The econometrics of knowledge Central Banks as power-houses of scientific breakthroughs

Detalhes bibliográficos
Autor(a) principal: Santos, Gonçalo Pereira dos
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/149637
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
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spelling The econometrics of knowledge Central Banks as power-houses of scientific breakthroughsCentral Bankslearning economyknowledge-based organizationsMarkov-ChainsscientometricsDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceCentral Banks can be seen as knowledge-based institutions imbedded in a learning economy that, due to their purpose and modus operandi, play a central role on the economic landscape all over the world, either regarding the analysis of past events, as well as by their impact on future changes due to their decisions. Their roles, purpose and objectives reflect the way they look at the economy and the way they see themselves as part of this construct. Therefore, the knowledge they produce, and publish, is a fruitful source to analyze the way Central Banks position themselves on this learning economy. An analysis of these publications, throughout the years and regarding a variety of journals, across several different countries, will be performed on this dissertation. Central Bank’s importance within the Knowledge-Based economy will be analysed through Bibliometric methods, while Markov Chains will allow us to check the transition probability from a state to another, thus leading to an understanding of the impact that systemic changes have on the focus that Central Banks have on their different objectives. Additionally, a sentiment analysis performed over the titles and abstracts of their publications over the past 40 years allowed us to perceive the inexistent difference in behaviors overs more core or peripheral countries Central Banks.Damásio, Bruno Miguel PintoMendonça, Sandro Miguel FerreiraRUNSantos, Gonçalo Pereira dos2023-02-24T11:09:40Z2022-11-172022-11-17T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/149637TID:203236637enginfo: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:RCAAP2024-03-11T05:31:32Zoai:run.unl.pt:10362/149637Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:53:49.218295Repositório 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 The econometrics of knowledge Central Banks as power-houses of scientific breakthroughs
title The econometrics of knowledge Central Banks as power-houses of scientific breakthroughs
spellingShingle The econometrics of knowledge Central Banks as power-houses of scientific breakthroughs
Santos, Gonçalo Pereira dos
Central Banks
learning economy
knowledge-based organizations
Markov-Chains
scientometrics
title_short The econometrics of knowledge Central Banks as power-houses of scientific breakthroughs
title_full The econometrics of knowledge Central Banks as power-houses of scientific breakthroughs
title_fullStr The econometrics of knowledge Central Banks as power-houses of scientific breakthroughs
title_full_unstemmed The econometrics of knowledge Central Banks as power-houses of scientific breakthroughs
title_sort The econometrics of knowledge Central Banks as power-houses of scientific breakthroughs
author Santos, Gonçalo Pereira dos
author_facet Santos, Gonçalo Pereira dos
author_role author
dc.contributor.none.fl_str_mv Damásio, Bruno Miguel Pinto
Mendonça, Sandro Miguel Ferreira
RUN
dc.contributor.author.fl_str_mv Santos, Gonçalo Pereira dos
dc.subject.por.fl_str_mv Central Banks
learning economy
knowledge-based organizations
Markov-Chains
scientometrics
topic Central Banks
learning economy
knowledge-based organizations
Markov-Chains
scientometrics
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
publishDate 2022
dc.date.none.fl_str_mv 2022-11-17
2022-11-17T00:00:00Z
2023-02-24T11:09:40Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/149637
TID:203236637
url http://hdl.handle.net/10362/149637
identifier_str_mv TID:203236637
dc.language.iso.fl_str_mv eng
language eng
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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repository.mail.fl_str_mv
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