Hacıoğlu, Ümit
Yükleniyor...
Araştırma projeleri
Organizasyon Birimleri
Yönetim Bilimleri Fakültesi, İşletme Bölümü
Küresel rekabete ayak uydurmak ve sürdürülebilir olmak isteyen tüm şirketler ve kurumlar, değişimi doğru bir şekilde yönetmek, teknolojinin gerekli kıldığı zihinsel ve operasyonel dönüşümü kurumlarına hızlı bir şekilde adapte etmek zorundadırlar.
Adı Soyadı
Ümit Hacıoğlu
İlgi Alanları
Business & Economics, Computer Science, Government & Law, Engineering, Public Administration
Kurumdaki Durumu
Aktif Personel
4 sonuçlar
Arama Sonuçları
Listeleniyor 1 - 4 / 4
Yayın Complex fuzzy assessment of green flight activity investments for sustainable aviation(IEEE, 2022) Hacıoğlu, Ümit; Aksoy, Tamer; Hacıoğlu, Ümit; Aksoy, Tamer; Aksoy, Tamer; Yüksel, Serhat; Dinçer, Hasan; Hacıoğlu, Ümit; Maialeh, Robin; Yönetim Bilimleri Fakültesi, İşletme Bölümü; Yönetim Bilimleri Fakültesi, İşletme BölümüThe aviation industry harms the environment mainly via the creation of carbon emissions. Hence, action needs to be taken to ensure the environmental sustainability of the aviation industry such as the recycling of waste products, effective waste management and the introduction of energy efficiency measures. However, at the same time, the implementation of improvements to remediate such problems leads to the creation of additional costs for aviation companies. Companies thus need to conduct comprehensive priority analyses regarding the optimum strategy for the sustainability of the aviation industry. However, there is a very limited number of studies in the literature that focused on which approach should be prioritized. Accordingly, this study aimed at the assessment of the viability of investing in so-called green flight measures in the aviation industry, for which a completely original decision-making model was created. Firstly, the various strategic priorities were weighted and the impact-relation directions between them illustrated aimed at the identification of potential influences by means of a multi stepwise weight assessment ratio analysis (M-SWARA) methodology that incorporates bipolar q-rung orthopair fuzzy sets (q-ROFSs) and golden cut. Secondly, the various flight activities are ranked, and the potential impacts of these activities determined in terms of the strategic priorities of a sustainable aviation industry employing q-ROF as the elimination and choice translating reality (ELECTRE) technique. All the calculations were also computed with intuitionistic fuzzy sets (IFSs) and Pythagorean fuzzy sets (PFSs) aimed at verifying the validity of the findings. The analysis concluded that while energy efficiency comprises the most important factor in terms of strategic priority investment for the circular economy-based aviation industry, emergency response makes up the most crucial activity in the industry. Operational efficiency must be prioritized to decrease the amount of fuel consumed, in connection with which flight routes should be planned according to current weather conditions, which would serve to shorten flight times and, thus, help to increase energy efficiency. Such an approach would make a positive contribution to minimizing carbon emissions aimed at ensuring the sustainability of the aviation industry.Yayın Assessing the electricity production capacities of emerging markets for the sustainable investments(IEEE, 2023) Aksoy, Tamer; Yüksel, Serhat; Dinçer, Hasan; Hacıoğlu, Ümit; Mikhaylov, Alexey; Muyeen, S. M.; Hacıoğlu, Ümit; Aksoy, Tamer; Yönetim Bilimleri Fakültesi, İşletme BölümüIt is essential to supply the necessary electricity for both the increase in the quality of life of the citizens and the stable growth of the country’s economy. For countries to have energy independence, they need to increase their electricity generation capacity. However, all alternatives required to increase electrical capacity have both advantages and disadvantages. Within this scope, it is not easy for countries to make the right investment decisions. Therefore, a comprehensive analysis is needed to determine the right investment policy. The purpose of this study is to evaluate the electricity production capacities of emerging markets. A new fuzzy decision-making model has been constructed to find a solution for this situation. The groups for the electricity production capacities are examined by the extension of DEMATEL with Quantum Spherical fuzzy sets and golden ratio. In the following stage, emerging seven economies are ranked by using QSF TOPSIS technique. This situation helps to understand which of these countries are more successful in generating electricity capacity effectively. The main novelty is to define the most significant electricity generation