Projetos de pesquisa e desenvolvimento relacionados à adoção de inteligência artificial na cadeia de suprimentos
DOI:
https://doi.org/10.5585/gep.v15i2.26210Palavras-chave:
Projetos de P&D, Adoção de Inteligência Artificial, Cadeia de Suprimentos, Cooperação Tecnológica, Fluxos de ConhecimentoResumo
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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