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Digital Transformation and Brazilian Agribusiness: An Analysis of Knowledge Management in the Sector

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Knowledge, People, and Digital Transformation

Abstract

Smart farming is the application of digital transformation technologies in agribusiness. Big Data, IoT, robotics, nanotechnology, and artificial intelligence have brought new scenarios to productivity in this sector. The introduction of such innovations, however, requires new human, structural, and operational capacities. In this study, these factors are analyzed by knowledge management (KM). We adapted the questionnaire proposed by APO (Knowledge management: facilitators guide. Tokyo; 2009), to evaluate the KM in the Brazilian agribusiness sector, delimiting four main dimensions: Leadership, People, Processes, and Technology. The questionnaire was validated with 11 experts, and we performed a pretest with 5 from poultry farms. The data were collected from 240 managers from poultry farms. The results reveal that KM practices are known to livestock sector managers of the Brazilian poultry industry, but are implemented in isolation, either without leadership, strategic management or with neither of the two. The People dimension presented the lowest KM average and shows a dependency on external technical assistance. The dimension Process has the highest KM average, confirming previous work about the agility, quality, and innovative capacity of the Brazilian poultry sector. The results indicate that, in order to introduce smart factoring, Brazilian agribusiness need more investment in farmer’s schooling, partnerships to share knowledge with stakeholders, and the introduction of new technologies based on KM practices.

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Mônica da Silva Zanuzzi, C., Selig, P.M., dos Santos Pacheco, R.C., Tonial, G. (2020). Digital Transformation and Brazilian Agribusiness: An Analysis of Knowledge Management in the Sector. In: Matos, F., Vairinhos, V., Salavisa, I., Edvinsson, L., Massaro, M. (eds) Knowledge, People, and Digital Transformation. Contributions to Management Science. Springer, Cham. https://doi.org/10.1007/978-3-030-40390-4_7

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