On stochastic aspects of impact modeling of the innovation incentive system and business internationalization

Bibliographic Details
Main Author: Grilo, L. M.
Publication Date: 2024
Other Authors: Pereira, E. J., Maidana, J. P., Stehlík, M.
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/180482
Summary: Funding Information: This work is funded by national funds through the 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). Publisher Copyright: © 2023 The Author(s). Published with license by Taylor & Francis Group, LLC.
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network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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spelling On stochastic aspects of impact modeling of the innovation incentive system and business internationalizationevidence from Portuguese SMEsinnovationPLSstochasticitystructural equation modelingtopology in regressionStatistics and ProbabilityStatistics, Probability and UncertaintyApplied MathematicsSDG 8 - Decent Work and Economic GrowthSDG 9 - Industry, Innovation, and InfrastructureFunding Information: This work is funded by national funds through the 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). Publisher Copyright: © 2023 The Author(s). Published with license by Taylor & Francis Group, LLC.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.CMA - Centro de Matemática e AplicaçõesFaculdade de Ciências e Tecnologia (FCT)RUNGrilo, L. M.Pereira, E. J.Maidana, J. P.Stehlík, M.2025-03-11T21:12:57Z20242024-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article25application/pdfhttp://hdl.handle.net/10362/180482eng0736-2994PURE: 106485542https://doi.org/10.1080/07362994.2023.2166532info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-31T01:58:31Zoai:run.unl.pt:10362/180482Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T04:41:53.798883Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
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
spellingShingle On stochastic aspects of impact modeling of the innovation incentive system and business internationalization
Grilo, L. M.
innovation
PLS
stochasticity
structural equation modeling
topology in regression
Statistics and Probability
Statistics, Probability and Uncertainty
Applied Mathematics
SDG 8 - Decent Work and Economic Growth
SDG 9 - Industry, Innovation, and Infrastructure
title_short On stochastic aspects of impact modeling of the innovation incentive system and business internationalization
title_full On stochastic aspects of impact modeling of the innovation incentive system and business internationalization
title_fullStr On stochastic aspects of impact modeling of the innovation incentive system and business internationalization
title_full_unstemmed On stochastic aspects of impact modeling of the innovation incentive system and business internationalization
title_sort On stochastic aspects of impact modeling of the innovation incentive system and business internationalization
author Grilo, L. M.
author_facet Grilo, L. M.
Pereira, E. J.
Maidana, J. P.
Stehlík, M.
author_role author
author2 Pereira, E. J.
Maidana, J. P.
Stehlík, M.
author2_role author
author
author
dc.contributor.none.fl_str_mv CMA - Centro de Matemática e Aplicações
Faculdade de Ciências e Tecnologia (FCT)
RUN
dc.contributor.author.fl_str_mv Grilo, L. M.
Pereira, E. J.
Maidana, J. P.
Stehlík, M.
dc.subject.por.fl_str_mv innovation
PLS
stochasticity
structural equation modeling
topology in regression
Statistics and Probability
Statistics, Probability and Uncertainty
Applied Mathematics
SDG 8 - Decent Work and Economic Growth
SDG 9 - Industry, Innovation, and Infrastructure
topic innovation
PLS
stochasticity
structural equation modeling
topology in regression
Statistics and Probability
Statistics, Probability and Uncertainty
Applied Mathematics
SDG 8 - Decent Work and Economic Growth
SDG 9 - Industry, Innovation, and Infrastructure
description Funding Information: This work is funded by national funds through the 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). Publisher Copyright: © 2023 The Author(s). Published with license by Taylor & Francis Group, LLC.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-01-01T00:00:00Z
2025-03-11T21:12:57Z
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/10362/180482
url http://hdl.handle.net/10362/180482
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0736-2994
PURE: 106485542
https://doi.org/10.1080/07362994.2023.2166532
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 25
application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833602122729390080

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