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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Interorganizational innovation networks of Brazilian and Spanish biotechnology companies: Dynamic comparative analysis

Texto completo
Autor(es):
Gomes, Ricardo Cruz [1] ; Ribeiro Galina, Simone Vasconcelos [1] ; do Prado Vicentin, Flavia Oliveira [1] ; Porto, Geciane Silveira [1]
Número total de Autores: 4
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Sch Econ Business & Accountancy Ribeirao Preto, Bandeirantes 3900, BR-14040905 Ribeirao Preto, SP - Brazil
Número total de Afiliações: 1
Tipo de documento: Artigo Científico
Fonte: INTERNATIONAL JOURNAL OF ENGINEERING BUSINESS MANAGEMENT; v. 9, NOV 17 2017.
Citações Web of Science: 2
Resumo

This study has the purpose of conducting a dynamic comparative analysis of interorganizational innovation networks of Brazilian and Spanish biotechnology companies. It aims to explore the differences between the network characteristics and their actors' positions and types as well as to analyze the temporal evolution of these networks. Although analyses of the evolution of networks are relevant in supporting comprehension of paths for innovation, they are incipient, particularly as cross-country studies. Considering that, this comparison between Brazil and Spain, which are at different levels of biotechnology development, may contribute to the advancement of this area. Social network analysis techniques are employed to draw and measure the network characteristics constructed under the information of patent applications by biotechnology companies located in Brazil and Spain in the period of 1990-2012. The results demonstrate an impressive growth of innovation networks from both countries but show an inferior position for Brazilian data in terms of constancy, volume of partnerships, partner diversity, and main actor types. Thus, this article reveals patterns of evolution over time for each country, which allows for the determination of the implications for public policy and managerial experts. (AU)

Processo FAPESP: 12/22686-9 - Identificação de tecnologias promissoras: uma aplicação para as tecnologias verdes
Beneficiário:Geciane Silveira Porto
Modalidade de apoio: Auxílio à Pesquisa - Regular