Abstract
This paper explores the key factors that foster technology transfer within the triad university-industry-government in an international context, i.e., the Enterprise Europe Network (EEN). Based on 71 technological Partnership Agreements (PAs), estimation results indicate that PAs associated to partners that provide their collaborators with the appropriate training in technology transfer-related issues, present substantial past experience in international or technological projects, and participate in extensive networks, are those that achieve better performances in terms of international technology transfer. High levels of formal schooling per se are not a key determinant of international technology transfer; the critical factor is highly educated human resources who receive complementary training in technology transfer issues. © Universidad Alberto Hurtado, Facultad de Economía y Negocios.

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This paper contributes to the scarce empirical literature on the impact of foreign ownership on human capital intensity. New evidence is provided, based on a comprehensive, large-scale survey of technology-based firms located in Portugal.The key findings are that: (1) foreign ownership directly (and significantly) impacts a firm's general human capital (education); (2) foreign ownership indirectly (and significantly) impacts a firm's specific human capital (skills); (3) the total impact of foreign ownership on a firm's human capital intensity is higher for education- (general) than for skills- (specific) related human capital intensity. Giving the critical importance of both FDI and human capital development for an 'intermediate' economy like Portugal (lagging behind in terms of human capital stock, and seeming to have lost part of its attractiveness as an FDI location), the paper discusses related policy implications. It is believed that our results and conclusions may be useful for other countries facing similar challenges.

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The present study surveys and maps the existing methodological approaches for measuring creative employment. Based on a unique matched employer-employee data-set which encompasses over three million Portuguese workers, we found that the magnitude of the creative class varies considerably between approaches, ranging from 2.5%, using the conventional industry-based taxonomy and 30.8%, using Florida's occupational proposal. The disparities are justified on the basis of the departure definition of what creative employment is and operationalization issues regarding which industries and occupations should be included. Interestingly, when we focus on core creative employment, the figures conveyed by the distinct approaches are strikingly similar (around 6%), suggesting that, at least where core creative employment is concerned, the distinct approaches converge. The diversity of approaches and measurements are not necessarily a bad thing in itself, but has to be adequately acknowledged in order to accomplish adequate public-policy guidance.

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The advancement of knowledge on networks entails acknowledging the heterogeneity of their participants, more precisely, the organizations that lie beyond the scope of the activities of firms. Adopting a dynamic perspective of networks, and considering different types of innovation exchanges, we propose a hybrid and wider notion of industry which implies taking account of a set of local supporting organizations (LSOs) in domains such as research and technology, production factors, consultancy and training, and public support. Based on a rich data set built from face-to-face interviews with Portuguese automotive organizations, which resulted in a network comprising 867 organizations, we apply social network analysis techniques to analyse the structure, content and dynamics of the networks. The evidence gathered unveiled huge industry turbulence and significant changes in the boundaries of the Portuguese automotive networks over a 20-year period, with the emergence (and decline) of different prominent organizations. Specifically, following AutoEuropa major foreign direct investment (in 1995), the analyses reflect a clear increase in connectivity within the industry (from 524, before 1995, up to 2327 connections after 1995), with greater involvement among suppliers and between suppliers and LSOs, with the latter achieving top positions in the ranking of innovation networks.