The selection of the appropriate aircraft can bring competitive advantages to airlines, however, there are a number of factors which introduce a degree of uncertainty to the selection process. By removing this uncertainty, airlines can increase their chances of achieving their long-term goals. New Multi-Criteria Decision Making (MCDM) methods provide decision-makers with a satisfactory solution for choosing suitable aircraft. Therefore, we focused on the multi-dimensional evaluation and selection of the most suitable commercial aircraft alternatives by using new MCDM method. This article provides decision support to airline planners on the selection of commercial aircraft under uncertainty. In the study, unlike other studies in the literature on aircraft selection, the model presented here uses an Interval Type-2 Fuzzy Analytical Hierarch Process (IT2FAHP) and Interval Type-2 Fuzzy Technique for Order Preference by Similarity to an Ideal Solution (IT2FTOPSIS) hybrid methods. The proposed model for aircraft selection allows commercial airlines to evaluate the aircraft in terms of specific criteria: economic performance, technical performance, and environmental impact, and, as a result, it helps decision makers select appropriate aircraft in an uncertain environment. In addition to use by commercial airlines, the methods in the study can also be applied to the selection of training aircraft, cargo aircraft and military aircraft. Our findings show that the Airbus A321neo is the most suitable commercial aircraft in terms of technical aspects, economic aspects and environmental aspects for airlines.

The airline industry has entered a rapid development and transformation process, especially after the Second World War. In this process, it is seen that the market structure changed and many private airlines were established. Due to increased competition, airlines have begun to follow various strategies and business models in order to gain a competitive advantage over each other. One of the business models successfully applied recently is the low-cost business model. Therefore, this study focuses on airline companies that applied the low-cost business model. The study aims to reveal the factors that determine the financial risk in airlines, which implements the low-cost business model. For this purpose, firstly, airline companies that implement the low-cost business model have been identified according to the classification in the literature. The study included an analysis of 13 airlines with the low-cost business model that was fully accessible to financial data for the 2004-2017 period. Panel data analysis was used in the study and Altman (1968) Z-Score and Springate (1978) S-Score were used in measuring financial risk. Empirical findings of the study reveal that firm leverage, asset structure, firm size, firm profitability, and liquidity ratio have an effect on financial risk.

The purpose of this study is to identify the factors that determine the capital structure of low-cost airlines. Accordingly, it is aimed to test the factors that determine the capital structure in low-cost airlines in the context of capital structure theories. In the study, 15 airline companies, which had continuous financial data during the 2004-2015 period, were examined empirically. Panel data analysis was used as a method in the study. Findings of the study show that low-cost airlines generally operate based on the trade-off theory while borrowing in the short-term and based on the pecking order theory while borrowing in the long-term.

Bu çalışmanın amacı BİST (Borsa İstanbul) Turizm Endeksi ile dolar kuru, dolar endeksi ve petrol fiyatları arasındaki nedensellik ilişkisinin ortaya çıkarılmasıdır. Bu amaç doğrultusunda 01 Ocak 2003 -24 Temmuz 2018 dönemi günlük verilerine nedensellik analizleri uygulanmıştır. Dolayısıyla çalışma kapsamında her bir değişkene ait toplam 4060 gözlem analiz edilmiştir. Çalışmada söz konusu değişkenler arasındaki nedensellik ilişkisinin tespit edilmesi amacıyla geleneksel Granger (1969) nedensellik analizinin yanı sıra asimetrik nedensellik ilişkisinin de ortaya çıkarılmasına olanak sağlayan Hatemi-J (2012) asimetrik nedensellik analizi kullanılmıştır. Çalışmanın bulguları, analize dâhil edilen değişkenler arasında anlamlı Granger nedensellik ve asimetrik nedensellik ilişkisinin varlığını göstermektedir.

Unlike other means of transport, airline industry provides space and time benefits for consumers. Due to this feature, it is seen that the demand for airline industry is in a continuous increase trend. Academic research shows that the most important factor influencing airline demand is income. Therefore, income is assumed to be an important determinant of airline industry. In this study, the relationship between the demand for the airline in Turkey and the GDP was examined empirically for the period . As a method of study, we used Toda and Yamamoto (1995) causality andHatemi-J (2012) asymmetric causality tests. Findings of the study show that there is a significant causality relationship between demand for airline and economic growth.