On stochastic aspects of impact modeling of the innovation incentive system and business internationalization: evidence from Portuguese SMEs
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/34707 https://doi.org/10.1080/07362994.2023.2166532 |
Resumo: | Multivariate normal distribution is base for many statistical techniques, including ordinary least square inference. Here we show that in order to make research on Internationalization of Companies, more flexible approach is needed, namely partial least squares (PLS). It is a nonparametric technique, used in Structural Equation Modeling (SEM), which makes no distributional assumptions and also may be applied with small sample sizes. In this study we discuss on regularity conditions for PLS from the perspective of semi-continuous covariance which fills the gap in the current studies. The stochastic aspects, especially those related to usage of PLS-SEM, can be well integrated to the topologically grounded regression, where jumps in the covariances can occur. The purpose of the research is to analyze and understand the impact of the Incentive System (IS) for Innovation, within the scope of the National Strategic Reference Framework (QREN) 2014-2020, on the Internationalization of Portuguese Small and Medium Enterprises (SMEs). We study stochastic aspects of theoretical model which aggregates the variables Product Innovation, Marketing Innovation, Organizational Innovation and Working Conditions as determinants of Internationalization of Companies. Data were collected based on a quantitative methodology, through a self-completion questionnaire using the Likert psychometric scale, which registered 120 participants. Organizational Innovation (exogenous latent construct) and Product Innovation have shown a statistically significant indirect effect on the Internationalization of Companies (endogenous latent construct) through Marketing Innovation. The latter has a direct effect on the Internationalization (target construct). However, Working Conditions has the greatest impact on Internationalization, meaning that measures such as increasing wages, decreasing the use of temporary work and precarious work conversion into labor effective relations have a very relevant direct effect on the Internationalization of Portuguese SMEs. |
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On stochastic aspects of impact modeling of the innovation incentive system and business internationalization: evidence from Portuguese SMEsPLSstochasticityinnovationstructural equation modelingtopology in regressionMultivariate normal distribution is base for many statistical techniques, including ordinary least square inference. Here we show that in order to make research on Internationalization of Companies, more flexible approach is needed, namely partial least squares (PLS). It is a nonparametric technique, used in Structural Equation Modeling (SEM), which makes no distributional assumptions and also may be applied with small sample sizes. In this study we discuss on regularity conditions for PLS from the perspective of semi-continuous covariance which fills the gap in the current studies. The stochastic aspects, especially those related to usage of PLS-SEM, can be well integrated to the topologically grounded regression, where jumps in the covariances can occur. The purpose of the research is to analyze and understand the impact of the Incentive System (IS) for Innovation, within the scope of the National Strategic Reference Framework (QREN) 2014-2020, on the Internationalization of Portuguese Small and Medium Enterprises (SMEs). We study stochastic aspects of theoretical model which aggregates the variables Product Innovation, Marketing Innovation, Organizational Innovation and Working Conditions as determinants of Internationalization of Companies. Data were collected based on a quantitative methodology, through a self-completion questionnaire using the Likert psychometric scale, which registered 120 participants. Organizational Innovation (exogenous latent construct) and Product Innovation have shown a statistically significant indirect effect on the Internationalization of Companies (endogenous latent construct) through Marketing Innovation. The latter has a direct effect on the Internationalization (target construct). However, Working Conditions has the greatest impact on Internationalization, meaning that measures such as increasing wages, decreasing the use of temporary work and precarious work conversion into labor effective relations have a very relevant direct effect on the Internationalization of Portuguese SMEs.FCT - Fundação para a Ciência e a Tecnologia, I.P., under the scope of the projects UIDB/00297/2020 and UIDP/00297/2020 (Center for Mathematics and Applications).Taylor & Francis2023-02-24T14:55:12Z2023-02-242023-01-17T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/34707https://doi.org/10.1080/07362994.2023.2166532http://hdl.handle.net/10174/34707https://doi.org/10.1080/07362994.2023.2166532engL. M. Grilo, E. J. Pereira, J. P. Maidana & M. Stehlík (2023) On stochastic aspects of impact modeling of the innovation incentive system and business internationalization: evidence from Portuguese SMEs, Stochastic Analysis and Applications, DOI: 10.1080/07362994.2023.2166532luis.grilo@uevora.ptjeronimo.elsa@gmail.comjean.maidana@postgrado.uv.clmlnstehlik@gmail.com336Grilo, Luis M.Pereira, Elsa J.Maidana, Jean P.Stehlik, Milaninfo: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:RCAAP2024-01-03T19:37:29Zoai:dspace.uevora.pt:10174/34707Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:23:12.673265Repositório 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 |
