The use of Topsis for Ranking Wipo’S Innovation Indicators
Bibliographic Data
| ID | 11634366 |
|---|---|
| Authors | Marcela Do Carmo Silva (0000-0002-6098-6380, Universidade Federal Fluminense, corresponding author), Carlos Francisco Simões Gomes (0000-0002-6865-0275, Universidade Federal Fluminense), Castelar Lino Da Costa (0000-0002-7152-1490, Universidade Federal Fluminense) |
| Year | 2019 |
| Volume | 29 |
| Issue | 73 |
| Pages | 133-148 |
| Publication date | 2019-07-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Innovar (JOURNAL) |
| Journal identifiers | ISSN: 0121-5051 • E-ISSN: 2248-6968 |
| Publisher | Universidad Nacional de Colombia (PUBLISHER • CO) |
| DOI | 10.15446/innovar.v29n73.78027 |
| OpenAlex | W2967083948 |
| Language | EN |
| Citations received | 1 |
| References cited | 37 |
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
Business · Intellectual property · Knowledge management · Management science · Multiple-criteria decision analysis · Novelty · Operations research · Preference · Quantitative analysis (chemistry · Ranking (information retrieval · Similarity (geometry · Statistics · TOPSIS · Artificial Intelligence · Computer Science · Economic and Technological Innovation · Engineering · Mathematics · Psychology · Social Psychology
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |