On stochastic aspects of impact modeling of the innovation incentive system and business internationalization: evidence from Portuguese SMEs

Detalhes bibliográficos
Autor(a) principal: Grilo, Luis M.
Data de Publicação: 2023
Outros Autores: Pereira, Elsa J., Maidana, Jean P., Stehlik, Milan
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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spelling 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
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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