ASSESSMENT OF THE “DISRUPT-O-METER” MODEL BY ORDINAL MULTICRITERIA METHODS

Detalhes bibliográficos
Autor(a) principal: Gavião, Luiz Octávio
Data de Publicação: 2017
Outros Autores: Ferraz, Fernando Toledo, Lima, Gilson Brito Alves, Sant'Anna, Annibal Parracho
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista de Administração e Inovação
Texto Completo: https://www.revistas.usp.br/rai/article/view/108324
Resumo: The objective of this article is to explore a potential diagnostic model, called “Disrupt-O-Meter”, about the Christensen’s disruptive innovation theory. The diagnostic model was analyzed under multi-criteria decision aid (MCDA) methods. This diagnosis presents a typical data structure of multi-criteria ordinal problems. Different alternatives were evaluated under a set of criteria, using a scale of ordinal preferences. The steps of a MCDA problem were followed. The chosen methods were the Borda, the Condorcet and the Probabilistic Composition of Preferences (CPP). This article used a database from other research, about 3D printing technology startups. The results showed the best discrimination power by the CPP method, revealing the business category with the most disruptive potential, among other alternatives.
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spelling ASSESSMENT OF THE “DISRUPT-O-METER” MODEL BY ORDINAL MULTICRITERIA METHODSDisruptive innovationDisrupt-O-MeterBordaCondorcetCPPThe objective of this article is to explore a potential diagnostic model, called “Disrupt-O-Meter”, about the Christensen’s disruptive innovation theory. The diagnostic model was analyzed under multi-criteria decision aid (MCDA) methods. This diagnosis presents a typical data structure of multi-criteria ordinal problems. Different alternatives were evaluated under a set of criteria, using a scale of ordinal preferences. The steps of a MCDA problem were followed. The chosen methods were the Borda, the Condorcet and the Probabilistic Composition of Preferences (CPP). This article used a database from other research, about 3D printing technology startups. The results showed the best discrimination power by the CPP method, revealing the business category with the most disruptive potential, among other alternatives.Universidade de São Paulo. Faculdade de Economia, Administração e Contabilidade2017-06-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/rai/article/view/108324INMR - Innovation & Management Review; v. 13 n. 4 (2016); 305-3142515-8961reponame:Revista de Administração e Inovaçãoinstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/rai/article/view/108324/129480Gavião, Luiz OctávioFerraz, Fernando ToledoLima, Gilson Brito AlvesSant'Anna, Annibal Parrachoinfo:eu-repo/semantics/openAccess2018-08-08T13:16:19Zoai:revistas.usp.br:article/108324Revistahttp://www.viannajr.edu.br/wp-content/uploads/2016/01/raiPUBhttp://www.revistas.usp.br/viaatlantica/oairevistarai@usp.br||tatianepgt@revistarai.org1809-20391809-2039opendoar:2018-08-08T13:16:19Revista de Administração e Inovação - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv ASSESSMENT OF THE “DISRUPT-O-METER” MODEL BY ORDINAL MULTICRITERIA METHODS
title ASSESSMENT OF THE “DISRUPT-O-METER” MODEL BY ORDINAL MULTICRITERIA METHODS
spellingShingle ASSESSMENT OF THE “DISRUPT-O-METER” MODEL BY ORDINAL MULTICRITERIA METHODS
Gavião, Luiz Octávio
Disruptive innovation
Disrupt-O-Meter
Borda
Condorcet
CPP
title_short ASSESSMENT OF THE “DISRUPT-O-METER” MODEL BY ORDINAL MULTICRITERIA METHODS
title_full ASSESSMENT OF THE “DISRUPT-O-METER” MODEL BY ORDINAL MULTICRITERIA METHODS
title_fullStr ASSESSMENT OF THE “DISRUPT-O-METER” MODEL BY ORDINAL MULTICRITERIA METHODS
title_full_unstemmed ASSESSMENT OF THE “DISRUPT-O-METER” MODEL BY ORDINAL MULTICRITERIA METHODS
title_sort ASSESSMENT OF THE “DISRUPT-O-METER” MODEL BY ORDINAL MULTICRITERIA METHODS
author Gavião, Luiz Octávio
author_facet Gavião, Luiz Octávio
Ferraz, Fernando Toledo
Lima, Gilson Brito Alves
Sant'Anna, Annibal Parracho
author_role author
author2 Ferraz, Fernando Toledo
Lima, Gilson Brito Alves
Sant'Anna, Annibal Parracho
author2_role author
author
author
dc.contributor.author.fl_str_mv Gavião, Luiz Octávio
Ferraz, Fernando Toledo
Lima, Gilson Brito Alves
Sant'Anna, Annibal Parracho
dc.subject.por.fl_str_mv Disruptive innovation
Disrupt-O-Meter
Borda
Condorcet
CPP
topic Disruptive innovation
Disrupt-O-Meter
Borda
Condorcet
CPP
description The objective of this article is to explore a potential diagnostic model, called “Disrupt-O-Meter”, about the Christensen’s disruptive innovation theory. The diagnostic model was analyzed under multi-criteria decision aid (MCDA) methods. This diagnosis presents a typical data structure of multi-criteria ordinal problems. Different alternatives were evaluated under a set of criteria, using a scale of ordinal preferences. The steps of a MCDA problem were followed. The chosen methods were the Borda, the Condorcet and the Probabilistic Composition of Preferences (CPP). This article used a database from other research, about 3D printing technology startups. The results showed the best discrimination power by the CPP method, revealing the business category with the most disruptive potential, among other alternatives.
publishDate 2017
dc.date.none.fl_str_mv 2017-06-06
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/108324
url https://www.revistas.usp.br/rai/article/view/108324
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/rai/article/view/108324/129480
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 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. 13 n. 4 (2016); 305-314
2515-8961
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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