Suppliers' network analysis under the perspective of structural, relational and cognitive embeddedness: an exploratory study
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Production |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132019000100205 |
Resumo: | Abstract Paper aims To analyze and characterize a supplier network under the analytical perspective of structural, relational and cognitive embeddedness. Originality Analysis of a network of suppliers in a soft drink industry using Social Network Analysis (SNA) techniques. Research method The case study was used as a research strategy. The analysis of structural perspectives, relational and cognitive embeddedness and their respective variables were considered, as well as measures of centrality and density of the network of suppliers. Main findings The analysis allowed to establish the characteristics of the network of suppliers regarding structural, relational and cognitive embeddedness and their respective variables. However, it should be noted that the manuscript addresses a single case study, and it is not possible to generalize the results obtained. Implications for theory and practice The findings of this paper can be used as a basis to understand how to use the main metrics of social network analysis to investigate the structural, relational and cognitive characteristics of a company and your network. |
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Suppliers' network analysis under the perspective of structural, relational and cognitive embeddedness: an exploratory studyEnterprise networksSupplier managementEmbeddednessAbstract Paper aims To analyze and characterize a supplier network under the analytical perspective of structural, relational and cognitive embeddedness. Originality Analysis of a network of suppliers in a soft drink industry using Social Network Analysis (SNA) techniques. Research method The case study was used as a research strategy. The analysis of structural perspectives, relational and cognitive embeddedness and their respective variables were considered, as well as measures of centrality and density of the network of suppliers. Main findings The analysis allowed to establish the characteristics of the network of suppliers regarding structural, relational and cognitive embeddedness and their respective variables. However, it should be noted that the manuscript addresses a single case study, and it is not possible to generalize the results obtained. Implications for theory and practice The findings of this paper can be used as a basis to understand how to use the main metrics of social network analysis to investigate the structural, relational and cognitive characteristics of a company and your network.Associação Brasileira de Engenharia de Produção2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132019000100205Production v.29 2019reponame:Productioninstname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPRO10.1590/0103-6513.20180041info:eu-repo/semantics/openAccessCapioto,Guilherme RottaBarbosa,Danilo HisanoKurumoto,Juliana SayuriCotrim,Syntia Lemoseng2019-02-14T00:00:00Zoai:scielo:S0103-65132019000100205Revistahttps://www.scielo.br/j/prod/https://old.scielo.br/oai/scielo-oai.php||production@editoracubo.com.br1980-54110103-6513opendoar:2019-02-14T00:00Production - Associação Brasileira de Engenharia de Produção (ABEPRO)false |
dc.title.none.fl_str_mv |
Suppliers' network analysis under the perspective of structural, relational and cognitive embeddedness: an exploratory study |
title |
Suppliers' network analysis under the perspective of structural, relational and cognitive embeddedness: an exploratory study |
spellingShingle |
Suppliers' network analysis under the perspective of structural, relational and cognitive embeddedness: an exploratory study Capioto,Guilherme Rotta Enterprise networks Supplier management Embeddedness |
title_short |
Suppliers' network analysis under the perspective of structural, relational and cognitive embeddedness: an exploratory study |
title_full |
Suppliers' network analysis under the perspective of structural, relational and cognitive embeddedness: an exploratory study |
title_fullStr |
Suppliers' network analysis under the perspective of structural, relational and cognitive embeddedness: an exploratory study |
title_full_unstemmed |
Suppliers' network analysis under the perspective of structural, relational and cognitive embeddedness: an exploratory study |
title_sort |
Suppliers' network analysis under the perspective of structural, relational and cognitive embeddedness: an exploratory study |
author |
Capioto,Guilherme Rotta |
author_facet |
Capioto,Guilherme Rotta Barbosa,Danilo Hisano Kurumoto,Juliana Sayuri Cotrim,Syntia Lemos |
author_role |
author |
author2 |
Barbosa,Danilo Hisano Kurumoto,Juliana Sayuri Cotrim,Syntia Lemos |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Capioto,Guilherme Rotta Barbosa,Danilo Hisano Kurumoto,Juliana Sayuri Cotrim,Syntia Lemos |
dc.subject.por.fl_str_mv |
Enterprise networks Supplier management Embeddedness |
topic |
Enterprise networks Supplier management Embeddedness |
description |
Abstract Paper aims To analyze and characterize a supplier network under the analytical perspective of structural, relational and cognitive embeddedness. Originality Analysis of a network of suppliers in a soft drink industry using Social Network Analysis (SNA) techniques. Research method The case study was used as a research strategy. The analysis of structural perspectives, relational and cognitive embeddedness and their respective variables were considered, as well as measures of centrality and density of the network of suppliers. Main findings The analysis allowed to establish the characteristics of the network of suppliers regarding structural, relational and cognitive embeddedness and their respective variables. However, it should be noted that the manuscript addresses a single case study, and it is not possible to generalize the results obtained. Implications for theory and practice The findings of this paper can be used as a basis to understand how to use the main metrics of social network analysis to investigate the structural, relational and cognitive characteristics of a company and your network. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132019000100205 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132019000100205 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0103-6513.20180041 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Engenharia de Produção |
publisher.none.fl_str_mv |
Associação Brasileira de Engenharia de Produção |
dc.source.none.fl_str_mv |
Production v.29 2019 reponame:Production instname:Associação Brasileira de Engenharia de Produção (ABEPRO) instacron:ABEPRO |
instname_str |
Associação Brasileira de Engenharia de Produção (ABEPRO) |
instacron_str |
ABEPRO |
institution |
ABEPRO |
reponame_str |
Production |
collection |
Production |
repository.name.fl_str_mv |
Production - Associação Brasileira de Engenharia de Produção (ABEPRO) |
repository.mail.fl_str_mv |
||production@editoracubo.com.br |
_version_ |
1754213154474164224 |