Difusão do deep learning através do search trends: uma análise em nível de país
DOI:
https://doi.org/10.24023/FutureJournal/2175-5825/2023.v15i1.695Palavras-chave:
Deep learning, Difusão de inovação, Search trend, Análise em nível de paí, BRICS, Google trendsResumo
Objetivo: A teoria da difusão da inovação é a lente teórica discutida nesta pesquisa para analisar a difusão do tema deep learning nos países BRICS e OCDE. Como pouco foi desenvolvido para compreender a análise em nível de país e um tema como a própria inovação, esta pesquisa buscou preencher essa lacuna.
Originalidade/Valor: Esta pesquisa demonstra como é possível utilizar o Search Trends para analisar a difusão de uma temática, possibilitando a extensão da teoria da difusão da inovação para além da venda de produtos.
Métodos: O Google Trends foi usado para coletar dados e fornecer informações atualizadas e dois modelos estatísticos diferentes foram utilizados: clustering para identificar padrões na primeira análise, e o modelo de difusão de Bass, visando comparar países considerando o pico da curva, o coeficiente de inovação, e o coeficiente de imitação.
Resultados: Os achados desta pesquisa identificaram que a China é o país com maior coeficiente de inovação entre os membros do BRICS, e o Japão entre os membros da OCDE.
Conclusões: Este estudo trouxe tanto uma contribuição teórica, permitindo a ampliação da difusão de inovações que utilizam um tema como objeto de inovação, quanto uma implicação prática, possibilitando pesquisas de forma acessível e democrática.
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