Innovation models: bibliometric analysis of scientific production
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Brazilian Journal of Information Science |
Texto Completo: | https://revistas.marilia.unesp.br/index.php/bjis/article/view/10957 |
Resumo: | The present study aimed to identify the number of publications, authors and most productive institutions, most cited documents, journals that publish the most on the topic, and keywords most used in scientific articles that deal with innovation models. The study was carried out in 1,538 articles retrieved from the Scopus database based on the search for the term “innovation models” in the title, abstract and keywords fields, without any time frame. The results show that there is a growing trend in the number of publications on this topic, having identified Zi-Li Deng as the author with the greatest impact. In addition, the article “Open for innovation: the role of openness in explaining innovation performance among U.K. manufacturing firms”, by Laursen, K and Salter, A, emerged as the most cited among the identified documents. Among the journals, Technological Forecasting and Social Change magazine presented the largest number of articles on the topic. The United States shows itself to be the country with the largest share in the number of articles and Delft University of Technology, located in the Netherlands, is the most productive institution. As for keywords, the terms management, innovation adoption and strategy were those with the highest semantic content. The use of bibliometric techniques proved to be adequate to identify the essential characteristics of scientific production on models of innovation. The study can be adopted as a decision-making tool for researchers, since it provides the main journals, authors and indexing terms on models of innovation. |
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Innovation models: bibliometric analysis of scientific productionModelos de innovación: análisis bibliométrico de la producción científicaModelos de inovação: análise bibliométrica da produção científicaInnovation modelsBibliometricsScopusScientific productionModelos de innovaciónBibliometríaScopusProducción científicaModelos de inovaçãoBibliometriaScopusProdução científicaThe present study aimed to identify the number of publications, authors and most productive institutions, most cited documents, journals that publish the most on the topic, and keywords most used in scientific articles that deal with innovation models. The study was carried out in 1,538 articles retrieved from the Scopus database based on the search for the term “innovation models” in the title, abstract and keywords fields, without any time frame. The results show that there is a growing trend in the number of publications on this topic, having identified Zi-Li Deng as the author with the greatest impact. In addition, the article “Open for innovation: the role of openness in explaining innovation performance among U.K. manufacturing firms”, by Laursen, K and Salter, A, emerged as the most cited among the identified documents. Among the journals, Technological Forecasting and Social Change magazine presented the largest number of articles on the topic. The United States shows itself to be the country with the largest share in the number of articles and Delft University of Technology, located in the Netherlands, is the most productive institution. As for keywords, the terms management, innovation adoption and strategy were those with the highest semantic content. The use of bibliometric techniques proved to be adequate to identify the essential characteristics of scientific production on models of innovation. The study can be adopted as a decision-making tool for researchers, since it provides the main journals, authors and indexing terms on models of innovation.El presente estudio tuvo como objetivo identificar el número de publicaciones, autores e instituciones más productivas, documentos más citados, revistas que más publican sobre el tema y palabras clave más utilizadas en artículos científicos que abordan modelos de innovación. El estudio se realizó en 1.538 artículos recuperados de la base de datos Scopus a partir de la búsqueda del término “innovation models” en los campos de título, resumen y palabras clave, sin ningún marco temporal. Los resultados muestran que existe una tendencia creciente en el número de publicaciones sobre este tema, habiendo identificado a Zi-Li Deng como el autor de mayor impacto. Además, el artículo “Open for innovation: the role of openness in explaining innovation performance among U.K. manufacturing firms”, de Laursen, K y Salter, A, surgió como el más citado entre los documentos identificados. Entre las revistas, la revista Technological Forecasting and Social Change presentó la mayor cantidad de artículos sobre el tema. Estados Unidos se muestra como el país con mayor participación en el número de artículos y la Universidad Tecnológica de Delft, ubicada en los Países Bajos, es la institución más productiva. En cuanto a las palabras clave, los términos management, innovation adoption y strategy fueron los de mayor contenido semántico.O presente estudo teve como objetivo identificar a quantidade de publicações, autores e instituições mais produtivos, documentos mais citados, periódicos que mais publicam sobre o tema e, palavras-chave mais empregadas em artigos científicos que tratam de modelos de inovação. O estudo foi realizado em 1.538 artigos recuperados da base de dados Scopus a partir de busca pelo termo “modelos de inovação” nos campos título, resumo e palavras-chaves, sem qualquer recorte temporal. Os resultados mostram que há uma tendência de crescimento na quantidade de publicações sobre este tema, tendo identificado Zi-Li Deng como o autor de maior impacto. Além disto, o artigo Open for innovation: the role of openness in explaining innovation performance among U.K. manufacturing firms, de Laursen, K e Salter, A, despontou como o mais citado entre os documentos identificados. Entre os periódicos, a revista Technological Forecasting and Social Change apresentou o maior número de artigos com o tema. Os Estados Unidos mostraram ser o país com a maior participação no número de artigos e a Delft University of Technology, localizada na Holanda, é a instituição mais produtiva. Quanto às palavras-chave, os termos management, innovation adoption e strategy foram aqueles de maior conteúdo semântico. O emprego de técnicas de bibliometria mostrou-se adequado para identificar as