Thesis Type: Doctorate

Institution Of The Thesis: Istanbul University, Institute of Social Sciences, İşletme Fakültesi Bölümü, Turkey

Approval Date: 2021

Thesis Language: Turkish


Supervisor: Mehpare Timor


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 with available data on the determined indicators are compared with cluster analysis, Gray Relational Analysis (GRA), TOPSIS, VIKOR, PROMETHEE I-II, ARAS, COPRAS, MULTIMOORA, ELECTRE, SAW and MAUT methods. The aim of the study is to enable decision-makers, researchers and policy makers to better understand the STI indicators and their dimensions and to produce more effective and efficient policies with the perspective of the current literature on this subject. 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.