Analysis of the Acquisition Mechanisms and Conversion of Knowledge to the Technological Capacity Accumulation in Brazilian Capital Goods

Marcelo Seido Nagano; Antonio Iacono; Tiago Fernando Musetti

doi:10.5020/2318-0722.2025.31.e15000

Autores

Marcelo Seido Nagano Universidade de São Paulo, São Carlos, São Paulo, Brasil https://orcid.org/0000-0002-0239-1725
Antonio Iacono Universidade de São Paulo, Lorena, São Paulo, Brasil https://orcid.org/0000-0003-3369-0362
Tiago Fernando Musetti Universidade de São Paulo, São Carlos, São Paulo, Brasil https://orcid.org/0000-0001-9775-5802

DOI:

https://doi.org/10.5020/2318-0722.2025.31.e15000

Palavras-chave:

aprendizagem tecnológica, capacidade tecnológica, aquisição de conhecimento, conversão de conhecimento, análise de correspondência

Resumo

Este artigo tem como objetivo analisar os processos de aprendizagem e identificar os mecanismos de aquisição e conversão de conhecimento que contribuem significativamente para o processo de acumulação de capacidade tecnológica. Para alcançar esses objetivos, foi realizado um estudo exploratório com 44 empresas do setor de bens de capital mecânicos no Brasil. A contribuição dos mecanismos de aquisição e conversão de conhecimento foi avaliada por meio do Índice de Capacidade Tecnológica (ICT), análise de correspondência e regressão linear múltipla com seleção stepwise. Os resultados indicam níveis variados de influência entre os mecanismos; mostram que, embora tais mecanismos estejam presentes, eles variam em intensidade e contribuição, refletindo diferenças na acumulação de capacidades tecnológicas ao longo do tempo. Iniciativas relacionadas à expansão da capacidade de produção, capacitação em técnicas de produção e processos e sistemas de qualidade estão associadas positivamente ao ICT, indicando um engajamento organizacional mais forte na melhoria de processos. No entanto, observam-se interação limitada com fontes externas de conhecimento, baixos níveis de compartilhamento de conhecimento e um grau reduzido de recombinação de conhecimento codificado. Esses achados destacam a importância de gerenciar eficazmente múltiplos mecanismos de aprendizagem, uma vez que eles influenciam diretamente o ritmo e a trajetória da acumulação de capacidade tecnológica nas firmas.

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Biografia do Autor

Marcelo Seido Nagano, Universidade de São Paulo, São Carlos, São Paulo, Brasil

Mestre e Doutor em Engenharia Mecânica pela Escola de Engenharia de São Carlos da Universidade de São Paulo, Pós-doutor em Matemática e Computação Aplicada pelo Laboratório Associado de Computação e Matemática Aplicada do Instituto Nacional de Pesquisas Espaciais. Atualmente é Pesquisador e Bolsista de Produtividade e Pesquisa do CNPq (1-B), e editor chefe de revistas internacionais: Technology audit and production reserves - TAPR (ISSN: 2664-9969) e Journal of Engineering and Computer Innovations - JECI (ISSN: 2141-6508).

Antonio Iacono, Universidade de São Paulo, Lorena, São Paulo, Brasil

Professor Doutor da Escola de Engenharia de Lorena da Universidade de São Paulo. Mestre e Doutor em Engenharia de Produção pela Universidade de São Paulo e Graduado em Engenharia Mecânica pela Universidade Federal de Itajubá.

Tiago Fernando Musetti, Universidade de São Paulo, São Carlos, São Paulo, Brasil

Graduado em Economia pela Universidade de Araraquara (UNIARA). Pós-Graduado em Gestão Empresarial pela Universidade de Araraquara (UNIARA). Pós-Graduado em Engenharia Urbana. Mestre em Engenharia de Produção pela Escola de Engenharia de São Carlos, da Universidade de São Paulo (EESC/USP). Doutor em Engenharia de Produção pelo Departamento de Engenharia de Produção, da Universidade Federal de São Carlos (DEP/UFSCar). Pós-Doutor em Engenharia de Produção pela Escola de Engenharia de São Carlos, da Universidade de São Paulo (EESC/USP).

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