Analysis of Potential on Management Technology Based on Social Media Data and Trends
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Cadernos de Prospecção (Online) |
Texto Completo: | https://periodicos.ufba.br/index.php/nit/article/view/32953 |
Resumo: | This paper is an analysis of management technology based on social media data and trends. Companies has been using data analytics technologies from social media platforms to enhance their production and improve relationships with users (customers). The research methodology used was a research trend, measured by production of scientific articles, linked with the patent registration analysis. Main research presents details collected on Web of Science (articles) and Espacenet (patents) databases, in complement this research presents suggestion forwarding for similar future papers, following databases: Espacenet, Patentscope, Web of Science and Google Scholar were used. Results revealed that the technology in question is in advanced level of development, consolidated, but constantly updated because data and technology-related actors are constantly changing. |
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Analysis of Potential on Management Technology Based on Social Media Data and Trends Análise de Potencial em Tecnologia de Gestão Baseada em Dados de Mídias Sociais e Tendências – TRENDS Mídias SociaisProspecção TecnológicaTrends.Social mediaTechnological ForesightTrends.This paper is an analysis of management technology based on social media data and trends. Companies has been using data analytics technologies from social media platforms to enhance their production and improve relationships with users (customers). The research methodology used was a research trend, measured by production of scientific articles, linked with the patent registration analysis. Main research presents details collected on Web of Science (articles) and Espacenet (patents) databases, in complement this research presents suggestion forwarding for similar future papers, following databases: Espacenet, Patentscope, Web of Science and Google Scholar were used. Results revealed that the technology in question is in advanced level of development, consolidated, but constantly updated because data and technology-related actors are constantly changing.O presente artigo trata-se de análise acerca de tecnologias de gestão baseada em dados de mídias sociais e tendências – trends. O meio empresarial vem utilizando tecnologias de análises de dados oriundos das plataformas de mídias sociais a fim de aprimorar sua produção e melhorar a relação com os usuários (clientes). Utilizou-se como metodologia a tendência de pesquisa, medida pela produção de artigos científicos, em conjunto com a análise de registro de patentes. A busca principal apresenta detalhes coletados junto às bases Web of Science (artigos) e Espacenet (patentes) e em um complemento de pesquisa com encaminhamento de sugestão para trabalhos semelhantes futuros pesquisou-se nas bases: Espacenet e Patentscope, Web of Science e Google Acadêmico. Os resultados revelaram que a tecnologia em questão se encontra em nível avançado de desenvolvimento, consolidada, mas em constante atualização, em virtude dos dados e de os atores identificados relacionados à tecnologia estarem em constante modificação. Universidade Federal da Bahia2019-12-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufba.br/index.php/nit/article/view/3295310.9771/cp.v12i5.32953Cadernos de Prospecção; Vol. 12 No. 5 (2019): Edição Especial - IX ProspeCT&I 2019 - Congresso Internacional do PROFNIT/FORTEC; 1421Cadernos de Prospecção; v. 12 n. 5 (2019): Edição Especial - IX ProspeCT&I 2019 - Congresso Internacional do PROFNIT/FORTEC; 14212317-00261983-1358reponame:Cadernos de Prospecção (Online)instname:Universidade Federal da Bahia (UFBA)instacron:UFBAporhttps://periodicos.ufba.br/index.php/nit/article/view/32953/20678Copyright (c) 2020 Cadernos de Prospecçãohttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessRaymundo, Fabrício de AndradeFerreira, Eduardo AntonioCarvalho, Sônia Marise SallesCruz, Tânia CristinaSantos, Leila Fernandes dosSilva, Marcio Lima da2022-03-03T12:34:43Zoai:ojs.periodicos.ufba.br:article/32953Revistahttps://periodicos.ufba.br/index.php/nitPUBhttps://periodicos.ufba.br/index.php/nit/oaicadernosdeprospeccao@gmail.com || maliceribeiro@yahoo.com.br || cadernosdeprospeccao@gmail.com || saionaraluna@gmail.com2317-00261983-1358opendoar:2022-03-03T12:34:43Cadernos de Prospecção (Online) - Universidade Federal da Bahia (UFBA)false |
