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

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Journal article
Published: 12 January 2021 in Sustainability
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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.

ACS Style

Gokhan Ozkaya; Mehpare Timor; Ceren Erdin. Science, Technology and Innovation Policy Indicators and Comparisons of Countries through a Hybrid Model of Data Mining and Operation Research Methods. Sustainability 2021, 13, 694 .

AMA Style

Gokhan Ozkaya, Mehpare Timor, Ceren Erdin. Science, Technology and Innovation Policy Indicators and Comparisons of Countries through a Hybrid Model of Data Mining and Operation Research Methods. Sustainability. 2021; 13 (2):694.

Chicago/Turabian Style

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 Operation Research Methods." Sustainability 13, no. 2: 694.

Journal article
Published: 18 December 2020 in Sustainability
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Forests cover 30 percent of the Earth’s land surface, almost four billion hectares, and they are necessary to sustain human health, economic growth, and environmental health. Approximately 25 percent of the global population depends on forests for food and work. The world population is expected to reach 9.6 billion by 2050. Therefore, there is a need for urgent action plans at all levels to ensure sustainable forest management and policy collaboration among all stakeholders, in order for forests to continue to serve our ecosystem and life in the future. The study compares 30 countries using 15 indicators related to forest and air quality. This was performed with TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje, meaning Multi-Criteria Optimization and Compromise Solution), which are among the most used multi-criteria decision-making methods in the literature. According to the analysis results, Denmark, Luxembourg, Lithuania, and Germany are the best performing countries in terms of indicators, whereas Slovakia, Estonia, Turkey, Latvia, Chile, and Canada are the worst performing. The paper aims to present the current situation of some developed and developing countries and compare them to each other in terms of forest and air quality indicators. In addition, the article aims to inform all stakeholders and raise awareness to achieve the Sustainable Development Goals (SDGs) and Global Forest Goals of the United Nations Strategic Plan for Forests 2017–2030 targets.

ACS Style

Gokhan Ozkaya; Ceren Erdin. Evaluation of Sustainable Forest and Air Quality Management and the Current Situation in Europe through Operation Research Methods. Sustainability 2020, 12, 10588 .

AMA Style

Gokhan Ozkaya, Ceren Erdin. Evaluation of Sustainable Forest and Air Quality Management and the Current Situation in Europe through Operation Research Methods. Sustainability. 2020; 12 (24):10588.

Chicago/Turabian Style

Gokhan Ozkaya; Ceren Erdin. 2020. "Evaluation of Sustainable Forest and Air Quality Management and the Current Situation in Europe through Operation Research Methods." Sustainability 12, no. 24: 10588.

Correction
Published: 18 November 2020 in Sustainability
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The authors would like to make the following corrections to the published paper

ACS Style

Ceren Erdin; Gokhan Ozkaya. Correction: Erdin, C.; Ozkaya, G. Turkey’s 2023 Energy Strategies and Investment Opportunities for Renewable Energy Sources: Site Selection Based on ELECTRE. Sustainability 2019, 11, 2136. Sustainability 2020, 12, 9634 .

AMA Style

Ceren Erdin, Gokhan Ozkaya. Correction: Erdin, C.; Ozkaya, G. Turkey’s 2023 Energy Strategies and Investment Opportunities for Renewable Energy Sources: Site Selection Based on ELECTRE. Sustainability 2019, 11, 2136. Sustainability. 2020; 12 (22):9634.

Chicago/Turabian Style

Ceren Erdin; Gokhan Ozkaya. 2020. "Correction: Erdin, C.; Ozkaya, G. Turkey’s 2023 Energy Strategies and Investment Opportunities for Renewable Energy Sources: Site Selection Based on ELECTRE. Sustainability 2019, 11, 2136." Sustainability 12, no. 22: 9634.

Journal article
Published: 14 July 2019 in Sustainability
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Multi-criteria decision-making (MCDM) techniques are increasingly being used for the problem of location selection, which directly affects the long-term success of a company. Besides these techniques, with the advantage of handling both spatial and non-spatial data, geographic information systems (GIS) also represent a useful method for selecting the appropriate location for different kinds of facilities and sites. In this respect, this study aims to compare the results of a MCDM technique, fuzzy technique for order preference by similarity to ideal solution (TOPSIS), and GIS for the location selection of shopping malls in Turkey. According to the results of both fuzzy TOPSIS and GIS, the Marmara region was determined as the best alternative for shopping malls in Turkey.

ACS Style

Ceren Erdin; Halil Emre Akbaş. A Comparative Analysis of Fuzzy TOPSIS and Geographic Information Systems (GIS) for the Location Selection of Shopping Malls: A Case Study from Turkey. Sustainability 2019, 11, 3837 .

AMA Style

Ceren Erdin, Halil Emre Akbaş. A Comparative Analysis of Fuzzy TOPSIS and Geographic Information Systems (GIS) for the Location Selection of Shopping Malls: A Case Study from Turkey. Sustainability. 2019; 11 (14):3837.

Chicago/Turabian Style

Ceren Erdin; Halil Emre Akbaş. 2019. "A Comparative Analysis of Fuzzy TOPSIS and Geographic Information Systems (GIS) for the Location Selection of Shopping Malls: A Case Study from Turkey." Sustainability 11, no. 14: 3837.

Journal article
Published: 10 April 2019 in Sustainability
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In Turkey, current energy generations are not sufficient for the existing energy needs and besides, energy demand is expected to increase by 4–6 percent annually until 2023. Therefore, the government aims to increase the ratio of renewable energy resources (RES) in total installed capacity to 30 percent by 2023. By this date, total energy investments are expected to be approximately $110 billion. Turkey is the fastest growing energy market among the OECD countries. Therefore, Turkey is an attractive market for energy companies and investors. At this stage, site selection and deciding appropriate RES are the most important feasibility parameters for investment. In this study, “Site Selection in Turkey” issue for RES (solar, wind, hydroelectric, geothermal, biomass) is evaluated by the ELECTRE which is one of the Multi Criteria Decision Making (MCDM) methods. In addition, the reasons for choosing this method are explained according to the literature. The study emphasizes the importance of energy generation from renewable and sustainable sources and is concerned with improving the position of the country. The Turkish government offers many purchasing guarantees and high incentives, especially in the renewable energy sector. As a result of the analysis, the most suitable energy sources are presented according to the geography and energy potential of the regions. The study aims to inform energy firms and everyone related with RES about Turkey’s RES opportunities.

ACS Style

Ceren Erdin; Gokhan Ozkaya. Turkey’s 2023 Energy Strategies and Investment Opportunities for Renewable Energy Sources: Site Selection Based on ELECTRE. Sustainability 2019, 11, 2136 .

AMA Style

Ceren Erdin, Gokhan Ozkaya. Turkey’s 2023 Energy Strategies and Investment Opportunities for Renewable Energy Sources: Site Selection Based on ELECTRE. Sustainability. 2019; 11 (7):2136.

Chicago/Turabian Style

Ceren Erdin; Gokhan Ozkaya. 2019. "Turkey’s 2023 Energy Strategies and Investment Opportunities for Renewable Energy Sources: Site Selection Based on ELECTRE." Sustainability 11, no. 7: 2136.