• Türkçe
    • English
  • English 
    • Türkçe
    • English
  • Login
View Item 
  •   Home
  • Avesis
  • Dokümanı Olmayanlar
  • Makale
  • View Item
  •   Home
  • Avesis
  • Dokümanı Olmayanlar
  • Makale
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

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

Date
2021
Author
Timor, Mehpare
Erdin, Ceren
Özkaya, Gökhan
Metadata
Show full item record
Abstract
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.
URI
http://hdl.handle.net/20.500.12627/87339
https://doi.org/10.3390/su13020694
https://www.mdpi.com/2071-1050/13/2/694
Collections
  • Makale [92796]

Creative Commons Lisansı

İstanbul Üniversitesi Akademik Arşiv Sistemi (ilgili içerikte aksi belirtilmediği sürece) Creative Commons Alıntı-GayriTicari-Türetilemez 4.0 Uluslararası Lisansı ile lisanslanmıştır.

DSpace software copyright © 2002-2016  DuraSpace
Contact Us | Send Feedback
Theme by 
Atmire NV
 

 


Hakkımızda
Açık Erişim PolitikasıVeri Giriş Rehberleriİletişim
sherpa/romeo
Dergi Adı/ISSN || Yayıncı

Exact phrase only All keywords Any

BaşlıkbaşlayaniçerenISSN

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsTypesThis CollectionBy Issue DateAuthorsTitlesSubjectsTypes

My Account

LoginRegister

Creative Commons Lisansı

İstanbul Üniversitesi Akademik Arşiv Sistemi (ilgili içerikte aksi belirtilmediği sürece) Creative Commons Alıntı-GayriTicari-Türetilemez 4.0 Uluslararası Lisansı ile lisanslanmıştır.

DSpace software copyright © 2002-2016  DuraSpace
Contact Us | Send Feedback
Theme by 
Atmire NV