Aircraft selection is an important issue in achieving long-term goals in the airline industry. For this issue in which multiple conflicting criteria are involved, the extant literature points to the use of multi-criteria decision-making (MCDM) methods. In this respect, this study aims to propose a systematic and comprehensive framework with a focus on the regional aircraft selection perspective. To achieve this, an integrated fuzzy Pivot Pairwise Relative Criteria Importance Assessment (F-PIPRECIA) and fuzzy Measurement Alternatives and Ranking according to the Compromise Solution (F-MARCOS) approach was employed. In this study, in which six regional aircraft alternatives were evaluated according to 14 criteria, data were collected from five decision experts. As a result, it was found that the most pivotal criterion is C33 (Operational Cost), and the least important criterion is C12 (NOx). In addition, CRJ1000 was identified as the most promising regional aircraft alternative. The results of the application were further validated by applying a three-stage sensitivity analysis. The proposed structure is anticipated to assist airline managers in aircraft selection decisions under uncertainty by offering a robust and systematic tool.

Delivering high-quality service to passengers can be critical for an airport’s survival, competitiveness, profitability, and long-term growth in a highly competitive environment. The present study aims to examine the relationship between airport service attributes and passenger satisfaction. To this end, we conducted multi-method research consisting of symmetric (multiple regression analysis—MRA) and asymmetric (necessary condition analysis—NCA) approaches. The research data consists of 1463 valid online reviews (n = 1463) of the top 50 busiest airports in Europe retrieved from Skytrax. The MRA was employed to examine the net effect of the eight airport service attributes on passenger satisfaction, while the NCA was used to explore the necessary conditions and level of necessity to achieve passenger satisfaction. Using MRA, the findings reveal that airport staff is the most influential predictor of passenger satisfaction, whereas airport shopping and airport Wi-Fi connectivity do not have a significant effect on passenger satisfaction. Moreover, the NCA results found that six of the eight conditions are necessary to achieve passenger satisfaction at the airport. To complement and comprehend the findings, this study also sheds light on the antecedents underlying airport passenger satisfaction in the post-COVID-19 era using NCA.

The main purpose of this study was to investigate the effect of in-flight service quality on value for money for business passengers in airlines. In this study, in-flight service quality included four dimensions—seat comfort, staff service, food and beverages, and in-flight entertainment—while value for money was used as a dichotomous variable. In the study, 1096 business passenger reviews were employed through secondary data. Logistic regression analysis was used to investigate the relationships between the variables and finally the success of classification was tested by the ROC (Receiver Operating Characteristics) curve. As a result, the findings indicate that the proposed logit model sufficiently explains the relationship between in-flight service quality and value for money in business passengers. Moreover, the study provides a deep understanding of how passengers perceive in-flight service quality in business class. The study also reveals that seat comfort has the highest impact on value for money.

This study aims to understand the impact of advertising creativity on purchase intention in the airline industry. To this end, drawing on the Stimulus-Organism-Response (S-O-R) framework, the associations among advertising creativity, attitude toward advertising, flow experience, and purchase intention were investigated. Utilizing a total sample of 174 respondents in Turkey, the partial least squares structural equation modeling (PLS-SEM) approach was adopted to testing the research model. The results suggest that advertising creativity significantly affects purchase intention, attitude toward advertising, and flow experience. On the other hand, flow experience has no significant effect on purchase intention. Furthermore, attitude toward advertising mediates the relationship between advertising creativity and purchase intention.

Günümüzün değişen rekabet koşulları altında havaalanlarının daha fazla yolcuya ve havayolu işletmesine hizmet vererek rekabetçi üstünlük sağlamalarında hizmet kalitesi kilit bir unsur haline gelmiştir. Havaalanı hizmet kalitesinin bu açıdan önemli unsur olarak görülmesinden dolayı bu çalışmada 2016 yılı genelinde Avrupa’da en fazla yolcuya hizmet veren havaalanlarının hizmet kalitesi performansları değerlendirilmiştir. Çalışmada kullanılan veriler Skytrax internet sitesinden elde edilmiş olup kuyruk bekleme süresi, terminal temizliği, terminal oturma alanları, terminal işaret ve yönlendirme, yiyecek-içecek hizmetleri, havaalanı alışveriş mağazaları, wifi bağlantısı ve havaalanı personeli kriterleri ele alınmıştır. İlk olarak Entropi yöntemiyle yapılan ağırlıklandırma sonucunda önem katsayısı en yüksek kriterler sırasıyla wifi bağlantısı, terminal oturma alanları ve kuyruk bekleme süresi olarak belirlenmiştir. Ardından TOPSIS yöntemi ile havaalanları değerlendirilerek sıralanmıştır. Bunun sonucunda en yüksek hizmet kalitesine sahip havaalanının Münih Havaalanı olduğu belirlenmiştir.

Sivil havacılık sektörü, Türkiye’de en hızlı gelişim gösteren sektörler arasında yer almaktadır. Bu çalışmada, Türk sivil havacılık sektörünün güçlü ve zayıf yönleri ile fırsatlar ve tehditler, sayısal temelde kurgulanmış SWOT analizi ile sistematik olarak irdelenmiştir. Bu amaçla alanyazındaki diğer çalışmalardan farklı olarak, Türk sivil havacılık sektörünün mevcut durumu faktörlerin önem derecelerinin de belirlenmesine izin veren SWOT-AHS bütünleşik yöntemi ile ele alınmaya çalışılmıştır. Çalışmada öncelikle alanyazından hareketle SWOT matrisi oluşturulmuştur. Daha sonra SWOT matrisinde yer alan faktörler AHS hiyerarşine entegre edilmiş, Türk sivil havacılık sektörünün mevcut durum değerlendirilmesi yapılmıştır. Çalışmanın bulguları, sektör açısından en önemli faktörün turizm potansiyeli olduğunu göstermiştir.