Global Innovation Indicators analysed by multicriteria decision

Detalhes bibliográficos
Autor(a) principal: Silva, Marcela do Carmo
Data de Publicação: 2020
Outros Autores: Gavião, Luiz Octávio, Gomes, Carlos Francisco Simões, Lima, Gilson Brito Alves
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Operations & Production Management (Online)
Texto Completo: https://bjopm.org.br/bjopm/article/view/907
Resumo: Goal: This paper analyses how European countries of Global Innovation Indicators (GII) present in the ranking by multicriteria support aid analysis. Design / Methodology / Approach: The methodology uses Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for ranking countries and PROMETHÉE (Preference Ranking Organisation Method for Enrichment Evaluations) for outranking them. Results: There was change in 30 ordered positions from 39 countries observed. At non-compensatory method the overrating become “easier” than the compensatory method, especially when there are many alternatives and criteria for computing with small difference among values. Limitations of the investigation: It is only used the GII 2015 Europe for continuing investigations about MCDA realized for Latin America (2017) and Asia and Africa (2019). Practical implications: The applications result in a different understanding about TOPSIS ranking application, from original score list at GII; and also the perception of organized groups at outranking application. Originality / Value: Observing GII via MCDA is possible to see changing’s in the ranking according to countries profiles different from GII raking. Although European profiles seem to be similar, it is important to observe other perspective of grouping by them; suggesting quantitative studies inclusion and innovative trends.
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spelling Global Innovation Indicators analysed by multicriteria decisionMulticriteria Decision AidMCDAGlobal Innovation IndicatorsTOPSISPROMETHÉEGoal: This paper analyses how European countries of Global Innovation Indicators (GII) present in the ranking by multicriteria support aid analysis. Design / Methodology / Approach: The methodology uses Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for ranking countries and PROMETHÉE (Preference Ranking Organisation Method for Enrichment Evaluations) for outranking them. Results: There was change in 30 ordered positions from 39 countries observed. At non-compensatory method the overrating become “easier” than the compensatory method, especially when there are many alternatives and criteria for computing with small difference among values. Limitations of the investigation: It is only used the GII 2015 Europe for continuing investigations about MCDA realized for Latin America (2017) and Asia and Africa (2019). Practical implications: The applications result in a different understanding about TOPSIS ranking application, from original score list at GII; and also the perception of organized groups at outranking application. Originality / Value: Observing GII via MCDA is possible to see changing’s in the ranking according to countries profiles different from GII raking. Although European profiles seem to be similar, it is important to observe other perspective of grouping by them; suggesting quantitative studies inclusion and innovative trends.Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)2020-10-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionResearch paperapplication/pdfhttps://bjopm.org.br/bjopm/article/view/90710.14488/BJOPM.2020.040Brazilian Journal of Operations & Production Management; Vol. 17 No. 4 (2020); 1-172237-8960reponame:Brazilian Journal of Operations & Production Management (Online)instname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROenghttps://bjopm.org.br/bjopm/article/view/907/950Copyright (c) 2020 Marcela do Carmo Silva, Luiz Octávio Gavião, Carlos Francisco Simões Gomes, Gilson Brito Alves Limainfo:eu-repo/semantics/openAccessSilva, Marcela do CarmoGavião, Luiz OctávioGomes, Carlos Francisco SimõesLima, Gilson Brito Alves2020-10-07T12:40:15Zoai:ojs.bjopm.org.br:article/907Revistahttps://bjopm.org.br/bjopmONGhttps://bjopm.org.br/bjopm/oaibjopm.journal@gmail.com2237-89601679-8171opendoar:2023-03-13T09:45:23.968524Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)false
dc.title.none.fl_str_mv Global Innovation Indicators analysed by multicriteria decision
title Global Innovation Indicators analysed by multicriteria decision
spellingShingle Global Innovation Indicators analysed by multicriteria decision
Silva, Marcela do Carmo
Multicriteria Decision Aid
MCDA
Global Innovation Indicators
TOPSIS
PROMETHÉE
title_short Global Innovation Indicators analysed by multicriteria decision
title_full Global Innovation Indicators analysed by multicriteria decision
title_fullStr Global Innovation Indicators analysed by multicriteria decision
title_full_unstemmed Global Innovation Indicators analysed by multicriteria decision
title_sort Global Innovation Indicators analysed by multicriteria decision
author Silva, Marcela do Carmo
author_facet Silva, Marcela do Carmo
Gavião, Luiz Octávio
Gomes, Carlos Francisco Simões
Lima, Gilson Brito Alves
author_role author
author2 Gavião, Luiz Octávio
Gomes, Carlos Francisco Simões
Lima, Gilson Brito Alves
author2_role author
author
author
dc.contributor.author.fl_str_mv Silva, Marcela do Carmo
Gavião, Luiz Octávio
Gomes, Carlos Francisco Simões
Lima, Gilson Brito Alves
dc.subject.por.fl_str_mv Multicriteria Decision Aid
MCDA
Global Innovation Indicators
TOPSIS
PROMETHÉE
topic Multicriteria Decision Aid
MCDA
Global Innovation Indicators
TOPSIS
PROMETHÉE
description Goal: This paper analyses how European countries of Global Innovation Indicators (GII) present in the ranking by multicriteria support aid analysis. Design / Methodology / Approach: The methodology uses Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for ranking countries and PROMETHÉE (Preference Ranking Organisation Method for Enrichment Evaluations) for outranking them. Results: There was change in 30 ordered positions from 39 countries observed. At non-compensatory method the overrating become “easier” than the compensatory method, especially when there are many alternatives and criteria for computing with small difference among values. Limitations of the investigation: It is only used the GII 2015 Europe for continuing investigations about MCDA realized for Latin America (2017) and Asia and Africa (2019). Practical implications: The applications result in a different understanding about TOPSIS ranking application, from original score list at GII; and also the perception of organized groups at outranking application. Originality / Value: Observing GII via MCDA is possible to see changing’s in the ranking according to countries profiles different from GII raking. Although European profiles seem to be similar, it is important to observe other perspective of grouping by them; suggesting quantitative studies inclusion and innovative trends.
publishDate 2020
dc.date.none.fl_str_mv 2020-10-06
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Research paper
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://bjopm.org.br/bjopm/article/view/907
10.14488/BJOPM.2020.040
url https://bjopm.org.br/bjopm/article/view/907
identifier_str_mv 10.14488/BJOPM.2020.040
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://bjopm.org.br/bjopm/article/view/907/950
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)
publisher.none.fl_str_mv Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)
dc.source.none.fl_str_mv Brazilian Journal of Operations & Production Management; Vol. 17 No. 4 (2020); 1-17
2237-8960
reponame:Brazilian Journal of Operations & Production Management (Online)
instname:Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron:ABEPRO
instname_str Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron_str ABEPRO
institution ABEPRO
reponame_str Brazilian Journal of Operations & Production Management (Online)
collection Brazilian Journal of Operations & Production Management (Online)
repository.name.fl_str_mv Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)
repository.mail.fl_str_mv bjopm.journal@gmail.com
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