Global Innovation Indicators analysed by multicriteria decision
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
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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oai:ojs.bjopm.org.br:article/907 |
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ABEPRO |
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Brazilian Journal of Operations & Production Management (Online) |
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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 |
_version_ |
1797051461469732864 |