Multicriteria decision choices for investment in innovative upper-middle income countries

Detalhes bibliográficos
Autor(a) principal: Silva, Marcela do Carmo
Data de Publicação: 2020
Outros Autores: Helder, Helder, Simões Gomes, Carlos Francisco
Tipo de documento: Artigo
Título da fonte: Revista de Administração e Inovação
Texto Completo: https://www.revistas.usp.br/rai/article/view/177214
Resumo: Purpose – The purpose of this paper is to observe how to invest in upper-middle income countries via an innovation perspective following global innovation index (GII) by multicriteria decision aid (MCDA) approach, once MCDA was designed to support subjective decisions. Design/methodology/approach – Pearson’s correlation was the milestone for understanding innovation indicators at upper-middle income countries profiles. In a MCDA first step, the analytical hierarchy process (AHP) was applied to obtain the criteria weight. In this step, the judgments or evaluations inputted in AHP were collected from a sample composed by five experts in GII. After getting the criteria weights compose to GII, Borda and Preference Ranking Organization Method for Enrichment Evaluations (PROMÉTHÉE) methods were applied to obtain an MCDA-based GII. The inputs for this second step were: the weights come from AHP output; and the countries performance came from GII data. Findings – As a result, it was found out the upper-middle countries’ rank to invest and groups with countries acting like “hubs” or “bridges” for economic sectors in near countries; when they are grouped according to their maximum and minimum scores profiles, observing not only a particular region but also similar profiles at diverse world areas. Originality/value – Pearson-AHP-PROMÉTHÉE works as a supportive decision tool for several and complex investment perspectives from criteria and alternatives analysis regarding innovation indicators for upper-middle income countries. This combination also demonstrates grouping possibilities, aligning profiles and not only ranking countries for investment and eliminating others but also grouping countries with similar profiles via innovation indicators MCDA combined application.
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spelling Multicriteria decision choices for investment in innovative upper-middle income countriesMCDAAHPGlobal innovation indexPearsonWorld intellectual property organizationPROMÉTHÉEPurpose – The purpose of this paper is to observe how to invest in upper-middle income countries via an innovation perspective following global innovation index (GII) by multicriteria decision aid (MCDA) approach, once MCDA was designed to support subjective decisions. Design/methodology/approach – Pearson’s correlation was the milestone for understanding innovation indicators at upper-middle income countries profiles. In a MCDA first step, the analytical hierarchy process (AHP) was applied to obtain the criteria weight. In this step, the judgments or evaluations inputted in AHP were collected from a sample composed by five experts in GII. After getting the criteria weights compose to GII, Borda and Preference Ranking Organization Method for Enrichment Evaluations (PROMÉTHÉE) methods were applied to obtain an MCDA-based GII. The inputs for this second step were: the weights come from AHP output; and the countries performance came from GII data. Findings – As a result, it was found out the upper-middle countries’ rank to invest and groups with countries acting like “hubs” or “bridges” for economic sectors in near countries; when they are grouped according to their maximum and minimum scores profiles, observing not only a particular region but also similar profiles at diverse world areas. Originality/value – Pearson-AHP-PROMÉTHÉE works as a supportive decision tool for several and complex investment perspectives from criteria and alternatives analysis regarding innovation indicators for upper-middle income countries. This combination also demonstrates grouping possibilities, aligning profiles and not only ranking countries for investment and eliminating others but also grouping countries with similar profiles via innovation indicators MCDA combined application.Universidade de São Paulo. Faculdade de Economia, Administração e Contabilidade2020-11-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://www.revistas.usp.br/rai/article/view/17721410.1108/INMR-02-2019-0016INMR - Innovation & Management Review; v. 17 n. 3 (2020); 321;3471809-2039reponame:Revista de Administração e Inovaçãoinstname:Universidade de São Paulo (USP)instacron:USPhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSilva, Marcela do CarmoHelder, HelderSimões Gomes, Carlos Francisco2020-11-05T21:18:28Zoai:revistas.usp.br:article/177214Revistahttp://www.viannajr.edu.br/wp-content/uploads/2016/01/raiPUBhttp://www.revistas.usp.br/viaatlantica/oairevistarai@usp.br||tatianepgt@revistarai.org1809-20391809-2039opendoar:2020-11-05T21:18:28Revista de Administração e Inovação - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Multicriteria decision choices for investment in innovative upper-middle income countries