alternatives by a novel model that integrates DEMATEL and TOPSIS with QSFSs and golden ratio. The results demonstrate that solar photovoltaic is the most optimal way to increase electricity capacity of the countries. Additionally, China is the most successful emerging country to generate electricity in an efficient way. Countries should take some actions to increase their solar energy investments. First, it would be appropriate to provide tax exemptions to solar energy investors so that the costs of these projects can be decreased. Additionally, investments in solar energy technologies need to be further increased.Yayın Holistic evaluation of energy transition technology investments using an integrated recommender system and artificial intelligence-based fuzzy decision-making approach(Elsevier, 2024) Dinçer, Hasan; Pamucar, Dragan; Yüksel, Serhat; Deveci, Muhammet; Eti, Serkan; Hacıoğlu, Ümit; Yönetim Bilimleri Fakültesi, İşletme BölümüThe most essential criteria should be determined in the selection of the suitable energy transition technologies due to budget deficit problem. Therefore, it is necessary to identify the most important criteria in energy transition technology selection. Therefore, a new study is needed to determine the most prominent issues in the correct selection of energy transition technologies. The purpose of this study is to identify the most appropriate energy transition technology alternative. Within this framework, a novel artificial intelligence (AI)-based fuzzy decision-making model has been presented. In the first part, the experts are prioritized by the help of AI methodology. In the next section, missing evaluations of energy transition technology investments are estimated via expert recommender system. Thirdly, the weights of the criteria for energy transition technology selection are computed by quantum picture fuzzy rough sets (QPFR) M-Stepwise Weight Assessment Ratio Analysis (SWARA). At the final stage, selected energy transition technology alternatives are ranked via QPFR-Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR). The main contribution of this study is the integration of AI technique to the proposed model. Similar to this issue, using M-SWARA methodology in the process of criteria weighting increases the quality of the findings. This methodology helps to consider the impact relation map of the criteria. The findings demonstrate that the most important factor is cost-effectiveness of energy transition. Similarly, it is also found that the local ecosystem is the second most significant issue. On the other side, the ranking results denote that compact renewable systems for small scale production is the most optimal solution of energy transition technology alternatives.Yayın Multidimensional analysis of investment priorities for circular economy with Quantum Spherical Fuzzy Hybrid Modeling(World Scientific Publishing, 2024) Dinçer, Hasan; Yüksel, Serhat; Hacıoğlu, Ümit; Erdebilli, Babek; Yönetim Bilimleri Fakültesi, İşletme BölümüCircular economy aims recycling in the production process instead of destroying the products. With the help of this situation, waste can be considered in the remanufacturing process so that the rate of consumption of natural resources can be decreased. It is necessary to focus on certain investment issues to achieve a circular economy, but all investments have some risks. Hence, the economies should make priority analysis to take efficient actions. Investment priorities are identified to have circular economy. A novel fuzzy decision-making model has been created for this purpose. In the first stage, balanced scorecard criteria are evaluated with the help of multi stepwise weight assessment ratio analysis (M-SWARA). Later, the multidimensional investment priorities of circular economy are ranked. In this context, elimination and choice translating reality (ELECTRE) approach is taken into consideration. The main contribution of the paper is that a new methodology is created by the name of M-SWARA. Owing to these new improvements, cause and effect relationship among the items can be analyzed. It is identified that financial issues play the most crucial role for investments to improve circular economy. On the other side, it is also concluded that remanufacturing is the most significant investment alternative to develop circular economy. For the sustainability of the investment to improve circular economy, necessary financial analysis should be performed. With the help of this situation, these substances can be reintroduced into the production process in the form of raw materials. With the increase of remanufacturing, it will be possible to reduce waste and save scarce material resources.
