Level of complexity of the search for sources of information to innovate the Brazilian Industry using the Social Network Analysis

Authors

  • Bruno Ferreira de Oliveira Universidade Cândido Mendes (UCAM) https://orcid.org/0000-0002-8456-9805
  • Felipe Ponciano da Cruz UNIVERSIDADE DO ESTADO DO RIO DE JANEIRO (UERJ)
  • Enzo Matheus Fernandez Barreira Accioly UNIVERSIDADE FEDERAL DO RIO DE JANEIRO (UFRJ)

Abstract

This paper aims to verify the evolution of the search for Sources of Information to Innovation (FIIs) by Brazil´s manufacturing industry, using PINTEC´s data from 2008 to 2017. The Social Network Analysis (ARS) was used to build an interaction network between industrial sectors and FIIs. It sought to verify the existence of concentration in certain industrial sectors and learning forms. The results demonstrate that the network presents increasing relational activity; however, the industrial sectors do not follow the pattern of learning expected by the bibliography and those that do follow are associated with sectors of low technological intensity. In addition, FII's considered central to the network are associated with forms of learning related to tacit knowledge, while peripherals are associated with codified knowledge.

Published

2022-09-02

Issue

Vol. 31 No. 2 (2022): Economia e Sociedade

Section

Articles

License

Authors who publish in this journal agree to the following terms: Authors retain copyright and grant the journal the right of first publication, with the work simultaneously licensed under a Creative Commons Attribution License, which allows the sharing of the work with acknowledgment of authorship and initial publication in this journal. Authors are authorized to enter into additional contracts separately for the non-exclusive distribution of the version of the work published in this journal (e.g., publish in an institutional repository or as a book chapter), with acknowledgment of authorship and initial publication in this journal. All content of the journal, except where identified, is licensed under a Creative Commons Attribution BY-NC License.