Innovation models: bibliometric analysis of scientific production

Detalhes bibliográficos
Autor(a) principal: Guimarães, André José Ribeiro
Data de Publicação: 2021
Outros Autores: Moreira, Paulo Sergio da Conceição, Bezerrra, Cicero Aparecido
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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spelling 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.www2.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
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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
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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)
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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)
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