características essenciais da produção científica sobre modelos de inovação. O estudo pode ser adotado como ferramenta de tomada de decisão para pesquisadores, visto que fornece principais periódicos, autores e termos indexadores sobre modelos de inovação. Faculdade de Filosofia e Ciências2021-05-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.marilia.unesp.br/index.php/bjis/article/view/1095710.36311/1981-1640.2021.v15.e02106Brazilian Journal of Information Science: Research Trends; Vol. 15 (2021): continuous publication ; e02106Brazilian Journal of Information Science: Research Trends; Vol. 15 (2021): Publicación continua; e02106Brazilian Journal of Information Science: research trends; v. 15 (2021): Publicação contínua; e021061981-1640reponame:Brazilian Journal of Information Scienceinstname:Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)instacron:UNESPporhttps://revistas.marilia.unesp.br/index.php/bjis/article/view/10957/7183Copyright (c) 2021 André José Ribeiro Guimarães, Paulo Sergio da Conceição Moreira, Cicero Aparecido Bezerrra, Drhttps://creativecommons.org/licenses/by-sa/4.0info:eu-repo/semantics/openAccessGuimarães, André José RibeiroMoreira, Paulo Sergio da ConceiçãoBezerrra, Cicero Aparecido2021-05-13T14:26:35Zoai:ojs.revistas.marilia.unesp.br:article/10957Revistahttps://revistas.marilia.unesp.br/index.php/bjis/indexPUBhttps://revistas.marilia.unesp.br/index.php/bjis/oaibrajis.marilia@unesp.br||1981-16401981-1640opendoar:2021-05-13T14:26:35Brazilian Journal of Information Science - Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)false |
dc.title.none.fl_str_mv |
Innovation models: bibliometric analysis of scientific production Modelos de innovación: análisis bibliométrico de la producción científica Modelos de inovação: análise bibliométrica da produção científica |
title |
Innovation models: bibliometric analysis of scientific production |
spellingShingle |
Innovation models: bibliometric analysis of scientific production Guimarães, André José Ribeiro Innovation models Bibliometrics Scopus Scientific production Modelos de innovación Bibliometría Scopus Producción científica Modelos de inovação Bibliometria Scopus Produção científica |
title_short |
Innovation models: bibliometric analysis of scientific production |
title_full |
Innovation models: bibliometric analysis of scientific production |
title_fullStr |
Innovation models: bibliometric analysis of scientific production |
title_full_unstemmed |
Innovation models: bibliometric analysis of scientific production |
title_sort |
Innovation models: bibliometric analysis of scientific production |
author |
Guimarães, André José Ribeiro |
author_facet |
Guimarães, André José Ribeiro Moreira, Paulo Sergio da Conceição Bezerrra, Cicero Aparecido |
author_role |
author |
author2 |
Moreira, Paulo Sergio da Conceição Bezerrra, Cicero Aparecido |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Guimarães, André José Ribeiro Moreira, Paulo Sergio da Conceição Bezerrra, Cicero Aparecido |
dc.subject.por.fl_str_mv |
Innovation models Bibliometrics Scopus Scientific production Modelos de innovación Bibliometría Scopus Producción científica Modelos de inovação Bibliometria Scopus Produção científica |
topic |
Innovation models Bibliometrics Scopus Scientific production Modelos de innovación Bibliometría Scopus Producción científica Modelos de inovação Bibliometria Scopus Produção científica |
description |
The present study aimed to identify the number of publications, authors and most productive institutions, most cited documents, journals that publish the most on the topic, and keywords most used in scientific articles that deal with innovation models. The study was carried out in 1,538 articles retrieved from the Scopus database based on the search for the term “innovation models” in the title, abstract and keywords fields, without any time frame. The results show that there is a growing trend in the number of publications on this topic, having identified Zi-Li Deng as the author with the greatest impact. In addition, the article “Open for innovation: the role of openness in explaining innovation performance among U.K. manufacturing firms”, by Laursen, K and Salter, A, emerged as the most cited among the identified documents. Among the journals, Technological Forecasting and Social Change magazine presented the largest number of articles on the topic. The United States shows itself to be the country with the largest share in the number of articles and Delft University of Technology, located in the Netherlands, is the most productive institution. As for keywords, the terms management, innovation adoption and strategy were those with the highest semantic content. The use of bibliometric techniques proved to be adequate to identify the essential characteristics of scientific production on models of innovation. The study can be adopted as a decision-making tool for researchers, since it provides the main journals, authors and indexing terms on models of innovation. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-05-04 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://revistas.marilia.unesp.br/index.php/bjis/article/view/10957 10.36311/1981-1640.2021.v15.e02106 |
url |
https://revistas.marilia.unesp.br/index.php/bjis/article/view/10957 |
identifier_str_mv |
10.36311/1981-1640.2021.v15.e02106 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://revistas.marilia.unesp.br/index.php/bjis/article/view/10957/7183 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by-sa/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-sa/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Faculdade de Filosofia e Ciências |
publisher.none.fl_str_mv |
Faculdade de Filosofia e Ciências |
dc.source.none.fl_str_mv |
Brazilian Journal of Information Science: Research Trends; Vol. 15 (2021): continuous publication ; e02106 Brazilian Journal of Information Science: Research Trends; Vol. 15 (2021): Publicación continua; e02106 Brazilian Journal of Information Science: research trends; v. 15 (2021): Publicação contínua; e02106 1981-1640 reponame:Brazilian Journal of Information Science instname:Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Brazilian Journal of Information Science |
collection |
Brazilian Journal of Information Science |
repository.name.fl_str_mv |
Brazilian Journal of Information Science - Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP) |
repository.mail.fl_str_mv |
brajis.marilia@unesp.br|| |
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1797069098919657472 |