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

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  • Gokhan Ozkaya

    (Department of Business Administration, Faculty of Economics and Administrative Sciences, Yildiz Technical University, 34220 Istanbul, Turkey
    Institute of Social Sciences, Quantitative Methods, Istanbul University, 34119 Istanbul, Turkey)

  • Mehpare Timor

    (School of Business, Quantitative Methods, Istanbul University, 34320 Istanbul, Turkey)

  • Ceren Erdin

    (Department of Business Administration, Faculty of Economics and Administrative Sciences, Yildiz Technical University, 34220 Istanbul, Turkey)

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.

Suggested Citation

  • Gokhan Ozkaya & Mehpare Timor & Ceren Erdin, 2021. "Science, Technology and Innovation Policy Indicators and Comparisons of Countries through a Hybrid Model of Data Mining and MCDM Methods," Sustainability, MDPI, vol. 13(2), pages 1-49, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:694-:d:479270
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    1. Lai, Young-Jou & Liu, Ting-Yun & Hwang, Ching-Lai, 1994. "TOPSIS for MODM," European Journal of Operational Research, Elsevier, vol. 76(3), pages 486-500, August.
    2. Shafaq Salam & Muhammad Hafeez & Muhammad Tariq Mahmood & Kashif Iqbal & Kashifa Akbar, 2019. "The Dynamic Relation between Technology Adoption, Technology Innovation, Human Capital and Economy: Comparison of Lower-Middle-Income Countries," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 17(1-B), pages 146-161.
    3. Mareschal, Bertrand & Brans, Jean-Pierre, 1988. "Geometrical representations for MCDA," European Journal of Operational Research, Elsevier, vol. 34(1), pages 69-77, February.
    4. C. West Churchman & Russell L. Ackoff, 1954. "An Approximate Measure of Value," Operations Research, INFORMS, vol. 2(2), pages 172-187, May.
    5. Hector Hernandez Guevara & Nicola Grassano & Alexander Tuebke & Lesley Potters & Petros Gkotsis & Antonio Vezzani, 2018. "The 2018 EU Industrial R&D Investment Scoreboard," JRC Research Reports JRC113807, Joint Research Centre.
    6. Ceren Erdin & Gokhan Ozkaya, 2019. "Turkey’s 2023 Energy Strategies and Investment Opportunities for Renewable Energy Sources: Site Selection Based on ELECTRE," Sustainability, MDPI, vol. 11(7), pages 1-23, April.
    7. Kuan Chung Lin & Joseph Z. Shyu & Kun Ding, 2017. "A Cross-Strait Comparison of Innovation Policy under Industry 4.0 and Sustainability Development Transition," Sustainability, MDPI, vol. 9(5), pages 1-17, May.
    8. Canbolat, Yavuz Burak & Chelst, Kenneth & Garg, Nitin, 2007. "Combining decision tree and MAUT for selecting a country for a global manufacturing facility," Omega, Elsevier, vol. 35(3), pages 312-325, June.
    9. Yutao Sun & Cong Cao, 2020. "The dynamics of the studies of China’s science, technology and innovation (STI): a bibliometric analysis of an emerging field," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1335-1365, August.
    10. Gokhan Ozkaya & Ceren Erdin, 2020. "Evaluation of Sustainable Forest and Air Quality Management and the Current Situation in Europe through Operation Research Methods," Sustainability, MDPI, vol. 12(24), pages 1-20, December.
    11. Bertrand Mareschal & Jean Pierre Brans & Philippe Vincke, 1984. "Prométhée: a new family of outranking methods in multicriteria analysis," ULB Institutional Repository 2013/9305, ULB -- Universite Libre de Bruxelles.
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    2. Kara, Karahan & Yalçın, Galip Cihan & Simic, Vladimir & Baysal, Zeynep & Pamucar, Dragan, 2024. "The alternative ranking using two-step logarithmic normalization method for benchmarking the supply chain performance of countries," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
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    5. Ai Zhang, 2021. "Influence of data mining technology in information analysis of human resource management on macroscopic economic management," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-12, May.

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