Projetos de pesquisa e desenvolvimento relacionados à adoção de inteligência artificial na cadeia de suprimentos

Autores

DOI:

https://doi.org/10.5585/gep.v15i2.26210

Palavras-chave:

Projetos de P&D, Adoção de Inteligência Artificial, Cadeia de Suprimentos, Cooperação Tecnológica, Fluxos de Conhecimento

Resumo

Este artigo tem como objetivo investigar os determinantes do esforço de inovação das organizações responsáveis por projetos de Pesquisa e Desenvolvimento (P&D), relacionados à adoção de Inteligência Artificial (IA) na Cadeia de Suprimentos (CS) (P&D-IA-CS). Para isso, foram analisadas 4.698 patentes e famílias de patentes como proxys para projetos de P&D-IA-CS bem-sucedidos. As principais organizações responsáveis por projetos de P&D-IA-CS foram multinacionais, especialmente norte-americanas e europeias, com forte domínio tecnológico e cooperação. Descobriu-se que as organizações responsáveis por projetos de P&D-IA-CS mais relevantes são aquelas de natureza tecnológica, com fortes laços com universidades e institutos de pesquisa. Além disso, este estudo constatou que o esforço de inovação de tais organizações é impulsionado positivamente pela cooperação tecnológica, pelo impacto da tecnologia no domínio técnico e pela importância estratégica da tecnologia para as entidades. Por outro lado, os fluxos de conhecimento, tanto patentários quanto científicos, exerceram uma influência negativa sobre o esforço de inovação, indicando que as organizações responsáveis por projetos de P&D-IA-CS tendem a desenvolver tecnologias menos baseadas em conhecimento prévio, priorizando a criação de conhecimento novo para obterem vantagem competitiva e distinção tecnológica.

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Biografia do Autor

Priscila Rezende da Costa, Universidade Nove de Julho - Uninove

Doutora em Administração pela Universidade de São Paulo, FEA USP, 2012. Mestre em Administração pela Universidade de São Paulo, FEA RP USP, 2007. Graduada em Administração pela Universidade Federal de Lavras, UFLA, 2005. Atualmente é diretora do Programa de Pós-graduação em Administração da Universidade Nove de Julho, PPGA UNINOVE. É bolsista produtividade em pesquisa, CNPq - PQ 2, e professora dos cursos de Mestrado e Doutorado em Administração, Linha de Inovação, Empreendedorismo e Negócios Sustentáveis (IEN). Também na UNINOVE é professora do curso de Graduação em Administração, preside o Comitê Local de Acompanhamento e Avaliação (CLAA) do Programa de Educação Tutorial (PET) e atua na coordenação técnica e acadêmica do Programa Escola da Ciência e do Simpósio Internacional de Gestão de Projetos, Inovação e Sustentabilidade (SINGEP). Foi Coordenadora do Curso de Graduação em Administração da UNINOVE, 2010-2014. É editora chefe do International Journal of Innovation (IJI) e editora associada do Innovation & Management Review (IMR). É líder de Grupo de Pesquisa do CNPq, intitulado Estratégia de Inovação, e no âmbito do grupo coordenou projetos de pesquisa financiados pelo CNPq (Projeto CNPq Universal n° 422922/2018-8 e Projeto CNPq Ciências Sociais n° 471875/2014-7) e pela FAPESP (RTI 2019/20222-4). Também participa dos seguintes grupos de pesquisa do CNPq: Inovação e Sustentabilidade (UNINOVE); Núcleo de Estudos da Inovação e Competitividade (NEIC/FEI); e Núcleo de Pesquisas em Inovação, Gestão Empreendedora e Competitividade (INGTEC/USP), atuando no Projeto FAPESP n° 2017/25364-6. Tem experiência na área de Administração e seus principais temas de pesquisa são: capacidades dinâmicas, capacidade relacional, capacidade absortiva, cooperação empresa-universidade-governo, internacionalização da inovação, ecossistemas empreendedores, redes e rotas tecnológicas. Mãe do Gael, esteve de licença maternidade de 08/2021 até 01/2022. 

Adriana de Castro Pires, Universidade Nove de Julho – Uninove

Doutoranda PPGA UNINOVE

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2024-07-11

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Costa, P. R. da, & Pires, A. de C. (2024). Projetos de pesquisa e desenvolvimento relacionados à adoção de inteligência artificial na cadeia de suprimentos. Revista De Gestão E Projetos, 15(2), 354–379. https://doi.org/10.5585/gep.v15i2.26210

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