809 resultados para Graduation in technology
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Pós-graduação em Ciências da Motricidade - IBRC
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The present PhD dissertation is dedicated to the general topic of knowledge transfer from academia to industry and the role of various measures at both institutional and university levels in support of commercialization of university research. The overall contribution of the present dissertation work refers to presenting an in-depth and comprehensive analysis of the main critical issues that currently exist with regard to commercial exploitation of academic research, while providing evidence on the role of previously underexplored areas (e.g. strategic use of academic patents; female academic patenting) in a general debate on the ways to successful knowledge transfer from academia to industry. The first paper, included in the present PhD dissertation, aims to address this gap by developing a taxonomy of literature, based on a comprehensive review of the existing body of research on government measures in support of knowledge transfer from academia to industry. The results of the review reveal that there is a considerable gap in the analysis of the impact and relative effectiveness of the public policy measures, especially in what regards the measures aimed at building knowledge and expertise among academic faculty and technology transfer agents. The second paper, presented as a part of the dissertation, focuses on the role of interorganizational collaborations and their effect on the likelihood of an academic patent to remain unused, and points to the strategic management of patents by universities. In the third paper I turn to the issue of female participation in patenting and commercialization; in particular, I find evidence on the positive role of university and its internal support structures in closing the gender gap in female academic patenting. The results of the research, carried out for the present dissertation, provide important implications for policy makers in crafting measures to increase the efficient use of university knowledge stock.
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How do developers and designers of a new technology make sense of intended users? The critical groundwork for user-centred technology development begins not by involving actual users' exposure to the technological artefact but much earlier, with designers' and developers' vision of future users. Thus, anticipating intended users is critical to technology uptake. We conceptualise the anticipation of intended users as a form of prospective sensemaking in technology development. Employing a narrative analytical approach and drawing on four key communities in the development of Grid computing, we reconstruct how each community anticipated the intended Grid user. Based on our findings, we conceptualise user anticipation in Terms of two key dimensions, namely the intended possibility to inscribe user needs into the technological artefact as well as the intended scope of the application domain. In turn, these dimensions allow us to develop an initial typology of intended user concepts that in turn might provide a key building block towards a generic typology of intended users.
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This report analyzes technology transfers and education for local engineers within overseas subsidiaries of Japanese and European companies that have advanced into China, and examines differences among them. Based on the assumption that if the quality of trained local engineers is different, the international division of labor is also different, I aim to clarify how they are different.
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This paper explores the incentives political and bureaucratic actors face in the institutional setting of EU technology policy. In examining the implications and assumptions of neoclassical and evolutionary theories of technological change, it tries to answer why certain theories do not obtain importance in the political wor1d. By focusing on the positive approach to policymaking, the paper examines why policy learning does not occur m certain institutional settings. In referring to EU technology programs, I show which conceptual and functional shortcomings limit the policies in question. As evaluation and oversight mechanisms have not been sufficiently developed and accepted within the institutional setting, there is much room for inefficiency. I discuss this setting within a simple agency model using two political actors and two firms performing R&D. It is easy to show that when asymmetric information applies, the firms receive positive rents and the political agent gains reputation. The outcome suggests changing the evaluation practices and embedding results in political decision making. Regarding this point, recent U.S. developments seem to have led to more efficiency. Moreover, the paper suggests delegating technology policy to other actors and discussing the empowerment of different principals on the political plane.
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Mode of access: Internet.
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This paper introduces a compact form for the maximum value of the non-Archimedean in Data Envelopment Analysis (DEA) models applied for the technology selection, without the need to solve a linear programming (LP). Using this method the computational performance the common weight multi-criteria decision-making (MCDM) DEA model proposed by Karsak and Ahiska (International Journal of Production Research, 2005, 43(8), 1537-1554) is improved. This improvement is significant when computational issues and complexity analysis are a concern.