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.

Highlights

  • There are times that the production of innovations ceased to be viewed as a linear process, exogenous and predictable based on the economy

  • Their research shows how the latter may differ in terms of type of activity, field of knowledge, type of innovation, region or sponsor country, company size, organizational strategy and, especially, the category of industry and economy in which it develops

  • Given the scarcity of studies focusing on the formation and updating of innovation networks within this sector, our research aims to identify and understand elements and processes that interfere with the development and dissemination of new technologies

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Summary

Introduction

There are times that the production of innovations ceased to be viewed as a linear process, exogenous and predictable based on the economy. Given the scarcity of studies focusing on the formation and updating of innovation networks within this sector, our research aims to identify and understand elements and processes that interfere with the development and dissemination of new technologies This is due to the fact that a vast majority of studies only focus on networks composed of biotech companies. It is expected that the focus and approach chosen for this study will contribute to a greater understanding of the role of knowledge networks for the development of innovations within www.anpad.org.br/rac the biotechnology sector, encouraging the production of more research in this area, which is still insufficient Such an effort aims to enable the future development of strategic models for the management of these new technologies, fostering economic and social development of the regions where they are located

The Process of Developing Innovations
Main Typologies of Social Networks
Mesh or plot Web
Innovations in Biotechnology Networks
Methodological Aspects
Degree of proximity
Presentation and Analysis of the Results
Number of patents
Institution and researcher networks
Active nodes
Research areas and potential markets
Results discussion
Final Considerations

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