1,721,670 research outputs found

    Resenha de FAUSTINO, M.; RYAN, B.; FERRARO, G. (Org.). Rostos do Si: Autobiografia, Confissão, Terapia

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    Resenha do livro FAUSTINO, M.; RYAN, B.; FERRARO, G. (Org.). Rostos do Si: Autobiografia, Confissão, Terapia. Lisboa: Livros Vendaval, 2019. 359p

    Technology transfer in innovation networks: An empirical study of the enterprise Europe network

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    This article offers a network perspective on the collaborative effects of technology transfer, providing a research methodology based on the network science paradigm. We argue that such an approach is able to map and describe the set of entities acting in the technology transfer environment and their mutual relationships. We outline how the connections’ patterns shape the organization of the networks by showing the role of the members within the system. By means of a case study of a transnational initiative aiming to support the technology transfer within European countries, we analyse the application of the network science approach, giving evidence of its relative implications

    Clairvoyant targeted attack on complex networks

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    Complex networks' resilience against attacks represents a crucial issue in terms of network structure integrity. We investigate the effect of removing nodes on the network diameter in the case of a simultaneous targeted attack and sequential targeted attack. The analysis has been implemented on several network instances, taking into account different centrality measures and clustering coefficients values. Empirical networks have also been observed to compare the effects of the two removal schemes. According to classical literature, we assume that the network attacker has a wide-ranging knowledge of the system. It can be defined as clairvoyant since it knows, a priori, of all the characteristics of the problem's instances. This awareness is not always applicable when real networks are characterised by a dynamic environment. Hence, we distinguish between clairvoyant and non-clairvoyant attacks

    Organizing collaboration in inter-organizational innovation networks, from orchestration to choreography

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    Innovation networks constitute a valid structure within which to foster members' abilities to interact and cooperate, in order to reduce environmental uncertainty and face the challenges that derive from economic change. Network members take advantage of their participation in the system by creating and extracting value when performing certain deliberate and purposeful activities. Traditionally, the interactions between network members are represented in a hierarchical structure with a prominent member performing a leadership role in managing the system. Recently, more complex organizations have emerged in which the power of the decisions is spread among all partners. In this paper, we overcome the single hub model and propose a new organizational framework called "choreography", which takes into account all network members, extending the roles of coordination and management throughout the entire network. We consider a real inter-organizational innovation network as an eligible case study which supports the choreography model
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