Suchergebnisse

Si bien el retorno del comportamiento autoritario es un fenómeno actual, la identidad cultural imponente brasileña está fuertemente asociada al proceso de colonización. El modelo esclavista instituyó una inmensa disparidad de poder en la sociedad. Se estableció una fuerte relación de autoritarismo y jerarquía entre personas con poderes prácticamente ilimitados, los hacendados y los que no tenían derechos civiles, los esclavos. Esta dinámica de relación fue absorbida por la sociedad y ha estado presente en la Administración Pública, desde el patrimonialismo. Este estudio utilizó el análisis de contenido como metodología para verificar los artículos publicados luego de la implementación del modelo de gestión de la administración pública en una revista brasileña especializada. Los resultados indicaron que el autoritarismo y la jerarquización siguen presentes en las organizaciones estatales después de las reformas. El primero presenta características colectivas referentes a categorías o profesiones específicas y el segundo más individualmente según la posición del servidor. Ambos se utilizan principalmente para mantener el poder y el estado.

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.

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.

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.