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The use of TOPSIS for Ranking WIPO’S Innovation Indicators
Uso de TOPSIS para clasificar los indicadores de innovación de la OMPI
Uso de TOPSIS para classificar os indicadores de inovação da OMPI
DOI:
https://doi.org/10.15446/innovar.v29n73.78027Palabras clave:
Multicriteria Decision Making, Global Innovation Indicators, innovation. TOPSIS, Pearson’s Correlation (en)toma de decisiones multicriterio, indicadores de innovación global, innovación, TOPSIS, correlación de Pearson (es)
correlação de Pearson, indicadores de inovação global, inovação, apoio multicritério à decisão, TOPSIS (pt)
The purpose of this study is to study African, Asian and Oceanic countries in the World Intellectual Property Organization (WIPO) ranking of innovation indicators by means of Multicriteria Decision Making (MCDM) analysis, as a support to the methodology applied by WIPO. The quantitative methodology used is the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). This paper includes a Pearson's correlation between the indicators. Results suggest a novelty to WIPO'S methodology using Topsis as a support for ranking countries, contributing to improve the methodology of innovation indicators by joining their qualitative and quantitative perspectives and principles.
Este artículo propone estudiar los países de África, Asia y Oceanía que hacen parte del ranking de indicadores de innovación de la Organización Mundial de la Propiedad Intelectual (OMPI), a través del uso de análisis de toma de decisiones multicriterio (MCDM) como soporte a la metodología aplicada por la OMPI. La metodología cuantitativa utilizada para este fin es la Técnica de Preferencia de Orden por Similitud a Solución Ideal (TOPSIS). Este trabajo incluye además una correlación de Pearson entre los indicadores. Los resultados permiten sugerir una novedad para la metodología de la OMPI que utiliza TOPSIS para la clasificación de países, contribuyendo así a mejorar la metodología de los indicadores de innovación por medio de la unificación de sus perspectivas y sus principios cualitativos y cuantitativos.
Este artigo propõe estudar os países africanos, asiáticos e oceânicos no ranking de indicadores de inovação da Organização Mundial da Propriedade Intelectual (OMPI) por meio da análise de tomada de decisões multicritério (MCDM) como suporte para a metodologia aplicada pela OMPI. A metodologia quantitativa utilizada para esse objetivo é a Técnica para Avaliar o Desempenho das Alternativas através da Similaridade com a Solução Ideal (TOPSIS). Este trabalho inclui, além disso, uma correlação de Pearson entre os indicadores. Os resultados permitem sugerir uma novidade para a metodologia da OMPI que utiliza TOPSIS para classificar países, o que contribui para melhorar a metodologia dos indicadores de inovação por meio da unificação de suas perspectivas e de seus princípios qualitativos e quantitativos.
Referencias
Aguarón-Joven, Juan; Escobar-Urmeneta, María-Teresa; García-Alcaraz, Jorge-Luis; Moreno-Jiménez, José-María; Vega-Bonilla, Alberto (2015) . A new synthesis procedure for TOPSIS based on AHP. DYNA, 82(191), 11-19. https://doi.org/10.15446/dyna.v82n191.51140
Angilella, Silvia; Corrente, Salvatore; Greco, Salvatore; Słowinski, Roman (2016). Robust Ordinal Regression and Stochastic Multiobjective Acceptability Analysis in multiple criteria hierarchy process for the Choquet integral preference model. Omega, 63, 154-169. https://doi.org/10.1016/j.omega.2015.10.010
Angilella, Silvia; Greco, Salvatore; Matarazzo, Benedetto (2010). Nonadditive robust ordinal regression: a multiple criteria decision model based on the Choquet integral. European Journal of Operational Research, 201(1), 277-288. https://doi.org/10.1016/j.ejor.2009.02.023
Beneito, Pilar; Rochina-Barrachina, María-Engracia; Sanchis, Amparo (2014). Patents, Competition, and Firms' Innovation Incentives. Industry and Innovation, 21(4), 285-309. https://doi.org/10.1080/13662716.2014.934546
Boujelben, Mohammed-Ayman (2017). A unicriterion analysis based on the PROMETHEE principles for multicriteria ordered clustering. Omega, 69, 126-140. https://doi.org/10.1016/j.omega.2016.08.007
Romero-Ciprian, Ángelo-Adrian; Ramírez-Guapacha, Carlos-Mario (2012). Modelo de patentes como eje de innovación y desarrollo económico: una aproximación al caso sur coreano y colombiano. Revista Ensayos, 5(5), 12-41.
Cornell University; Institut Européen d'Administration des Affaires [INSEAD]; World Intellectual Property Organization [WIPO] (2015). The Global Innovation Index 2015: Effective Innovation Policies for Development. Geneva, Switzerland.
