O uso de programação baseada em agentes no estudo da dinâmica da transferência de conhecimento em redes de empresas

• Ano de defesa: 2018
• Autor(a) principal: Carvalho, Fábio Câmara Araújo de
• Orientador(a): Figueiredo, Júlio César Bastos de
• Banca de defesa: Turolla, Frederico Araújo, Ogasavara, Mario Henrique, Moraes, Edmilson Alves de, Bernardes, Roberto Carlos
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Escola Superior de Propaganda e Marketing
• Programa de Pós-Graduação: Programa de Doutorado em Administração com Concentração em Gestão Internacional
• Departamento: ESPM::Pós-Graduação Stricto Sensu
• País: Brasil
• Palavras-chave em Português: redes empresariais; transferência de conhecimento; capacidades absortivas; modelagem baseada em agentes; netlogo; inovação
• Palavras-chave em Inglês: enterprise networks; knowledge transfer; absorptive capacity; agent-based modeling; netlogo; innovation
• Área do conhecimento CNPq: CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO
• Link de acesso: http://tede2.espm.br/handle/tede/475

This research aimed to model the dynamics of knowledge production and the formation and maintenance of business networks based on the theory of the absorptive capacities, using a computational model based on an agent programming approach that allowed to analyze the behavior of network companies from the probability of collaboration between them, to comprehend the dynamics of the business network for different rates of obsolescence of knowledge and to understand the influence of internal and external absorption capacities of the companies in the formation and maintenance of business networks. As a result, among the 128 simulated scenarios, in 75% of the cases, companies establish themselves in networks that remain stable, while in 25% of the scenarios, firms disappear by combining the high obsolescence of knowledge and the time typically invested in the absorption of knowledge. As a contribution, this work advances methodologically in the understanding of the dynamics of knowledge transfer in business networks, highlighting the need for greater investment in the internal absorptive capacity for better use of external knowledge and absorption exchanges.