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 identify, classify and systematically analyze these indicators in order to
measure, monitor and improve the performance of STI. The study includes a literature review on
global problems and new trends in STI policies, while mentioning the necessity of an internationally
comparable STI indicator set, current STI indicator studies and efforts, and studies for each continent.
In light of these, all the indicators selected are introduced in detail. The strengths and weaknesses of
the countries in the study in terms of evaluation indicator values are indicated. After determining
the indicator weights objectively with the entropy method, 40 countries are compared with TOPSIS,
VIKOR, PROMETHEE I-II, ARAS, COPRAS, MULTIMOORA, ELECTRE, SAW and MAUT methods.
In addition, countries that show similarities with each other are evaluated by cluster analysis, which
is one of the data mining classification methods. This study offers a new and original approach with
MCDM methods on this subject. Considering all the results obtained in the study together, these
rankings are compared among themselves and with the rankings specified in the Global Innovation
(2019) and Global Competitiveness (2019) indices, and it is seen that the results are consistent. In
addition, it is possible to update and publish this study every year with updated data.