Redirigiendo al acceso original de articulo en 20 segundos...
ARTÍCULO
TITULO

Patterns of Technological Innovation: A Comparative Analysis between Low-tech and High-tech Industries in Brazil

Eduardo de Oliveira Costa    
José Ednilson Oliveira Cabral    
Sérgio Henrique Arruda Cavalcante Forte    
Maria da Penha Braga Costa    

Resumen

This paper is intended to contribute to the knowledge about the patterns of innovations in different economic sectors. Hence, the general objective is to assess the differences in rates, directions, sources and efforts of innovations between low-tech and high-tech industries in Brazil. The analysis is based on the database of a survey on innovation (PINTEC) conducted by IBGE. The sample includes 8,578 innovative Brazilian companies surveyed from selected low-tech industries (food and textiles manufactures) and high-tech industries (vehicles and electronics industries). Descriptive and factorial correspondence analysis were used to identify the variables regarding rates, directions, sources and efforts of innovation that discriminate the low-tech industries of high-tech. The results confirm that low-tech industries differ from high tech ones in all pattern of innovations dimensions analyzed. Hence, low tech industries, compared to high-tech ones, are less innovative, innovate more in process, have fewer people dedicated to R&D, present suppliers as the most significant source of information and is a larger user of Government funding for the purchase of machinery and equipment. On the other hand, the high-tech industries are more innovative, innovate more in products, have more people dedicated to R&D, search for information of other groups of companies, customers and competitors, and their larger use of public financing is for investing in R&D.

 Artículos similares

       
 
Eun-Seok Lee and Byeong-Seok Shin    
The extended reality (XR) environment demands high-performance computing and data processing capabilities, while requiring continuous technological development to enable a real-time integration between the physical and virtual worlds for user interaction... ver más
Revista: Applied Sciences

 
Alexey N. Beskopylny, Evgenii M. Shcherban?, Sergey A. Stel?makh, Levon R. Mailyan, Besarion Meskhi, Irina Razveeva, Alexey Kozhakin, Diana El?shaeva, Nikita Beskopylny and Gleb Onore    
The creation and training of artificial neural networks with a given accuracy makes it possible to identify patterns and hidden relationships between physical and technological parameters in the production of unique building materials, predict mechanical... ver más
Revista: Applied Sciences

 
Kaixuan Qiu, Kaifeng Fan, Xiaolin Chen, Gang Lei, Shiming Wei, Rahul Navik and Jia Li    
Rapid technological advances have accelerated offshore and onshore tight oil extraction to meet growing energy demand. Reliable tools to carry out production prediction are essential for development of unconventional reservoirs. The existed tri-linear an... ver más

 
Weihua Zhu, Shoudong Wang, Shengli Liu, Libo Yang, Xinrui Zheng, Bohao Li and Lixiao Zhang    
Maritime accidents, such as ship collisions and oil spills, directly affect maritime transportation, pollute the water environment, and indirectly threaten life and property safety. Predicting the maritime accident susceptibility and taking measures in a... ver más

 
Helmut Neuschmied, Martin Winter, Branka Stojanovic, Katharina Hofer-Schmitz, Josip Bo?ic and Ulrike Kleb    
In the face of emerging technological achievements, cyber security remains a significant issue. Despite the new possibilities that arise with such development, these do not come without a drawback. Attackers make use of the new possibilities to take adva... ver más
Revista: Applied Sciences