Science, Technology and Innovation Policy Indicators and Comparisons of Countries through a Hybrid Model of Data Mining and MCDM Methods

• Published in: Sustainability Vol. 13; no. 2; p. 694
• Main Authors: Ozkaya, Gokhan, Timor, Mehpare, Erdin, Ceren
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.01.2021
• Subjects: Cluster analysis; Competition; Competitive advantage; Data mining; Decision making; Developing countries; Exports; Industrialized nations; International comparisons; LDCs; Macroeconomics; Methods; Nonresidents; R&D; Research & development; Research & development expenditures; Science; Trademarks; South Africa; China

Science, technology and innovation (STI) policies are of great importance for countries to reach their sustainable development goals. Numerous global databases have many indicators that measure and compare the performance of STI policies of countries. However, many problems arise regarding how to id...