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Embora o retorno de comportamentos autoritários seja um fenômeno atual, a identidade cultural impositiva brasileira está fortemente associada ao processo de colonização. O modelo escravocrata, instituiu uma imensa disparidade de poder na sociedade. Estabeleceu-se uma forte relação de autoritarismo e hierarquização entre pessoas com poderes praticamente ilimitados – os senhores de engenho e aqueles que não possuíam direitos civis - os escravos. Essa dinâmica de relacionamento foi absorvida pela sociedade e está presente na Administração Pública, desde o patrimonialismo. Este estudo utilizou a análise de conteúdo como metodologia para verificar os artigos publicados após a implementação do modelo gerencial de administração pública em uma revista brasileira especializada. Os resultados indicaram que o autoritarismo e a hierarquização continuam presentes nas organizações estatais após as reformas. O primeiro apresenta características coletivas referentes às categorias ou profissões específicas e o segundo de forma mais individualizada segundo a posição do servidor. Ambos são utilizados principalmente para manutenção de poder e status.
Submetido em: 01/12/2020Aceito em: 23/12/2020

A concorrência impõe às empresas investimentos constantes em melhorias dos seus processos e na oferta de novos produtos aos seus clientes. Terá vantagem competitiva a empresa que conseguir rapidamente perceber as mudanças no meio externo e aprimorar seus processos e produtos. Compreender como a geração e a disseminação do conhecimento é gerada, implementada ou inibida e dificultada podem contribuir para melhores resultados da empresa. Estudos sobre a construção do conhecimento começaram a ser sistematizados por Cohen et al. (1990) e foram aprimorados por Zahra et al. (2002). A dinâmica de todo esse processo é conhecida como Capacidade Absortiva – CA que+ necessita de quatro etapas para que a inovação seja implementada. Reconhecendo que os estudos acadêmicos podem atuar como dinamizadores no processo de desenvolvimento e distribuição do conhecimento, este estudo teve como objetivo verificar as publicações brasileiras sobre CA e regiões geográficas onde o assunto foi desenvolvido. A pesquisa foi realizada em maio de 2020 no repositório de artigos científicos gratuitos da Scientific Periodicals Electronic Library - SPELL. A amostra compreendeu 66 artigos, cujos autores observaram prioritariamente a região Sul do Brasil, e evidenciaram que CA é um tema muito próximo à inovação, capacidade dinâmica, capital intelectual, conhecimento, internacionalização e empresas incubadoras.

Purpose – The purpose of this paper is to critically analyze the influence of the algorithm used on scholarly search engines (Garfield's algorithm) and propose metrics to improve it so that science could be based on a more democratic way. Design/methodology/approach – This paper used a snow-ball approach to collect data that allowed identifying the history and the logic behind the Garfield's algorithm. It follows on excerpting the foundation of existing algorithm and databases of major scholarly search engine. It concluded proposing new metrics so as to surpass restraints and to democratize the scientific discourse. Findings – This paper finds that the studied algorithm currently biases the scientific discourse toward a narrow perspective, while it should take into consideration several researchers' characteristics. It proposes the substitution of the h-index by the number of times the scholar's most cited work has been cited. Finally, it proposes that works in languages different than English should be included. Research limitations/implications – The broad comprehension of any phenomena should be based on multiple perspectives; therefore, the inclusion of diverse metrics will extend the scientific discourse. Practical implications – The improvement of the existing algorithm will increase the chances of contact among different cultures, which stimulate rapid progress on the development of knowledge. Originality/value – The value of this paper residesin demonstrating that the algorithm usedin scholarly search engines biases the development of science. If updated as proposed here, science will be unbiased and bias aware.

Purpose – The purpose of this paper is to critically analyze the influence of the algorithm used on scholarly search engines (Garfield's algorithm) and propose metrics to improve it so that science could be based on a more democratic way. Design/methodology/approach – This paper used a snow-ball approach to collect data that allowed identifying the history and the logic behind the Garfield's algorithm. It follows on excerpting the foundation of existing algorithm and databases of major scholarly search engine. It concluded proposing new metrics so as to surpass restraints and to democratize the scientific discourse. Findings – This paper finds that the studied algorithm currently biases the scientific discourse toward a narrow perspective, while it should take into consideration several researchers' characteristics. It proposes the substitution of the h-index by the number of times the scholar's most cited work has been cited. Finally, it proposes that works in languages different than English should be included. Research limitations/implications – The broad comprehension of any phenomena should be based on multiple perspectives; therefore, the inclusion of diverse metrics will extend the scientific discourse. Practical implications – The improvement of the existing algorithm will increase the chances of contact among different cultures, which stimulate rapid progress on the development of knowledge. Originality/value – The value of this paper residesin demonstrating that the algorithm usedin scholarly search engines biases the development of science. If updated as proposed here, science will be unbiased and bias aware.

PurposeThe purpose of this paper is to critically analyze the influence of the algorithm used on scholarly search engines (Garfield's algorithm) and propose metrics to improve it so that science could be based on a more democratic way.Design/methodology/approachThis paper used a snow-ball approach to collect data that allowed identifying the history and the logic behind the Garfield's algorithm. It follows on excerpting the foundation of existing algorithm and databases of major scholarly search engine. It concluded proposing new metrics so as to surpass restraints and to democratize the scientific discourse.FindingsThis paper finds that the studied algorithm currently biases the scientific discourse toward a narrow perspective, while it should take into consideration several researchers' characteristics. It proposes the substitution of the h-index by the number of times the scholar's most cited work has been cited. Finally, it proposes that works in languages different than English should be included.Research limitations/implicationsThe broad comprehension of any phenomena should be based on multiple perspectives; therefore, the inclusion of diverse metrics will extend the scientific discourse.Practical implicationsThe improvement of the existing algorithm will increase the chances of contact among different cultures, which stimulate rapid progress on the development of knowledge.Originality/valueThe value of this paper resides in demonstrating that the algorithm used in scholarly search engines biases the development of science. If updated as proposed here, science will be unbiased and bias aware.

Abstract Purpose The purpose of this paper is to critically analyze the influence of the algorithm used on scholarly search engines (Garfield's algorithm) and propose metrics to improve it so that science could be based on a more democratic way. Design/methodology/approach This paper used a snow-ball approach to collect data that allowed identifying the history and the logic behind the Garfield's algorithm. It follows on excerpting the foundation of existing algorithm and databases of major scholarly search engine. It concluded proposing new metrics so as to surpass restraints and to democratize the scientific discourse. Findings This paper finds that the studied algorithm currently biases the scientific discourse toward a narrow perspective, while it should take into consideration several researchers' characteristics. It proposes the substitution of the h-index by the number of times the scholar's most cited work has been cited. Finally, it proposes that works in languages different than English should be included. Research limitations/implications The broad comprehension of any phenomena should be based on multiple perspectives; therefore, the inclusion of diverse metrics will extend the scientific discourse. Practical implications The improvement of the existing algorithm will increase the chances of contact among different cultures, which stimulate rapid progress on the development of knowledge. Originality/value The value of this paper resides in demonstrating that the algorithm used in scholarly search engines biases the development of science. If updated as proposed here, science will be unbiased and bias aware.