Assessment of the “Disrupt-O-Meter” model by ordinal multicriteria methods
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| Format: | Artículo científico |
| Langue: | en |
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Universidade de São Paulo
2016
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| _version_ | 1876440690354814976 |
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| author | Luiz Octávio Gavião |
| author_facet | Luiz Octávio Gavião |
| contents | Assessment of the “Disrupt-O-Meter” model by ordinal multicriteria methods Luiz Octávio Gavião Fernando Toledo Ferraz Gilson Brito Alves Lima Annibal Parracho Sant’Anna Administración y Contabilidad CPP Meter Borda Disrupt Condorcet The objective of this article is to explore a potential diagnostic model, called “Disrupt-O-Meter”, about the Christensen’s disruptive innovationtheory. The diagnostic model was analyzed under multi-criteria decision aid (MCDA) methods. This diagnosis presents a typical data structure ofmulti-criteria ordinal problems. Different alternatives were evaluated under a set of criteria, using a scale of ordinal preferences. The steps of aMCDA problem were followed. The chosen methods were the Borda, the Condorcet and the Probabilistic Composition of Preferences (CPP). Thisarticle used a database from other research, about 3D printing technology startups. The results showed the best discrimination power by the CPPmethod, revealing the business category with the most disruptive potential, among other alternatives. 2016 artículo científico 1809-2039 https://www.redalyc.org/articulo.oa?id=97350436009 en http://www.redalyc.org/revista.oa?id=973 RAI - Revista de Administração e Inovação application/pdf Universidade de São Paulo RAI - Revista de Administração e Inovação (Brasil) Num.4 Vol.13 |
| format | Artículo científico |
| id | redalyc_97350436009 |
| institution | Redalyc |
| language | en |
| publishDate | 2016 |
| publisher | Universidade de São Paulo |
| spellingShingle | Assessment of the “Disrupt-O-Meter” model by ordinal multicriteria methods Luiz Octávio Gavião Administración y Contabilidad CPP Meter Borda Disrupt Condorcet Assessment of the “Disrupt-O-Meter” model by ordinal multicriteria methods Luiz Octávio Gavião Fernando Toledo Ferraz Gilson Brito Alves Lima Annibal Parracho Sant’Anna Administración y Contabilidad CPP Meter Borda Disrupt Condorcet The objective of this article is to explore a potential diagnostic model, called “Disrupt-O-Meter”, about the Christensen’s disruptive innovationtheory. The diagnostic model was analyzed under multi-criteria decision aid (MCDA) methods. This diagnosis presents a typical data structure ofmulti-criteria ordinal problems. Different alternatives were evaluated under a set of criteria, using a scale of ordinal preferences. The steps of aMCDA problem were followed. The chosen methods were the Borda, the Condorcet and the Probabilistic Composition of Preferences (CPP). Thisarticle used a database from other research, about 3D printing technology startups. The results showed the best discrimination power by the CPPmethod, revealing the business category with the most disruptive potential, among other alternatives. 2016 artículo científico 1809-2039 https://www.redalyc.org/articulo.oa?id=97350436009 en http://www.redalyc.org/revista.oa?id=973 RAI - Revista de Administração e Inovação application/pdf Universidade de São Paulo RAI - Revista de Administração e Inovação (Brasil) Num.4 Vol.13 |
| title | Assessment of the “Disrupt-O-Meter” model by ordinal multicriteria methods |
| topic | Administración y Contabilidad CPP Meter Borda Disrupt Condorcet |
| url | https://www.redalyc.org/articulo.oa?id=97350436009 |