ABSTRACT Objectives: The central objective of this paper is to propose and test a model for the development of network governance structures to respond to the silo effect in the innovation management process in a large research organization. Method: A case study was used with the objective of building a governance model that could address the problems derived from the silo effect. To achieve the objective, validation workshops were held, with teams being challenged to reflect on the mechanisms and basic rules used to assemble the model. Results: The efforts made to inhibit the silo effect in the organization investigated were successful. Internal events were held to exchange knowledge between research centers, which resulted in greater stimulation of connections between these and other actors throughout the innovation ecosystem. Conclusions: The governance model adopted to mitigate the problems derived from the silo effect proved to be effective in promoting interaction between research centers on issues related to open innovation. The model, supported by mechanisms and basic rules inserted in the key actions, proved to be efficient in promoting a more intense relationship between the research units of the institution studied, resulting in new network actions. Objectives Method Results successful ecosystem Conclusions actions studied

RESUMEN Objetivos: Este trabajo tiene como objetivo central proponer y testear un modelo para el desarrollo de las estructuras de gobernanza en red, para dar respuesta al efecto silo en el proceso de gestión de la innovación en una organización pública de investigación. Método: Fue utilizado un estudio de caso en una gran institución de investigación, con el objetivo de construir un modelo de gobernanza que pudiera abordar los problemas derivados del efecto silo. Para lograr el objetivo, han sido realizados talleres de validación con equipos que tenían el trabajo de reflexionar sobre los mecanismos y las reglas básicas que forman parte del constructo. Resultados: Los esfuerzos realizados para inhibir el efecto silo en la organización investigada surtieron efecto. Se realizaron eventos internos para intercambiar conocimiento entre centros de investigación, lo que resultó en un mayor estímulo de las conexiones entre estos y otros actores del ecosistema de innovación. Conclusiones: El modelo de gobernanza adoptado para mitigar los problemas derivados del efecto silo demostró ser eficaz para fomentar la interacción entre los centros de investigación en temas relacionados con la innovación abierta. El modelo, apoyado en mecanismos y reglas básicas contenidas en las acciones clave, demostró ser eficiente para promover una relación más intensa entre las unidades de investigación de la institución estudiada, resultando en nuevas acciones en red. Objetivos red Método constructo Resultados Conclusiones abierta clave estudiada

Resumo Os computadores quânticos usam as propriedades da física quântica para realizar operações de armazenamento e processamento de informações. A operação desses computadores envolve conceitos como emaranhamento e superposição, que os dotam de grande poder de processamento que supera até mesmo o dos mais poderosos supercomputadores atuais, consumindo quantidades significativamente menores de energia. Os diferentes estudos analisados neste artigo de revisão sugerem que a computação quântica terá impacto profundo em áreas como finanças, logística, transporte, tecnologia espacial e automotiva, ciência dos materiais, energia, indústria farmacêutica e de saúde, segurança cibernética e agricultura. Na agricultura digital, foram identificadas e exemplificadas várias aplicações que poderiam ser executadas de forma mais eficiente em computadores quânticos para processamento de dados e compreensão de processos biológicos. Essas aplicações são agrupadas aqui nas quatro seguintes áreas: bioinformática, sensoriamento remoto, modelagem climática e agricultura inteligente. Este artigo também explora a importância estratégica do domínio da computação quântica, destaca algumas vantagens em relação à computação clássica e apresenta um mapeamento dos serviços já disponíveis, o que permitirá que instituições empreendam um planejamento estratégico para incorporar a computação quântica em seus processos de desenvolvimento. Por fim, são destacados os desafios para a implementação da computação quântica, juntamente com algumas iniciativas em andamento que visam aprofundar a pesquisa na vanguarda do conhecimento nesta área aplicada à agricultura digital. informações superposição atuais energia finanças logística transporte automotiva materiais saúde digital biológicos bioinformática remoto inteligente disponíveis desenvolvimento fim

Abstract Quantum computers use the properties of quantum physics to perform information storage and processing operations. The operation of these computers involves concepts such as entanglement and superposition, which endow them with a great processing power that even surpasses that of the most powerful current supercomputers, while consuming significantly lower amounts of energy. The different studies analyzed in this review article suggest that quantum computing will have a deep impact in areas such as finance, logistics, transportation, space and automotive technology, materials science, energy, pharmaceutical and healthcare industry, cybersecurity, and agriculture. In digital agriculture, several applications that could be executed more efficiently in quantum computers for data processing and understanding of biological processes were identified and exemplified. These applications are grouped here into the following four areas: bioinformatics, remote sensing, climate modeling, and smart farming. This article also explores the strategic importance of mastering quantum computing, highlights some advantages in relation to classical computing, and presents a mapping of the services already available, enabling institutions to undertake strategic planning for the incorporation of quantum computing into their development processes. Finally, the challenges for the implementation of quantum computing are highlighted, along with some ongoing initiatives aimed at furthering research at the forefront of knowledge in this area applied to digital agriculture. operations superposition supercomputers energy finance logistics transportation technology science industry cybersecurity agriculture exemplified bioinformatics sensing modeling farming available Finally highlighted

This case-study article presents the results from a morphology analysis of a knowledge and information network, focusing on the coordination mechanisms employed to generate a convergent arrangement. Agritempo was the first information system to offer (in 2003) free access to a broad range of agrometeorological data comprising all the Brazilian territory, representing an important technological innovation to the agricultural sector. To study this phenomenon an analytical framework of the Techno-Economic Network (TEN) and concepts from the Innovation Sociology field was employed. Results indicate that the durability of this arrangement - from 2003 to 2014 - can be explained by the effectiveness of the coordination strategies established in the network such as: trust based relationships; institutional and individual leadership actions; contracting; software applications and shared common working procedures.