On stochastic aspects of impact modeling of the innovation incentive system and business internationalization: evidence from Portuguese SMEs |
title |
On stochastic aspects of impact modeling of the innovation incentive system and business internationalization: evidence from Portuguese SMEs |
spellingShingle |
On stochastic aspects of impact modeling of the innovation incentive system and business internationalization: evidence from Portuguese SMEs Grilo, Luis M. PLS stochasticity innovation structural equation modeling topology in regression |
title_short |
On stochastic aspects of impact modeling of the innovation incentive system and business internationalization: evidence from Portuguese SMEs |
title_full |
On stochastic aspects of impact modeling of the innovation incentive system and business internationalization: evidence from Portuguese SMEs |
title_fullStr |
On stochastic aspects of impact modeling of the innovation incentive system and business internationalization: evidence from Portuguese SMEs |
title_full_unstemmed |
On stochastic aspects of impact modeling of the innovation incentive system and business internationalization: evidence from Portuguese SMEs |
title_sort |
On stochastic aspects of impact modeling of the innovation incentive system and business internationalization: evidence from Portuguese SMEs |
author |
Grilo, Luis M. |
author_facet |
Grilo, Luis M. Pereira, Elsa J. Maidana, Jean P. Stehlik, Milan |
author_role |
author |
author2 |
Pereira, Elsa J. Maidana, Jean P. Stehlik, Milan |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Grilo, Luis M. Pereira, Elsa J. Maidana, Jean P. Stehlik, Milan |
dc.subject.por.fl_str_mv |
PLS stochasticity innovation structural equation modeling topology in regression |
topic |
PLS stochasticity innovation structural equation modeling topology in regression |
description |
Multivariate normal distribution is base for many statistical techniques, including ordinary least square inference. Here we show that in order to make research on Internationalization of Companies, more flexible approach is needed, namely partial least squares (PLS). It is a nonparametric technique, used in Structural Equation Modeling (SEM), which makes no distributional assumptions and also may be applied with small sample sizes. In this study we discuss on regularity conditions for PLS from the perspective of semi-continuous covariance which fills the gap in the current studies. The stochastic aspects, especially those related to usage of PLS-SEM, can be well integrated to the topologically grounded regression, where jumps in the covariances can occur. The purpose of the research is to analyze and understand the impact of the Incentive System (IS) for Innovation, within the scope of the National Strategic Reference Framework (QREN) 2014-2020, on the Internationalization of Portuguese Small and Medium Enterprises (SMEs). We study stochastic aspects of theoretical model which aggregates the variables Product Innovation, Marketing Innovation, Organizational Innovation and Working Conditions as determinants of Internationalization of Companies. Data were collected based on a quantitative methodology, through a self-completion questionnaire using the Likert psychometric scale, which registered 120 participants. Organizational Innovation (exogenous latent construct) and Product Innovation have shown a statistically significant indirect effect on the Internationalization of Companies (endogenous latent construct) through Marketing Innovation. The latter has a direct effect on the Internationalization (target construct). However, Working Conditions has the greatest impact on Internationalization, meaning that measures such as increasing wages, decreasing the use of temporary work and precarious work conversion into labor effective relations have a very relevant direct effect on the Internationalization of Portuguese SMEs. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-02-24T14:55:12Z 2023-02-24 2023-01-17T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10174/34707 https://doi.org/10.1080/07362994.2023.2166532 http://hdl.handle.net/10174/34707 https://doi.org/10.1080/07362994.2023.2166532 |
url |
http://hdl.handle.net/10174/34707 https://doi.org/10.1080/07362994.2023.2166532 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
L. M. Grilo, E. J. Pereira, J. P. Maidana & M. Stehlík (2023) On stochastic aspects of impact modeling of the innovation incentive system and business internationalization: evidence from Portuguese SMEs, Stochastic Analysis and Applications, DOI: 10.1080/07362994.2023.2166532 luis.grilo@uevora.pt jeronimo.elsa@gmail.com jean.maidana@postgrado.uv.cl mlnstehlik@gmail.com 336 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Taylor & Francis |
publisher.none.fl_str_mv |
Taylor & Francis |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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