Big data analytics on patents for innovation public policies

Detalhes bibliográficos
Autor(a) principal: Sousa, Maria José
Data de Publicação: 2021
Outros Autores: Jamil, George, Walter, Cicero Eduardo, Au-Yong-Oliveira, Manuel, Moreira, Fernando
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/11328/3418
https://doi.org/10.1111/exsy.12673
Resumo: This study seeks to answer the following research question: “What factors can explain the number of patent filing requests made by residents in Brazil at patent offices in Brazil, the United States, Europe, and triadic patent families?”. The methods used in this research are quantitative, using big data from private and public investments in Science and Technology, and about patent deposit numbers in Brazil from 2000 to 2017. A model of linear regression was performed and explains how these investments in Science and Technology influence patent deposit numbers. The results of this research study point towards the importance of universities, up and beyond the traditional training and education aspect of university activity. The importance of public and private innovation investments is also shown to be important. This study shows that the patent registrations in the different regions under analysis are affected by different factors. There is thus no single formula towards the creation of innovation output and governments would do well to continue to invest in higher education while also investing in public research and development activities. Additionally, and not least important, private entities should be continually encouraged to make innovation investments and favourable government policies need to thus exist for this to happen. Finally, the low numbers regarding patent filings in Brazil may be linked to institutional deficiencies in the country. Patent breaches may be difficult to punish, and the judicial system may be slow and untrustworthy, compared to the United States and to Europe—leading to diminished patent registrations in Brazil. A set of implications and recommendations for policy derived from this study and will be strategic for policymakers.
id RCAP_c168fd865db68920737ec8555c07a556
oai_identifier_str oai:repositorio.upt.pt:11328/3418
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Big data analytics on patents for innovation public policiesAnalyticsInnovation outputPatentsPublic policiesResidents in BrazilThis study seeks to answer the following research question: “What factors can explain the number of patent filing requests made by residents in Brazil at patent offices in Brazil, the United States, Europe, and triadic patent families?”. The methods used in this research are quantitative, using big data from private and public investments in Science and Technology, and about patent deposit numbers in Brazil from 2000 to 2017. A model of linear regression was performed and explains how these investments in Science and Technology influence patent deposit numbers. The results of this research study point towards the importance of universities, up and beyond the traditional training and education aspect of university activity. The importance of public and private innovation investments is also shown to be important. This study shows that the patent registrations in the different regions under analysis are affected by different factors. There is thus no single formula towards the creation of innovation output and governments would do well to continue to invest in higher education while also investing in public research and development activities. Additionally, and not least important, private entities should be continually encouraged to make innovation investments and favourable government policies need to thus exist for this to happen. Finally, the low numbers regarding patent filings in Brazil may be linked to institutional deficiencies in the country. Patent breaches may be difficult to punish, and the judicial system may be slow and untrustworthy, compared to the United States and to Europe—leading to diminished patent registrations in Brazil. A set of implications and recommendations for policy derived from this study and will be strategic for policymakers.Wiley2021-04-13T09:32:44Z2021-04-132021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfSousa, M. J., Jamil, G., Walter, C. E., Au-Yong-Oliveira, M., & Moreira, F. (2021). Big data analytics on patents for innovation public policies. Expert Systems, e12673, (1-10). doi: 10.1111/exsy.12673. Disponível no Repositório UPT, http://hdl.handle.net/11328/3418http://hdl.handle.net/11328/3418Sousa, M. J., Jamil, G., Walter, C. E., Au-Yong-Oliveira, M., & Moreira, F. (2021). Big data analytics on patents for innovation public policies. Expert Systems, e12673, (1-10). doi: 10.1111/exsy.12673. Disponível no Repositório UPT, http://hdl.handle.net/11328/3418http://hdl.handle.net/11328/3418https://doi.org/10.1111/exsy.12673eng0266-4720 (Print)1468-0394 (Online)https://onlinelibrary.wiley.com/doi/epdf/10.1111/exsy.12673http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessSousa, Maria JoséJamil, GeorgeWalter, Cicero EduardoAu-Yong-Oliveira, ManuelMoreira, Fernandoreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-16T02:03:18Zoai:repositorio.upt.pt:11328/3418Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:38:46.162682Repositório 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 Big data analytics on patents for innovation public policies