Corrente, Salvatore; Greco, Salvatore; Ishizaka, Alessio (2016). Combining analytical hierarchy process and choquet integral within non-additive robust ordinal regression. Omega, 61, 2-18. https://doi.org/10.1016/j.omega.2015.07.003
Corrente, Salvatore; Greco, Salvatore; Stowinski, Roman (2016). Multiple Criteria Hierarchy Process for Electre Tri Methods. European Journal of Operational Research, 252, 191-203. https://doi.org/10.1016/j.ejor.2015.12.053
Corrocher, Nicoletta; Solito, Ilaria (2017). "How do firms capture value from environmental innovations? An empirical analysis on European SMES". Industry and Innovation, 24(5), 569-585. https://doi.org/10.1080/13662716.2017.1302792
Evans, Jonathan; Over, David (2013). Rationality and reasoning. Hove: Psychology Press.
Franceschini, Fiorenzo; Maisano, Domenico (2015). "Checking the consistency of the solution in ordinal semi-democratic decision-making problems". Omega, 57(B), 188-195. https://doi.org/10.1016/j.omega.2015.04.014
Gibbons, Jean-Dickinson; Chakraborti, Subhabrata (2011). Nonparametric statistical inference. Florida: Chapman and Hall/CRC.
Gomes, Carlos-Francisco; Costa, Helder; Barros, Alexandre (2017). Sensibility analysis of MCDA using prospective in Brazilian energy sector. Journal of Modelling in Management, 12(3), 475-497. https://doi.org/10.1108/JM2-01-2016-0005
Gomes, Carlos-Francisco; Gomes, Luiz-Flavio-Autran (2014). Tomada de decisão gerencial: Enfoque multicritério. São Paulo: Editora Atlas.
Gomes, Carlos-Francisco; Costa, Helder (2013). Abordagem estratégica para a seleção de sistemas ERP utilizando apoio multicritério à decisão. Revista Produção Online, 13(3), 1.060-1.088. https://doi.org/10.14488/16761901.v13i3.1385
Gomes, Luiz-Flavio-Autran; Mury, Antonio-Roberto; Gomes, Carlos-Francisco (1997). Multicriteria ranking with ordinal data. Systems Analysis Modelling Simulation, 27(2), 139-145.
Hashemia, Shide-Sadat; Hajiagha, Seyed-Hossein-Razavi; Zavadskasc, Edmundas-Kazimieras; Mahdirajid, Hannan-Amoozad (2016). Multicriteria group decision making with ELECTRE III method based on interval-valued intuitionistic fuzzy information. Applied Mathematical Modelling, 40(2), 1,554-1,564. https://doi.org/10.1016/j.apm.2015.08.011
Hauke, Jan; Kossowski, Tomasz (2011). "Comparison of values of Pearson's and Spearman's correlation coefficients on the same sets of data". Quaestiones Geographicae, 30(2), 87-93. https://doi.org/10.2478/v10117-011-0021-1
Hwang, Chin-Lai; Yoon, Kwangsun (1981). Multiple attribute decision making: methods and applications survey. New York: Springer-Verlag. https://doi.org/10.1007/978-3-642-48318-9
Hites, Ronald, De-Smet, Yves; Risse, N.; Salazar-Neumann, Martha; Vincke, Philippe (2006). About the applicability of MCDA to some robustness problems. European Journal of Operational Research, 174(1), 322-332. https://doi.org/10.1016/j.ejor.2005.01.031
Jaini, Nor-Izzati; Utyuzhnikov, Sergey (2016). Trade-off ranking method for multi-criteria decision analysis. Journal of Multi-criteria Decision, 24(3-4), e1600. https://doi.org/10.1002/mcda.1600.
Kadzmski, Milosz; Ciomek, Krzysztof (2016). Integrated framework for preference modeling and robustness analysis for outranking-based multiple criteria sorting with ELECTRE and PROMETHEE. Information Sciences, 352, 167-187. https://doi.org/10.1016/j.ins.2016.02.059
Kadziński, Milosz; Greco, Salvatore; Stowinski, Roman (2014). Robust Ordinal Regression for Dominance-based Rough Set. Approach to multiple criteria sorting. Information Sciences, 283, 211-228. https://doi.org/10.1007/978-3-319-08729-0_7
Magalhães, Leila-Beatriz; Castroneves, Thiago; Carvalho-Chaves, María-Cecilia; Simões-Gomes, Carlos-Francisco; Ribeiro-Pereira, Eliane (2016). Estudo de Apoio à Decisão: a Escolha do "Camisa 10" Ideal Baseado no Método Macbeth. Revista Brasileira de Futsal e Futebol, 8(29), 113-128.
