Data analysis in social networks for agribusiness: a systematic review.

Detalhes bibliográficos
Autor(a) principal: SOARES, N. D.
Data de Publicação: 2023
Outros Autores: BRAGA, R., DAVID, J. M. N., SIQUEIRA, K. B., STROELE, V.
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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spelling 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
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instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
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reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
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repository.mail.fl_str_mv cg-riaa@embrapa.br
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