Assessing the effects of flight delays, distance, number of passengers and seasonality on revenue
Yazarlar (5)
Murat Güven
Sakarya Üniversitesi, Türkiye
Doç. Dr. Eyüp ÇALIK
Yalova Üniversitesi, Türkiye
Dr. Öğr. Üyesi Başak ÇETİNGÜÇ
Yalova Üniversitesi, Türkiye
Bülent Güloğlu
İstanbul Teknik Üniversitesi, Türkiye
Fethi Çalışır
İstanbul Teknik Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Kybernetes (Q3) | ||
| Dergi ISSN | 0368-492X Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 09-2019 |
| Cilt / Sayı / Sayfa | 48 / 9 / 2138–2149 | DOI | 10.1108/K-01-2018-0022 |
| Makale Linki | http://dx.doi.org/10.1108/k-01-2018-0022 | ||
| Özet |
| Purpose This study aims to investigate the effects of flight delays, distance, number of passengers and seasonality on revenue in the Turkish air transport industry. Design/methodology/approach The domestic return routes of a Turkish airline company were examined to address this issue. Among five cities and six airports, 14 major domestic return routes were selected. The augmented mean group (AMG) estimator and common correlated effects mean group (CCEMG) estimator were conducted with a two-way fixed effects (FE) robustness test in this study. Findings The results show that arrival flight delay and departure flight delay had negative effects on revenue, whereas the distance between airports, the number of air passengers and seasonality had positive effects on revenue. Research limitations/implications The data used in this study were retrieved from a Turkish airline company; for future research, other airline companies operating in Turkey may be included. Practical implications These findings could be evaluated by air transportation leaders to provide a guide to make strategic decisions to achieve greater performance in this competitive environment. Originality/value The originality of the paper comes from the facts that besides distance and number of passengers, the authors control for the seasonality when assessing the effects of flight delay on revenue; they use panel data techniques, which permit them to control for individual heterogeneity, and create more variability, more efficiency and less collinearity among the variables; they use two recent panel data techniques, CCEMG and AMG, allowing for cross-section dependence. |
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BM Sürdürülebilir Kalkınma Amaçları
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