Comparative Analysis of the Knowledge Absorption Capacity of Auto Parts Companies in the State of Rio Grande do Sul
Autor(a) principal: | |
---|---|
Data de Publicação: | 2024 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Inovação (Online) |
Texto Completo: | https://periodicos.sbu.unicamp.br/ojs/index.php/rbi/article/view/8670897 |
Resumo: | The article analyzes auto parts companies in Rio Grande do Sul so as to understand their knowledge absorption capacities and to identify important combinations to reach Absorptive Capacity. The Absorptive Capacity is a dynamic skill, and relationships among learning, innovation and interaction may boost knowledge absorption and improve companies' innovative capabilities. Data analysis using Fuzzy Sets Qualitative Comparative Analysis revealed necessary and sufficient conditions related to the dimensions and components that shape the Absorptive Capacity. It was observed that the combinations of capabilities of the companies are sufficient to reach an average level of Absorptive Capacity. |
id |
UNICAMP-9_898ae551efb5a0bc1ad3b9cf45862c6f |
---|---|
oai_identifier_str |
oai:ojs.periodicos.sbu.unicamp.br:article/8670897 |
network_acronym_str |
UNICAMP-9 |
network_name_str |
Revista Brasileira de Inovação (Online) |
repository_id_str |
|
spelling |
Comparative Analysis of the Knowledge Absorption Capacity of Auto Parts Companies in the State of Rio Grande do Sul Comparative analysis of the absorptive capacity of knowledge of auto parts companies in Rio Grande do SulComparative analysis of the absorptive capacity of knowledge of auto parts companies in Rio Grande do SulAbsorptive CapacityFuzzy SetsAuto Parts SectorAbsorptive capacityFuzzy setsAuto parts sectorAbsorptive capacityFuzzy setsAuto parts sector The article analyzes auto parts companies in Rio Grande do Sul so as to understand their knowledge absorption capacities and to identify important combinations to reach Absorptive Capacity. The Absorptive Capacity is a dynamic skill, and relationships among learning, innovation and interaction may boost knowledge absorption and improve companies' innovative capabilities. Data analysis using Fuzzy Sets Qualitative Comparative Analysis revealed necessary and sufficient conditions related to the dimensions and components that shape the Absorptive Capacity. It was observed that the combinations of capabilities of the companies are sufficient to reach an average level of Absorptive Capacity.The article analyzes auto parts companies in Rio Grande do Sul so as to understand their knowledge absorption capacities and to identify important combinations to reach Absorptive Capacity. The Absorptive Capacity is a dynamic skill, and relationships among learning, innovation and interaction may boost knowledge absorption and improve companies' innovative capabilities. Data analysis using Fuzzy Sets Qualitative Comparative Analysis revealed necessary and sufficient conditions related to the dimensions and components that shape the Absorptive Capacity. It was observed that the combinations of capabilities of the companies are sufficient to reach an average level of Absorptive Capacity.The article analyzes auto parts companies in Rio Grande do Sul so as to understand their knowledge absorption capacities and to identify important combinations to reach Absorptive Capacity. The Absorptive Capacity is a dynamic skill, and relationships among learning, innovation and interaction may boost knowledge absorption and improve companies' innovative capabilities. Data analysis using Fuzzy Sets Qualitative Comparative Analysis revealed necessary and sufficient conditions related to the dimensions and components that shape the Absorptive Capacity. It was observed that the combinations of capabilities of the companies are sufficient to reach an average level of Absorptive Capacity.Universidade Estadual de Campinas2024-07-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionTextoTextinfo:eu-repo/semantics/otherapplication/pdfhttps://periodicos.sbu.unicamp.br/ojs/index.php/rbi/article/view/867089710.20396/rbi.v23i00.8670897Revista Brasileira de Inovação; Vol. 23 (2024): Continuous Publication; 33Revista Brasileira de Inovação; Vol. 23 (2024): Publicación contínua; 33Revista Brasileira de Inovação; v. 23 (2024): Publicação Contínua; 332178-2822reponame:Revista Brasileira de Inovação (Online)instname:Universidade Estadual de Campinas (UNICAMP)instacron:UNICAMPenghttps://periodicos.sbu.unicamp.br/ojs/index.php/rbi/article/view/8670897/34278Brazil; ContemporaryBrasil; ContemporaneoBrasil; ContemporâneoCopyright (c) 2024 Revista Brasileira de Inovaçãohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessNeis, AndressaRohenkohl , Júlio Eduardo2024-07-30T00:49:42Zoai:ojs.periodicos.sbu.unicamp.br:article/8670897Revistahttps://periodicos.sbu.unicamp.br/ojs/index.php/rbiPUBhttps://periodicos.sbu.unicamp.br/ojs/index.php/rbi/oai||rbi@ige.unicamp.br2178-28221677-2504opendoar:2024-07-30T00:49:42Revista Brasileira de Inovação (Online) - Universidade Estadual de Campinas (UNICAMP)false |