title Multicriteria decision choices for investment in innovative upper-middle income countries
spellingShingle Multicriteria decision choices for investment in innovative upper-middle income countries
Silva, Marcela do Carmo
MCDA
AHP
Global innovation index
Pearson
World intellectual property organization
PROMÉTHÉE
title_short Multicriteria decision choices for investment in innovative upper-middle income countries
title_full Multicriteria decision choices for investment in innovative upper-middle income countries
title_fullStr Multicriteria decision choices for investment in innovative upper-middle income countries
title_full_unstemmed Multicriteria decision choices for investment in innovative upper-middle income countries
title_sort Multicriteria decision choices for investment in innovative upper-middle income countries
author Silva, Marcela do Carmo
author_facet Silva, Marcela do Carmo
Helder, Helder
Simões Gomes, Carlos Francisco
author_role author
author2 Helder, Helder
Simões Gomes, Carlos Francisco
author2_role author
author
dc.contributor.author.fl_str_mv Silva, Marcela do Carmo
Helder, Helder
Simões Gomes, Carlos Francisco
dc.subject.por.fl_str_mv MCDA
AHP
Global innovation index
Pearson
World intellectual property organization
PROMÉTHÉE
topic MCDA
AHP
Global innovation index
Pearson
World intellectual property organization
PROMÉTHÉE
description Purpose – The purpose of this paper is to observe how to invest in upper-middle income countries via an innovation perspective following global innovation index (GII) by multicriteria decision aid (MCDA) approach, once MCDA was designed to support subjective decisions. Design/methodology/approach – Pearson’s correlation was the milestone for understanding innovation indicators at upper-middle income countries profiles. In a MCDA first step, the analytical hierarchy process (AHP) was applied to obtain the criteria weight. In this step, the judgments or evaluations inputted in AHP were collected from a sample composed by five experts in GII. After getting the criteria weights compose to GII, Borda and Preference Ranking Organization Method for Enrichment Evaluations (PROMÉTHÉE) methods were applied to obtain an MCDA-based GII. The inputs for this second step were: the weights come from AHP output; and the countries performance came from GII data. Findings – As a result, it was found out the upper-middle countries’ rank to invest and groups with countries acting like “hubs” or “bridges” for economic sectors in near countries; when they are grouped according to their maximum and minimum scores profiles, observing not only a particular region but also similar profiles at diverse world areas. Originality/value – Pearson-AHP-PROMÉTHÉE works as a supportive decision tool for several and complex investment perspectives from criteria and alternatives analysis regarding innovation indicators for upper-middle income countries. This combination also demonstrates grouping possibilities, aligning profiles and not only ranking countries for investment and eliminating others but also grouping countries with similar profiles via innovation indicators MCDA combined application.
publishDate 2020
dc.date.none.fl_str_mv 2020-11-05
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistas.usp.br/rai/article/view/177214
10.1108/INMR-02-2019-0016
url https://www.revistas.usp.br/rai/article/view/177214
identifier_str_mv 10.1108/INMR-02-2019-0016
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade de São Paulo. Faculdade de Economia, Administração e Contabilidade
publisher.none.fl_str_mv Universidade de São Paulo. Faculdade de Economia, Administração e Contabilidade
dc.source.none.fl_str_mv INMR - Innovation & Management Review; v. 17 n. 3 (2020); 321;347
1809-2039
reponame:Revista de Administração e Inovação
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Revista de Administração e Inovação
collection Revista de Administração e Inovação
repository.name.fl_str_mv Revista de Administração e Inovação - Universidade de São Paulo (USP)
repository.mail.fl_str_mv revistarai@usp.br||tatianepgt@revistarai.org
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