Data analysis in social networks for agribusiness: a systematic review.
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1152681 https://doi.org/10.1109/ACCESS.2023.3237984 |
Resumo: | The ability of companies to react to changes imposed by the market can be aided by to information acquisition and knowledge generation. Big data technologies, crowdsourcing, and Online Social Networks (OSN) are used for knowledge generation. These technologies have assumed a significant position in agribusiness in recent decades. This work investigates how social network analysis can promote agribusiness to provide a basis for future applications and evaluations. We adopted a hybrid systematic mapping to conduct the investigation. Two hundred twenty-three works that propose solutions for agribusiness were found and categorized. Results showed the most used OSN is Twitter and revealed an increase in the number of studies in this area. The information obtained indicates how social media monitoring can complement traditional decision-making methods in managing and regulating agricultural systems. However, more studies in agribusiness using data analysis tools on social networks are required, considering the importance of social networks on marketing strategies. Based on our results, we discuss some challenges and research directions. |
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Data analysis in social networks for agribusiness: a systematic review.Mapeamento sistemáticoRede socialAgronegócioAnálise de DadosThe ability of companies to react to changes imposed by the market can be aided by to information acquisition and knowledge generation. Big data technologies, crowdsourcing, and Online Social Networks (OSN) are used for knowledge generation. These technologies have assumed a significant position in agribusiness in recent decades. This work investigates how social network analysis can promote agribusiness to provide a basis for future applications and evaluations. We adopted a hybrid systematic mapping to conduct the investigation. Two hundred twenty-three works that propose solutions for agribusiness were found and categorized. Results showed the most used OSN is Twitter and revealed an increase in the number of studies in this area. The information obtained indicates how social media monitoring can complement traditional decision-making methods in managing and regulating agricultural systems. However, more studies in agribusiness using data analysis tools on social networks are required, considering the importance of social networks on marketing strategies. Based on our results, we discuss some challenges and research directions.NEDSON D. SOARES, Energisa; REGINA BRAGA, Universidade Federal de Juiz de Fora; JOSÉ MARIA N. DAVID, Universidade Federal de Juiz de Fora; KENNYA BEATRIZ SIQUEIRA, CNPGL; VICTOR STROELE, Universidade Federal de Juiz de Fora.SOARES, N. D.BRAGA, R.DAVID, J. M. N.SIQUEIRA, K. B.STROELE, V.2023-03-24T13:50:38Z2023-03-24T13:50:38Z2023-03-242023info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleIEEE Access, v. 11, p. 8422-8432, 2023.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1152681https://doi.org/10.1109/ACCESS.2023.3237984enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2023-03-24T13:50:38Zoai:www.alice.cnptia.embrapa.br:doc/1152681Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542023-03-24T13:50:38Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Data analysis in social networks for agribusiness: a systematic review. |
title |
Data analysis in social networks for agribusiness: a systematic review. |
spellingShingle |
Data analysis in social networks for agribusiness: a systematic review. SOARES, N. D. Mapeamento sistemático Rede social Agronegócio Análise de Dados |
title_short |
Data analysis in social networks for agribusiness: a systematic review. |
title_full |
Data analysis in social networks for agribusiness: a systematic review. |
title_fullStr |
Data analysis in social networks for agribusiness: a systematic review. |
title_full_unstemmed |
Data analysis in social networks for agribusiness: a systematic review. |
title_sort |
Data analysis in social networks for agribusiness: a systematic review. |
author |
SOARES, N. D. |
author_facet |
SOARES, N. D. BRAGA, R. DAVID, J. M. N. SIQUEIRA, K. B. STROELE, V. |
author_role |
author |
author2 |
BRAGA, R. DAVID, J. M. N. SIQUEIRA, K. B. STROELE, V. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
NEDSON D. SOARES, Energisa; REGINA BRAGA, Universidade Federal de Juiz de Fora; JOSÉ MARIA N. DAVID, Universidade Federal de Juiz de Fora; KENNYA BEATRIZ SIQUEIRA, CNPGL; VICTOR STROELE, Universidade Federal de Juiz de Fora. |
dc.contributor.author.fl_str_mv |
SOARES, N. D. BRAGA, R. DAVID, J. M. N. SIQUEIRA, K. B. STROELE, V. |
dc.subject.por.fl_str_mv |
Mapeamento sistemático Rede social Agronegócio Análise de Dados |
topic |
Mapeamento sistemático Rede social Agronegócio Análise de Dados |
description |
The ability of companies to react to changes imposed by the market can be aided by to information acquisition and knowledge generation. Big data technologies, crowdsourcing, and Online Social Networks (OSN) are used for knowledge generation. These technologies have assumed a significant position in agribusiness in recent decades. This work investigates how social network analysis can promote agribusiness to provide a basis for future applications and evaluations. We adopted a hybrid systematic mapping to conduct the investigation. Two hundred twenty-three works that propose solutions for agribusiness were found and categorized. Results showed the most used OSN is Twitter and revealed an increase in the number of studies in this area. The information obtained indicates how social media monitoring can complement traditional decision-making methods in managing and regulating agricultural systems. However, more studies in agribusiness using data analysis tools on social networks are required, considering the importance of social networks on marketing strategies. Based on our results, we discuss some challenges and research directions. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-03-24T13:50:38Z 2023-03-24T13:50:38Z 2023-03-24 2023 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
IEEE Access, v. 11, p. 8422-8432, 2023. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1152681 https://doi.org/10.1109/ACCESS.2023.3237984 |
identifier_str_mv |
IEEE Access, v. 11, p. 8422-8432, 2023. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1152681 https://doi.org/10.1109/ACCESS.2023.3237984 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
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Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
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EMBRAPA |
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EMBRAPA |
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Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
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Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1817695668792197120 |