Kuşakcı, Ali Osman
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Araştırma projeleri
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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
Ali Osman Kuşakcı
İlgi Alanları
Business Analytics, Artificial Intelligence, Genetic Algorithm, Constrained Optimization
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Yayın Performance evaluation of real estate investment trusts using a hybridized interval type-2 fuzzy AHP-DEA approach: The case of Borsa Istanbul(World Scientific Publishing, 2019) Tatoğlu, Ekrem; Yılmaz, Mustafa Kemal; Kuşakcı, Ali Osman; Tatoğlu, Ekrem; Yılmaz, Mustafa Kemal; Kuşakcı, Ali Osman; Yılmaz, Mustafa Kemal; Kuşakcı, Ali Osman; Tatoğlu, Ekrem; İçten, Orkun; Yetgin, Feyzullah; Yönetim Bilimleri Fakültesi, İşletme Bölümü; Yönetim Bilimleri Fakültesi, İşletme BölümüThis study proposes a three-stage holistic methodology combining an interval type-2 fuzzy analytical hierarchy process (IT2F-AHP) and data envelopment analysis (DEA) to deal with the performance evaluation problems encountered in fuzzy decision environments. In the first stage, prospective inputs and outputs are determined by field studies. The second stage employs IT2F-AHP to identify the most appropriate performance indicators based on vague expert judgements. Finally, DEA is applied to the decision-making units (DMUs) based on the selected set of input and output measures. The proposed methodology proves its merit on a case study addressing the performance of real estate investment trusts (REITs) in Turkey during their ten-year journey of trading on Borsa Istanbul (BIST). The results demonstrate that the average scores for technical, pure technical and scale efficiencies are 66%, 80% and 80%, respectively. Considering the technical efficiency scores, Turkish REITs could have reduced their input factors by an average of 34%. The findings also reveal that the majority of Turkish REITs suffer from economies of scale and could have improved their performance by expansion.Yayın Efficiency analysis of major airlines: Exploring the operational performance determinants in aviation(Springer, 2024) Yalçın, Kübra Çınar; Kuşakcı, Ali Osman; Tatoğlu, EkremThis paper evaluates the performances and dynamics of productivity changes of 38 airlines from different regions of the world between 2015 and 2019, assessing the effects of business model, alliance membership, the economic development level of the home country, and size on the operational performance of the airlines. In this regard, first, constant returns to scale (CRS) and variable returns to scale (VRS) input-oriented data envelopment analysis (DEA) models with three inputs and two outputs are implemented. The input-oriented CRS model super-efficiency DEA is also used to discriminate between efficient airlines. The Malmquist Productivity Index (MPI) estimates efficiency dynamics across time. Further, the determinants of operational efficiencies are assessed by applying Mann-Whitney rank-sum tests. The analysis results show that most airlines suffer from scale inefficiency. MPI signifies productivity deterioration in airlines’ performance. It is found that low-cost carriers (LCC) have performed better than full-service carriers and alliance member airlines are less efficient than non-member airlines. Additionally, developed country airlines show better performance than their emerging country counterparts. Lastly, the size of airlines measured in available seat kilometers (ASK) is found to have no statistically significant effect on performance.