A relationship model for factors influencing knowledge transfer between NPD teams
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Production |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132018000100503 |
Resumo: | Abstract Paper aims To define a model that describes the relationship among the main factors influencing knowledge transfer (KT) between new product development (NPD) teams. Originality We offer a systemic vision of the relationship between the KT factors. All main KT factors are analyzed together considering the interdependence among them. Research method KT factors from the literature were used for the model development, which was accomplished through a quantitative evaluation of scholars and practitioners. To test the model, a practical assessment was conducted in five firms using regression analysis. Main findings The model describes the relationships of 15 main factors and it can be used for practical assessments or for future theoretical studies. Implications for theory and practice The model can help practitioners to use knowledge of their teams for continuous innovation in NPD. It allows to perform diagnoses of the KT factors in the specific context of a given firm. |
id |
ABEPRO-1_cbfdecc82f65f001bca1d587ea490e6a |
---|---|
oai_identifier_str |
oai:scielo:S0103-65132018000100503 |
network_acronym_str |
ABEPRO-1 |
network_name_str |
Production |
repository_id_str |
|
spelling |
A relationship model for factors influencing knowledge transfer between NPD teamsNew product developmentKnowledge managementKnowledge transferKnowledge sharingAbstract Paper aims To define a model that describes the relationship among the main factors influencing knowledge transfer (KT) between new product development (NPD) teams. Originality We offer a systemic vision of the relationship between the KT factors. All main KT factors are analyzed together considering the interdependence among them. Research method KT factors from the literature were used for the model development, which was accomplished through a quantitative evaluation of scholars and practitioners. To test the model, a practical assessment was conducted in five firms using regression analysis. Main findings The model describes the relationships of 15 main factors and it can be used for practical assessments or for future theoretical studies. Implications for theory and practice The model can help practitioners to use knowledge of their teams for continuous innovation in NPD. It allows to perform diagnoses of the KT factors in the specific context of a given firm.Associação Brasileira de Engenharia de Produção2018-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132018000100503Production v.28 2018reponame:Productioninstname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPRO10.1590/0103-6513.20180055info:eu-repo/semantics/openAccessFrank,Alejandro GermánAyala,Néstor FabiánCorso,MarianoRibeiro,José Luis Duarteeng2018-11-23T00:00:00Zoai:scielo:S0103-65132018000100503Revistahttps://www.scielo.br/j/prod/https://old.scielo.br/oai/scielo-oai.php||production@editoracubo.com.br1980-54110103-6513opendoar:2018-11-23T00:00Production - Associação Brasileira de Engenharia de Produção (ABEPRO)false |
dc.title.none.fl_str_mv |
A relationship model for factors influencing knowledge transfer between NPD teams |
title |
A relationship model for factors influencing knowledge transfer between NPD teams |
spellingShingle |
A relationship model for factors influencing knowledge transfer between NPD teams Frank,Alejandro Germán New product development Knowledge management Knowledge transfer Knowledge sharing |
title_short |
A relationship model for factors influencing knowledge transfer between NPD teams |
title_full |
A relationship model for factors influencing knowledge transfer between NPD teams |
title_fullStr |
A relationship model for factors influencing knowledge transfer between NPD teams |
title_full_unstemmed |
A relationship model for factors influencing knowledge transfer between NPD teams |
title_sort |
A relationship model for factors influencing knowledge transfer between NPD teams |
author |
Frank,Alejandro Germán |
author_facet |
Frank,Alejandro Germán Ayala,Néstor Fabián Corso,Mariano Ribeiro,José Luis Duarte |
author_role |
author |
author2 |
Ayala,Néstor Fabián Corso,Mariano Ribeiro,José Luis Duarte |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Frank,Alejandro Germán Ayala,Néstor Fabián Corso,Mariano Ribeiro,José Luis Duarte |
dc.subject.por.fl_str_mv |
New product development Knowledge management Knowledge transfer Knowledge sharing |
topic |
New product development Knowledge management Knowledge transfer Knowledge sharing |
description |
Abstract Paper aims To define a model that describes the relationship among the main factors influencing knowledge transfer (KT) between new product development (NPD) teams. Originality We offer a systemic vision of the relationship between the KT factors. All main KT factors are analyzed together considering the interdependence among them. Research method KT factors from the literature were used for the model development, which was accomplished through a quantitative evaluation of scholars and practitioners. To test the model, a practical assessment was conducted in five firms using regression analysis. Main findings The model describes the relationships of 15 main factors and it can be used for practical assessments or for future theoretical studies. Implications for theory and practice The model can help practitioners to use knowledge of their teams for continuous innovation in NPD. It allows to perform diagnoses of the KT factors in the specific context of a given firm. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-01-01 |
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=S0103-65132018000100503 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132018000100503 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0103-6513.20180055 |
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.28 2018 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_ |
1754213154466824192 |