Magdy, Walid; Jones, Gareth (2010). Examining the robustness of evaluation metrics for patent retrieval with incomplete relevance judgements. In International Conference of the Cross-Language Evaluation Forum for European Languages (pp. 82-93). Dublin: Springer. https://doi.org/10.1007/978-3-642-15998-5_10
Manivannan, Raja; Kumar, Pradep (2016). Multi-response optimization of Micro-EDM process parameters on AISI304 steel using TOPSIS. Journal of Mechanical Science and Technology, 30(1), 137-144. https://doi.org/10.1007/s12206-015-1217-4
Nour, Samia-Satti-Osman-Mohamed (2013). The Incidence and Transfer of Knowledge within the Arab Societies. Journal of the Knowledge Economy, 4(4), 406-422. https://doi.org/10.1007/s13132-011-0082-3
Olwan, Rami (2011). Intellectual Property and Development: Theory and Practice. Berlin: Springer-Verlag. https://doi.org/10.1007/978-3-642-27907-2
Pereira, Fernanda-de-Carvalho; Verocai, Henrique-Dondeo; Cordeiro, Vinícius-Ribeiro; Gomes, Carlos-Francisco; Costa, Helder (2015). Bibliometric analysis of Information Systems related to Innovation. Procedia Computer Science, 55, 298-307. https://doi.org/10.1016/j.procs.2015.07.052
Pérez-Dominguez, Luis; Alvarado-Iniesta, Alejandro; Rodríguez-Borbón, Iván; Vergara-Villegas, Osslan (2015). Intuitionistic fuzzy MOORA for supplier selection. DYNA, 82(191), 34-41. https://doi.org/10.15446/dyna.v82n191.51143
Peters, Michael; Jandric, Petar; Irwin, Ruth; Locke, Kirsten; Devine, Nesta; Heraud, Richard (2016). Towards a philosophy of academic publishing. Educational Philosophy and Theory, 48(14), 1.401-1.425. https://doi.org/10.1080/00131857.2016.1240987
Pomerol, Jean-Charles; Barba-Romero, Sergio (2012). Multicriterion Decision in Management: Principles and Practice. New York: Springer. https://doi.org/10.1007/978-1-4615-4459-3
Radosevic, Slavo; Yoruk, Esin (2016). Why do we need a theory and metrics of technology upgrading? Asian Journal of Technology Innovation, 24, 8-32. https://doi.org/10.1080/19761597.2016.1207415
R-Core-Team (2016). R: A language and environment for statistical computing. http://www.r-project.org
Sampath, Padmashree-Gehl (2014). Industrial development for Africa: Trade, technology and the role of the state. African Journal of Science, Technology, Innovation and Development, 6(5), 439-453. https://doi.org/10.1080/20421338.2014.970438
Schlesinger, Philip (2017). The creative economy: invention of a global orthodoxy. Innovation: The European Journal of Social Science Research, 30(1), 73-90. https://doi.org/10.1080/13511610.2016.1201651
Silva, Marcela; Gavião, Luiz-Octávio; Gomes, Carlos-Francisco; Lima, Gilson-Brito-Alves (2017). A proposal for the application of multi-criteria analysis to rank countries according to innovation using the indicators provided by the World Intellectual Property Organization. Revista de Administração e Inovação, 14(3), 188-198. https://doi.org/10.1016/j.rai.2017.05.003
Takagi, Yo; Czaijkowski, Andrew (2012). WIPO services for access to patent information. Building patent information infrastructure and capacity in LDCS and developing countries. World Patent Information, 34(1), 30-36. https://doi.org/10.1016/jwpi.2011.08.002
Wagner, Andreas (2000). Robustness against mutations in genetic networks of yeast. Nature Genetics, 24(4), 355-361. https://doi.org/10.1038/74174
Żaka, Jacek; Kruszyńskib, Miroslaw (2015). Application of AHP and ELECTRE iii/iv methods to multiple level, multiple criteria evaluation of urban transportation projects. Transportation Research Procedia, 10, 820-830. https://doi.org/10.1016/j.trpro.2015.09.035
Zanakis, Stelios; Solomon, Anthony; Wishart, Nicole; Dublish, Sandipa (1998). Multi-attribute decision making: A simulation comparison of select methods. European Journal of Operational Research, 107, 507-529. https://doi.org/10.1016/S0377-2217(97)00147-1
Zedtwitz, Max von; Corsi, Simone; S0berg, Peder Veng; Frega, Romeo (2015). A Typology of Reverse Innovation. The Journal of Product Innovation Management, 32(1), 12-28. https://doi.org/10.1111/jpim.12181
Zyoud, Shaher; Kaufmann, Lorenz; Shaheen, Hafez; Samhan, Subhi; Fuchs-Hanusch, Daniela (2016). A framework for water loss management in developing countries under fuzzy environment: Integration of Fuzzy AHP with Fuzzy TOPSIS. Expert Systems with Applications, 61, 86-105. https://doi.org/10.1016/j.eswa.2016.05.016
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