dc.title.none.fl_str_mv |
Analysis of Potential on Management Technology Based on Social Media Data and Trends Análise de Potencial em Tecnologia de Gestão Baseada em Dados de Mídias Sociais e Tendências – TRENDS |
title |
Analysis of Potential on Management Technology Based on Social Media Data and Trends |
spellingShingle |
Analysis of Potential on Management Technology Based on Social Media Data and Trends Raymundo, Fabrício de Andrade Mídias Sociais Prospecção Tecnológica Trends. Social media Technological Foresight Trends. |
title_short |
Analysis of Potential on Management Technology Based on Social Media Data and Trends |
title_full |
Analysis of Potential on Management Technology Based on Social Media Data and Trends |
title_fullStr |
Analysis of Potential on Management Technology Based on Social Media Data and Trends |
title_full_unstemmed |
Analysis of Potential on Management Technology Based on Social Media Data and Trends |
title_sort |
Analysis of Potential on Management Technology Based on Social Media Data and Trends |
author |
Raymundo, Fabrício de Andrade |
author_facet |
Raymundo, Fabrício de Andrade Ferreira, Eduardo Antonio Carvalho, Sônia Marise Salles Cruz, Tânia Cristina Santos, Leila Fernandes dos Silva, Marcio Lima da |
author_role |
author |
author2 |
Ferreira, Eduardo Antonio Carvalho, Sônia Marise Salles Cruz, Tânia Cristina Santos, Leila Fernandes dos Silva, Marcio Lima da |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Raymundo, Fabrício de Andrade Ferreira, Eduardo Antonio Carvalho, Sônia Marise Salles Cruz, Tânia Cristina Santos, Leila Fernandes dos Silva, Marcio Lima da |
dc.subject.por.fl_str_mv |
Mídias Sociais Prospecção Tecnológica Trends. Social media Technological Foresight Trends. |
topic |
Mídias Sociais Prospecção Tecnológica Trends. Social media Technological Foresight Trends. |
description |
This paper is an analysis of management technology based on social media data and trends. Companies has been using data analytics technologies from social media platforms to enhance their production and improve relationships with users (customers). The research methodology used was a research trend, measured by production of scientific articles, linked with the patent registration analysis. Main research presents details collected on Web of Science (articles) and Espacenet (patents) databases, in complement this research presents suggestion forwarding for similar future papers, following databases: Espacenet, Patentscope, Web of Science and Google Scholar were used. Results revealed that the technology in question is in advanced level of development, consolidated, but constantly updated because data and technology-related actors are constantly changing. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-12-30 |
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://periodicos.ufba.br/index.php/nit/article/view/32953 10.9771/cp.v12i5.32953 |
url |
https://periodicos.ufba.br/index.php/nit/article/view/32953 |
identifier_str_mv |
10.9771/cp.v12i5.32953 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufba.br/index.php/nit/article/view/32953/20678 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Cadernos de Prospecção https://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Cadernos de Prospecção https://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal da Bahia |
publisher.none.fl_str_mv |
Universidade Federal da Bahia |
dc.source.none.fl_str_mv |
Cadernos de Prospecção; Vol. 12 No. 5 (2019): Edição Especial - IX ProspeCT&I 2019 - Congresso Internacional do PROFNIT/FORTEC; 1421 Cadernos de Prospecção; v. 12 n. 5 (2019): Edição Especial - IX ProspeCT&I 2019 - Congresso Internacional do PROFNIT/FORTEC; 1421 2317-0026 1983-1358 reponame:Cadernos de Prospecção (Online) instname:Universidade Federal da Bahia (UFBA) instacron:UFBA |
instname_str |
Universidade Federal da Bahia (UFBA) |
instacron_str |
UFBA |
institution |
UFBA |
reponame_str |
Cadernos de Prospecção (Online) |
collection |
Cadernos de Prospecção (Online) |
repository.name.fl_str_mv |
Cadernos de Prospecção (Online) - Universidade Federal da Bahia (UFBA) |
repository.mail.fl_str_mv |
cadernosdeprospeccao@gmail.com || maliceribeiro@yahoo.com.br || cadernosdeprospeccao@gmail.com || saionaraluna@gmail.com |
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1799319847352401920 |