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Öğe Economic indicators and bioenergy supply in developed economies: QROF-DEMATEL and random forest models(Elsevier, 2022) Bhuiyan, ?Miraj Ahmed; Dinçer, Hasan; Yüksel, Serhat; Mikhaylov, Alexey; Shah Danish, Mir Sayed; Pintér, Gábor; Uyeh, Daniel Dooyum; Stepanova, DianaBioenergy is a renewable energy source that saves from fossil fuel dependence. Therefore, it is important to increase the efficiency of bioenergy investments to create an environmentally sustainable energy supply. This paper aims to identify economic indicators significant in forecasting the supply of bioenergy. Considering this goal, an integrated evaluation has been performed for 17 developed economies using the Random Forest method and the Fuzzy Decision-Making Trial and Evaluation Laboratory (QROF-DEMATEL) method. The main contribution of this study is conducting analysis by using both quantitative and qualitative data. Additionally, the coherence of the results made with the QROF-DEMATEL method is also verified by implementing a sensitivity analysis. The results of both approaches are quite similar and provide information about the reliability of the findings. This situation demonstrates that for the development of bioenergy investments, firstly, countries’ macroeconomic conditions should be improved. Consequently, economic growth and unemployment (weighting results - 0.159 and 0.155) should be primarily considered for the bioenergy supply forecast.Öğe The social and legislative principles of counteracting ransomware crime(Entrepreneurship and Sustainability Center, 2020) Uandykova, Mafura; Lisin, Anton; Stepanova, Diana; Baitenova, Laura; Mutaliyeva, Lyailya; Yüksel, Serhat; Dinçer, HasanThis article aims to analyze the relationship between the threat of ransomware and new effective counteraction principles for law enforcement agencies to utilize. Moreover, it contemplates on how specific behavior of persons can help reduce the threat of being infected with this malicious software. It establishes that certain changes made in society's mentality towards their computer and network systems can significantly reduce the consequent damages of ransomware attacks. The manuscript uses a qualitative research approach and the analysis of variance (ANOVA), including an F-test, which defines major challenges in ransomware. This is the first empirical research piece which uses this type of data and approach for the analysis of current threats in global ransomware security. The article suggests that the main challenge is the systematic growth of ransomware connected to illegal businesses and the inattentive actions of casual users. The research paper proposes the implementation of global ransomware counteraction principles on the base of challenges that are present now and the prospects of rising threats in the future. In addition, the manuscript analyzes the trends of the last 2-years of attacks to find and determine new ways of successfully counteracting it for optimal innovative regional development.











