近年來，在全球化市場競爭之衝擊下，企業競爭日益激烈，誰能較早取得關鍵技術，並將之轉化為公司內部的技術能力，將是一個公司開拓或保有市場的一項關鍵因素；對那些知識及技術本位的企業，更是如此。然而，在如此激烈競爭的環境中，為求快速、正確且有效率的取得技術知識，已無法由企業內部獨自完成。據此，尋求外部的技術知識來源已是企業決策者所必須正視的課題。 因此，就國內的企業研究環境而言，如何運用產學合作機能，利用學校與企業資源，雙方在合作上發揮科技資源整合互補效應，以減少學校基礎研究與企業應用研究之間的差距。不過，為何在同一個研究單位，執行技術移轉的績效成果有顯著的差異。什麼是產學績效的評定標準、什麼是它影響技術移轉執行的顯著因子、它們之間的關係如何？本研究討論主軸專注在專案技術移轉執行過程。 目前國內及國外對於產學合作的相關研究很多，有些學者對於產學合作的機制、動機、合作成效、關鍵成功因素作討論；也有些學者針對某特定區域中的產學合作現況作研究，但是研究方向大多以學校的角度評估產學合作的績效，很少看到以公司研究單位的角度來了解影響因子。因而，由公司端探究企業影響產學合作執行績效的要素，也是本研究另一個特色。 希望藉由影響執行過程的因素和績效這兩個構面，所產生的問題，逐一的討論，希望能了解這些因子的因果關係。在未來產學合作專案中，加強做好不足的地方。使合作的結果更加理想。 / In recent years, it’s a key factor for a company to develop or to keep market by getting a core technology earlier and converting it into a company’s internal technical competence. Such scenario is also applied for those enterprises which are knowledge and technology -oriented. However, it is very difficult for an enterprise alone to get a core technology promptly, correctly and efficiently under highly competitive environment. Therefore, seeking outer source of technical knowledge is an essential lesson for an entrepreneur. As for domestic setting of enterprise’s research, it is important to shorten the gap between academic theoretical research and industrial applied research through integrating technical resources from both university and enterprise to obtain compensatory effects for each other on the cooperative basis. However, there is an obvious discrepancy on the performance of executing technical transfer in the same research unit. What are the criteria for evaluating industrial performance and academic one? What are the obvious factors which affect execution of technical transfer? And what are their relationships? This research focuses on the executive process of technical transfer. There are many domestic and foreign researches done on the topic of cooperation between the industry and the academy. Some scholars have discussed about the system, motive, result and key successful factor of the cooperation between the industry and the academy. Some other scholars have done research on present situation of cooperation between the industry and the academy in certain area, but many researches have been done in the academic way of evaluating performance of cooperation between the industry and the academy. Fewer researches have been done in the industrial way of estimating the influential factors. Another special feature of this research is the executive performance of cooperation between the industry and the academy could be affected by the industry. I hope those problems caused by the factors which affect the executive process and its performance can be discussed individually, and the relationship between cause and effect can be understood properly. Also, I wish I can do well in those areas needed to be enhanced in the future project of cooperation between the industry and the academy, and make it better for the result of such cooperation.

Submitted by Silvana Teresinha Dornelles Studzinski (sstudzinski) on 2016-05-25T12:28:08Z No. of bitstreams: 1 Jean Carlos Araújo Costa_.pdf: 1155126 bytes, checksum: 15210c31e7d20bb22cb98f8732173d6d (MD5) / Made available in DSpace on 2016-05-25T12:28:09Z (GMT). No. of bitstreams: 1 Jean Carlos Araújo Costa_.pdf: 1155126 bytes, checksum: 15210c31e7d20bb22cb98f8732173d6d (MD5) Previous issue date: 2016-03-01 / Nenhuma / Técnicas de visualização de dados podem auxiliar nas mais diversas áreas de atuação humana, em especial na compreensão de dados e informações de diferentes fenômenos que se quer estudar. Quanto mais variáveis estão relacionadas com esse fenômeno, mais desafiador se torna seu tratamento e representação visual. Pensando em educação no Brasil e suas bases de dados abertas, bem como em bases de dados acadêmicas existentes nas instituições, o uso de técnicas matemáticas para correlacionar conjuntos de dados e métodos de visualização para apresentar essas correlações, disponíveis em uma ferramenta de fácil acesso e operação, podem tornar públicas informações sobre a qualidade da educação de determinada região, estado, município e instituição de ensino. Outro benefício pode ser a indicação de fatores que antes eram ignorados, como alvos de investimento e ainda ajudar na elaboração de políticas públicas, nacionais ou regionais, que tornem a educação mais eficiente, abrangente e inclusiva. Iniciativas de organizações não governamentais e algumas vinculadas ao governo brasileiro tem elaborado ferramentas de filtragem de informações e divulgação de dados sobre qualidade e investimento de recursos na educação. O governo brasileiro usa índices de desempenho para avaliar suas Instituições de Ensino Superior. O Conceito Preliminar de Curso é um desses. Este trabalho apresenta uma solução, visando elaborar uma metodologia de visualização de dados através de uma aplicação web, com tecnologias open source, utilizando o método de análise de componentes principais (ACP) como técnica matemática de correlação de variáveis, e distribuindo resultados sobre um mapa com a utilização da API do Google Maps, porém, tendo como foco, a busca do nível de influência de diferentes fatores, inclusive de alguns não ligados diretamente à educação, na performance de instituições de ensino e no rendimento acadêmico de alunos, tendo como estudo de caso, a análise de um índice de desempenho na educação superior. / Data visualization techniques can help in several areas of human activity, especially in understanding data and information from different phenomena to be studied. The more variables are related to this phenomenon, the more challenging it becomes their treatment and visual representation. Thinking about education in Brazil and its open databases, as well as in existing academic databases in institutions, using mathematical techniques to correlate data sets and visualization methods to present these correlations available in an easy tool access and operation may disclose information on the quality of education in a region, state, county and educational institution. Another benefit coud be the indication of factors that were ignored, as investment targets and also help in the development of public policies, national or regional, that make more efficient, comprehensive and inclusive education. Initiatives of non-governmental organizations and some linked to the Brazilian government has prepared information filtering tools and dissemination of data on quality and investment of resources in education. Brazilian government uses performance indicators to assess their undergraduation institutions. Course Preliminar Concept (CPC) is one of those. This paper presents a solution to this profile, aiming to develop a data visualization methodology through a web application with open source technologies, using principal component analysis method (PCA) as mathematical technique of variable correlation, and distributing results on a map using the Google Maps API, however, focusing on the search for the level of influence of different factors, including some not directly related to education, performance of educational institutions and the academic performance of students, taking as a case study, the analysis of a performance index in undergraduation.