Drivers of innovation capacity and consequences for Open Innovation

Detalhes bibliográficos
Autor(a) principal: Walter, Cicero Eduardo
Data de Publicação: 2021
Outros Autores: Ferreira Polónia, Daniel, Au-Yong-Oliveira, Manuel, Miranda Veloso, Cláudia, Santos Leite, Rafael Ângelo, Aragão, Iracema
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/35511
Resumo: The main objective of the present research is to identify the knowledge flows responsible for promoting the innovation capacity of Portuguese companies. Specifically, we intend to identify which variables influence Portuguese innovation capacity from a macro and micro perspective, so that we can establish possible ways to promote open innovation (OI) in Portugal since Portuguese companies have little maturity in terms of open innovation when compared to companies in other countries of the European Union. To achieve this goal, the methodological design used consisted of two phases. In the first phase, a literature review was conducted to identify the main variables associated with innovation performance. After identifying the most influential variables in the literature, in a second phase, data were collected through three distinct databases, namely Pordata, the Portuguese Tax and Customs Authority, and SABI. To identify the most influential variables in the Portuguese innovation capacity, the multivariate multiple regression technique based on the ordinary least square (OLS) method was applied. The results of the present research bring empirical evidence that researchers dedicated to R&D from non-profit institutions (i.e., inbound OI) and researchers from firms (i.e., outbound OI) exert a significant influence on innovation capacity so the development of an optimal strategy for the strengthening of open innovation by Portuguese firms should take into account the use and combination of these two specific knowledge flows. In this sense, the originality of this research lies in the fact that it is the first attempt to understand the possible implications of the determinants of innovation capacity on open innovation, from an exploratory study concerning the flows of knowledge.
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spelling Drivers of innovation capacity and consequences for Open InnovationInnovation capacityOpen innovationPatentsTrademarksInbound OIOutbound OIThe main objective of the present research is to identify the knowledge flows responsible for promoting the innovation capacity of Portuguese companies. Specifically, we intend to identify which variables influence Portuguese innovation capacity from a macro and micro perspective, so that we can establish possible ways to promote open innovation (OI) in Portugal since Portuguese companies have little maturity in terms of open innovation when compared to companies in other countries of the European Union. To achieve this goal, the methodological design used consisted of two phases. In the first phase, a literature review was conducted to identify the main variables associated with innovation performance. After identifying the most influential variables in the literature, in a second phase, data were collected through three distinct databases, namely Pordata, the Portuguese Tax and Customs Authority, and SABI. To identify the most influential variables in the Portuguese innovation capacity, the multivariate multiple regression technique based on the ordinary least square (OLS) method was applied. The results of the present research bring empirical evidence that researchers dedicated to R&D from non-profit institutions (i.e., inbound OI) and researchers from firms (i.e., outbound OI) exert a significant influence on innovation capacity so the development of an optimal strategy for the strengthening of open innovation by Portuguese firms should take into account the use and combination of these two specific knowledge flows. In this sense, the originality of this research lies in the fact that it is the first attempt to understand the possible implications of the determinants of innovation capacity on open innovation, from an exploratory study concerning the flows of knowledge.MDPI2022-12-21T10:00:00Z2021-06-01T00:00:00Z2021-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/35511eng2199-853110.3390/joitmc7020140Walter, Cicero EduardoFerreira Polónia, DanielAu-Yong-Oliveira, ManuelMiranda Veloso, CláudiaSantos Leite, Rafael ÂngeloAragão, Iracemainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T12:07:50Zoai:ria.ua.pt:10773/35511Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:06:17.852784Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Drivers of innovation capacity and consequences for Open Innovation
title Drivers of innovation capacity and consequences for Open Innovation
spellingShingle Drivers of innovation capacity and consequences for Open Innovation
Walter, Cicero Eduardo
Innovation capacity
Open innovation
Patents
Trademarks
Inbound OI
Outbound OI
title_short Drivers of innovation capacity and consequences for Open Innovation
title_full Drivers of innovation capacity and consequences for Open Innovation
title_fullStr Drivers of innovation capacity and consequences for Open Innovation
title_full_unstemmed Drivers of innovation capacity and consequences for Open Innovation
title_sort Drivers of innovation capacity and consequences for Open Innovation
author Walter, Cicero Eduardo
author_facet Walter, Cicero Eduardo
Ferreira Polónia, Daniel
Au-Yong-Oliveira, Manuel
Miranda Veloso, Cláudia
Santos Leite, Rafael Ângelo
Aragão, Iracema
author_role author
author2 Ferreira Polónia, Daniel
Au-Yong-Oliveira, Manuel
Miranda Veloso, Cláudia
Santos Leite, Rafael Ângelo
Aragão, Iracema
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Walter, Cicero Eduardo
Ferreira Polónia, Daniel
Au-Yong-Oliveira, Manuel
Miranda Veloso, Cláudia
Santos Leite, Rafael Ângelo
Aragão, Iracema
dc.subject.por.fl_str_mv Innovation capacity
Open innovation
Patents
Trademarks
Inbound OI
Outbound OI
topic Innovation capacity
Open innovation
Patents
Trademarks
Inbound OI
Outbound OI
description The main objective of the present research is to identify the knowledge flows responsible for promoting the innovation capacity of Portuguese companies. Specifically, we intend to identify which variables influence Portuguese innovation capacity from a macro and micro perspective, so that we can establish possible ways to promote open innovation (OI) in Portugal since Portuguese companies have little maturity in terms of open innovation when compared to companies in other countries of the European Union. To achieve this goal, the methodological design used consisted of two phases. In the first phase, a literature review was conducted to identify the main variables associated with innovation performance. After identifying the most influential variables in the literature, in a second phase, data were collected through three distinct databases, namely Pordata, the Portuguese Tax and Customs Authority, and SABI. To identify the most influential variables in the Portuguese innovation capacity, the multivariate multiple regression technique based on the ordinary least square (OLS) method was applied. The results of the present research bring empirical evidence that researchers dedicated to R&D from non-profit institutions (i.e., inbound OI) and researchers from firms (i.e., outbound OI) exert a significant influence on innovation capacity so the development of an optimal strategy for the strengthening of open innovation by Portuguese firms should take into account the use and combination of these two specific knowledge flows. In this sense, the originality of this research lies in the fact that it is the first attempt to understand the possible implications of the determinants of innovation capacity on open innovation, from an exploratory study concerning the flows of knowledge.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-01T00:00:00Z
2021-06
2022-12-21T10:00:00Z
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10.3390/joitmc7020140
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