Characteristics and performance of knowledge networks in the biotechnology sector

Abstract

This research aimed to analyze the properties and typologies of a biotechnology sector network with regard to their relationships, attributes and performance in research and production of innovations. For this purpose, it had as its empirical field the Northeast Biotechnology Network, using patent reports produced by the network as a data source. In order to track the relationship networks between members, groups, institutions and projects, social networking analysis tools were used, making it possible to construct relationship matrices between the laboratories and companies and, lastly, researchers. In total, 117 researchers were identified, distributed among 18 research centers and 47 laboratories or companies. Their projects are distributed across three main areas: agriculture, industrial and health, the latter being the strongest of the three with more patents produced and more institutions involved in research. The weak density presented by the network, at all analysis levels, strengthens the necessity for integration strategies. Also, it indicates the possibility for new relationships between agents that are still isolated. However, it does not diminish its importance for economic development in the region in which it operates.

Análise De Estrutura De Redes De Inovação: O Caso Do Programa De Inovação Tecnológica (Inovafit)

“…Conforme resultados observados na Tabela 1, a RPSel, sendo uma rede menor, é também menos dispersa, apresentando maior densidade (aproximadamente três vezes maior que na RPSub), chegando em torno de 10% e 11% em 2016 e 2018, respectivamente. Esses valores de densidade podem ser admitidos como medianos ao considerar outros estudos de redes de inovação, sendo próximos aos encontrados por Franco, Câmara e Parente (2017) e Hernández e González (2017), mais bem superiores à densidade de 0,002 (Pereira et al, 2018) e bem inferiores aos valores da ordem de 30% (Barrie;Zawdie;João, 2019;Machado;Ipiranga, 2013). Tal indicativo é importante pois as taxas de transferência e de difusão de recursos, como o conhecimento, são incrementadas em redes mais densas, no caso, a RPSel, sobretudo na Fase 2 do programa.…”

Knowledge network creation methodology selection in project-based organizations

“…The word "characteristics" is used to refer to a special quality or trait that makes a methodology different from others and a KN creation methodology can be used based on such characteristics. The characteristic of any KN creation methodology are discussed as specific features for the representation of a network (Machado and Ipiranga, 2013). Based on Williams and Lee (2009), KN characteristics are defined as KN size (employees), degree of internalization, and age.…”

Capacidade de Inovação em Rede Interorganizacional na Amazônia Brasileira

“…We aim to shed light on the capabilities (or lack of them) for innovation in local organizations and their effectiveness in generating and profiting from innovative processes. Also, the work examines the possibilities and limits of the coordination of these capabilities through the interorganizational network as an arrangement that enables local abilities, and that is often used in the biotechnology sector (Machado & Ipiranga, 2013;Cunha & Melo, 2005;Powell, Koput, & Smith-Doerr, 1996;Najafi-Tavani S., Najafi-Tavani Z., Naudé, Oghazi, & Zeynaloo, 2018).…”