dc.title.none.fl_str_mv |
Comparative Analysis of the Knowledge Absorption Capacity of Auto Parts Companies in the State of Rio Grande do Sul Comparative analysis of the absorptive capacity of knowledge of auto parts companies in Rio Grande do Sul Comparative analysis of the absorptive capacity of knowledge of auto parts companies in Rio Grande do Sul |
title |
Comparative Analysis of the Knowledge Absorption Capacity of Auto Parts Companies in the State of Rio Grande do Sul |
spellingShingle |
Comparative Analysis of the Knowledge Absorption Capacity of Auto Parts Companies in the State of Rio Grande do Sul Neis, Andressa Absorptive Capacity Fuzzy Sets Auto Parts Sector Absorptive capacity Fuzzy sets Auto parts sector Absorptive capacity Fuzzy sets Auto parts sector |
title_short |
Comparative Analysis of the Knowledge Absorption Capacity of Auto Parts Companies in the State of Rio Grande do Sul |
title_full |
Comparative Analysis of the Knowledge Absorption Capacity of Auto Parts Companies in the State of Rio Grande do Sul |
title_fullStr |
Comparative Analysis of the Knowledge Absorption Capacity of Auto Parts Companies in the State of Rio Grande do Sul |
title_full_unstemmed |
Comparative Analysis of the Knowledge Absorption Capacity of Auto Parts Companies in the State of Rio Grande do Sul |
title_sort |
Comparative Analysis of the Knowledge Absorption Capacity of Auto Parts Companies in the State of Rio Grande do Sul |
author |
Neis, Andressa |
author_facet |
Neis, Andressa Rohenkohl , Júlio Eduardo |
author_role |
author |
author2 |
Rohenkohl , Júlio Eduardo |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Neis, Andressa Rohenkohl , Júlio Eduardo |
dc.subject.por.fl_str_mv |
Absorptive Capacity Fuzzy Sets Auto Parts Sector Absorptive capacity Fuzzy sets Auto parts sector Absorptive capacity Fuzzy sets Auto parts sector |
topic |
Absorptive Capacity Fuzzy Sets Auto Parts Sector Absorptive capacity Fuzzy sets Auto parts sector Absorptive capacity Fuzzy sets Auto parts sector |
description |
The article analyzes auto parts companies in Rio Grande do Sul so as to understand their knowledge absorption capacities and to identify important combinations to reach Absorptive Capacity. The Absorptive Capacity is a dynamic skill, and relationships among learning, innovation and interaction may boost knowledge absorption and improve companies' innovative capabilities. Data analysis using Fuzzy Sets Qualitative Comparative Analysis revealed necessary and sufficient conditions related to the dimensions and components that shape the Absorptive Capacity. It was observed that the combinations of capabilities of the companies are sufficient to reach an average level of Absorptive Capacity. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-07-29 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Texto Text info:eu-repo/semantics/other |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.sbu.unicamp.br/ojs/index.php/rbi/article/view/8670897 10.20396/rbi.v23i00.8670897 |
url |
https://periodicos.sbu.unicamp.br/ojs/index.php/rbi/article/view/8670897 |
identifier_str_mv |
10.20396/rbi.v23i00.8670897 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.sbu.unicamp.br/ojs/index.php/rbi/article/view/8670897/34278 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2024 Revista Brasileira de Inovação https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2024 Revista Brasileira de Inovação https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.none.fl_str_mv |
Brazil; Contemporary Brasil; Contemporaneo Brasil; Contemporâneo |
dc.publisher.none.fl_str_mv |
Universidade Estadual de Campinas |
publisher.none.fl_str_mv |
Universidade Estadual de Campinas |
dc.source.none.fl_str_mv |
Revista Brasileira de Inovação; Vol. 23 (2024): Continuous Publication; 33 Revista Brasileira de Inovação; Vol. 23 (2024): Publicación contínua; 33 Revista Brasileira de Inovação; v. 23 (2024): Publicação Contínua; 33 2178-2822 reponame:Revista Brasileira de Inovação (Online) instname:Universidade Estadual de Campinas (UNICAMP) instacron:UNICAMP |
instname_str |
Universidade Estadual de Campinas (UNICAMP) |
instacron_str |
UNICAMP |
institution |
UNICAMP |
reponame_str |
Revista Brasileira de Inovação (Online) |
collection |
Revista Brasileira de Inovação (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Inovação (Online) - Universidade Estadual de Campinas (UNICAMP) |
repository.mail.fl_str_mv |
||rbi@ige.unicamp.br |
_version_ |
1809464310306439168 |