A relationship model for factors influencing knowledge transfer between NPD teams

Detalhes bibliográficos
Autor(a) principal: Frank,Alejandro Germán
Data de Publicação: 2018
Outros Autores: Ayala,Néstor Fabián, Corso,Mariano, Ribeiro,José Luis Duarte
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.
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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
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132018000100503
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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
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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
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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
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