Kuşakcı, Ali Osman
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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
Ali Osman Kuşakcı
İlgi Alanları
Business Analytics, Artificial Intelligence, Genetic Algorithm, Constrained Optimization
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Yayın The effects of frequent flyer programs in the airline industry on customer loyalty(Research and Development Academy, 2021) Kuşakcı, Ali Osman; Şahin, Hande; Mbowe, Baboucarr; Yönetim Bilimleri Fakültesi, İşletme BölümüCustomer Loyalty Programs are one of the handiest tools to raise brand awareness, and secure long-term and strong ties between a brand and existing consumers. Airline companies have been using frequent flyer programs (FFPs) to retain customers with the expectation of increasing passengers’ loyalty levels. The purpose of this study was to examine the significance of FFPs for customer loyalty, which is of great help for customer retention in the civil aviation industry in the sample of passengers flying from the new Istanbul Airport. Furthermore, we questionedthe effectiveness of various services and products offered within FFPs for loyalty, which is decomposed into two main components, behavioral, and attitudinal commitment of loyalty. We evaluatedthe significance of various demographic factors on passengers’ perception of FFPs services and privileges, and customer loyalty. The study confirmedthe vital role of FFPs to build up brand loyalty, where profession, duration of the membership to FFPs, and gender are essential factors.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.