serviços Compartilhados (CSC). Embasando-se na literatura sobre as características dos CSCs, estruturou-se o arcabouço teórico do estudo e definiram-se os aspectos da análise. E por meio de estudos de caso múltiplos, a metodologia proposta foi aplicada em empresas do segmento do varejista, sendo entrevistados quatro colaboradores de nível tático das unidades pesquisadas. De acordo com a síntese dos resultados da pesquisa, pode ser verificado que os serviços compartilhados de tecnologia da informação e marketing foram avaliados como satisfatórios, entretanto a área de logística, recursos humanos e finanças foram considerados pouco satisfatórios. Evidenciou-se nessa pesquisa, que avaliação das atividades não-core, é uma prática fundamental para a gestão do Centro de Serviços Compartilhados.
Goal: This article aims to propose a model for stratifying technological information from meta-data contained in international patent bases, capable of supporting the strategic decision making that potentiates actions directed to foreign trade.
Design / Methodology / Approach: This applied research was based on the KDD - Knowledge Discovery in Databases methodology and carried out a study focused on green patents. Patent bibliographic data published in the Patent Cooperation Treaty (PCT) from 2003 to 2012, focusing on alternative energies, more precisely on biofuels, were obtained from the Derwent database, with the search string based on the Green Patents IPC Inventory, published by the World Intellectual Property Organization (WIPO). After treatment and sanitization, more than 36,000 resulting records were performed under C4.5 algorithm, denominated J-48 from the software Weka, resulting in Brazil as the destination country.
Results: A decision tree was established, in which Mexico was highlighted as the main discretionary country. It was also verified the adhesion of the other emerging countries, which, along with Brazil, compose the BRICS.
Limitations of the investigation: The proposed model is limited to areas that show intensive use of technology in products and processes.
Practical implications: It could be inferred that the proposed method can help companies to identify international markets more sensitive to a certain technology, from a free database, reliable and capable of being used by micro and small companies.
Originality / Value: In scientific communication, it is not easy to find Data mining applied to Patent database, and in this study, BRICS cluster were identified in Green patents WIPO deposit.
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