title Big data analytics on patents for innovation public policies
spellingShingle Big data analytics on patents for innovation public policies
Sousa, Maria José
Analytics
Innovation output
Patents
Public policies
Residents in Brazil
title_short Big data analytics on patents for innovation public policies
title_full Big data analytics on patents for innovation public policies
title_fullStr Big data analytics on patents for innovation public policies
title_full_unstemmed Big data analytics on patents for innovation public policies
title_sort Big data analytics on patents for innovation public policies
author Sousa, Maria José
author_facet Sousa, Maria José
Jamil, George
Walter, Cicero Eduardo
Au-Yong-Oliveira, Manuel
Moreira, Fernando
author_role author
author2 Jamil, George
Walter, Cicero Eduardo
Au-Yong-Oliveira, Manuel
Moreira, Fernando
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Sousa, Maria José
Jamil, George
Walter, Cicero Eduardo
Au-Yong-Oliveira, Manuel
Moreira, Fernando
dc.subject.por.fl_str_mv Analytics
Innovation output
Patents
Public policies
Residents in Brazil
topic Analytics
Innovation output
Patents
Public policies
Residents in Brazil
description This study seeks to answer the following research question: “What factors can explain the number of patent filing requests made by residents in Brazil at patent offices in Brazil, the United States, Europe, and triadic patent families?”. The methods used in this research are quantitative, using big data from private and public investments in Science and Technology, and about patent deposit numbers in Brazil from 2000 to 2017. A model of linear regression was performed and explains how these investments in Science and Technology influence patent deposit numbers. The results of this research study point towards the importance of universities, up and beyond the traditional training and education aspect of university activity. The importance of public and private innovation investments is also shown to be important. This study shows that the patent registrations in the different regions under analysis are affected by different factors. There is thus no single formula towards the creation of innovation output and governments would do well to continue to invest in higher education while also investing in public research and development activities. Additionally, and not least important, private entities should be continually encouraged to make innovation investments and favourable government policies need to thus exist for this to happen. Finally, the low numbers regarding patent filings in Brazil may be linked to institutional deficiencies in the country. Patent breaches may be difficult to punish, and the judicial system may be slow and untrustworthy, compared to the United States and to Europe—leading to diminished patent registrations in Brazil. A set of implications and recommendations for policy derived from this study and will be strategic for policymakers.
publishDate 2021
dc.date.none.fl_str_mv 2021-04-13T09:32:44Z
2021-04-13
2021-01-01T00:00:00Z
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 Sousa, M. J., Jamil, G., Walter, C. E., Au-Yong-Oliveira, M., & Moreira, F. (2021). Big data analytics on patents for innovation public policies. Expert Systems, e12673, (1-10). doi: 10.1111/exsy.12673. Disponível no Repositório UPT, http://hdl.handle.net/11328/3418
http://hdl.handle.net/11328/3418
Sousa, M. J., Jamil, G., Walter, C. E., Au-Yong-Oliveira, M., & Moreira, F. (2021). Big data analytics on patents for innovation public policies. Expert Systems, e12673, (1-10). doi: 10.1111/exsy.12673. Disponível no Repositório UPT, http://hdl.handle.net/11328/3418
http://hdl.handle.net/11328/3418
https://doi.org/10.1111/exsy.12673
identifier_str_mv Sousa, M. J., Jamil, G., Walter, C. E., Au-Yong-Oliveira, M., & Moreira, F. (2021). Big data analytics on patents for innovation public policies. Expert Systems, e12673, (1-10). doi: 10.1111/exsy.12673. Disponível no Repositório UPT, http://hdl.handle.net/11328/3418
url http://hdl.handle.net/11328/3418
https://doi.org/10.1111/exsy.12673
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0266-4720 (Print)
1468-0394 (Online)
https://onlinelibrary.wiley.com/doi/epdf/10.1111/exsy.12673
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
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
repository.mail.fl_str_mv
_version_ 1799134947159572480