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The Effects of The Vertical Cooperation Strategy Between Airports and Airlines on The Operating Performance of Airlines

Yıl 2023, Cilt: 20 Sayı: Human Behavior and Social Institutions, 984 - 1001, 30.10.2023
https://doi.org/10.26466/opusjsr.1348252

Öz

It is aimed to determine the effects of the strategic cooperation between airport operators and airlines on the operational performance of airlines. In addition, it is also among the other aims of the study to deal with all aspects of airport-airline strategic cooperation, which is rare, to develop the relevant literature and to make suggestions to airlines. In the research, cooperation of Pegasus Airlines, the largest private airline company of Turkey, with Istanbul Sabiha Gökçen Airport, which is the fastest growing airport in Europe, is discussed. In the research, in which the mixed method was used, the dimensions of cooperation were revealed primarily through interviews with middle-level managers. Panel regression analysis was used as a quantitative analysis method in the study. It was tried to determine the effect of vertical cooperation on performance with 3 different models established. The impact of the Covid-19 pandemic and the cooperation dummy variables were added to the models and the effects of the cooperation, and the pandemic were revealed. As a result of the study, even though the Covid-19 pandemic has created a structural break on airline performance, the positive effect of cooperation shows that vertical cooperation is an important strategy that can be preferred by airlines. It has been understood that with the airport-airline vertical cooperation strategy, competitive advantage can be created, costs can be kept under control, the activities of idle airports can be increased, and an advantage can be created in providing passenger guarantees given in projects in which the public-private sector cooperates.

Kaynakça

  • Albers, S., Koch, B., & Ruff, C. (2005). Strategic alliances between airlines and airports-theoretical assessment and practical evidence. Journal of Air Transport Management, 11(2), 49–58.
  • Auerbach, S., & Koch, B. (2007). Cooperative approaches to managing air traffic efficiently—the airline perspective. Journal of Air Transport Management, 13(1), 37-44.
  • Barbot, C. (2006). Low-cost airlines, secondary airports, and state aid: An economic assessment of the Ryanair: Charleroi Airport agreement. Jornal of Air Transport Management, 12(4), 197-203.
  • Barbot, C. (2009). Airport and airline competition: Incentives for vertical collusion. Transportation Research Part B: Methodological, 43(10), 952–965.
  • Breitung, J. (2001). The local power of some unit root tests for panel data. In Nonstationary panels, panel cointegration, and dynamic panels. Emerald Group Publishing Limited.
  • Creswell, J. W., Fetters, M. D., & Ivankova, N. V. (2004). Designing a mixed methods study in primary care. The Annals of Family Medicine, 2(1), 7-12.
  • Erdoğan, D. (2018). Hava Taşımacılığında Havaalanı-Havayolu İlişkisi: Dikey İşbirlikleri. Ü. Battal içinde, Hava Taşımacılığı Yönetimi (s. 71-93). Eskişehir: Nisan Kitapevi
  • Fu, X., Homsombat, W., & Oum, T. H. (2011). Airport–airline vertical relationships, their effects, and regulatory policy implications. Journal of Air Transport Management, 17(6), 347–353.
  • Gillen, D., & Hinsch, H. (2001). Measuring the economic impact of liberalization of international aviation on Hamburg airport. Journal of Air Transport Management.
  • Goetsch, B., & Albers, S. (2007). Towards a Model of Airport-Airline Interaction. University of Cologne, Dept. of Business Policy and Logistics
  • Harris, R. D., & Tzavalis, E. (1999). Inference for unit roots in dynamic panels where the time dimension is fixed. Journal of econometrics, 91(2), 201-226.
  • Hihara, K. (2012). An analysis of airport–airline relationships under a risk-sharing contract. Transportation Research Part E,48, 978–992.
  • Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of econometrics, 115(1), 53-74.
  • Kanbur, E., & Karakavuz, H. (2017). Stratejik Yönetim Kapsamında Küresel Havayolu İşbirliklerinin SWOT Analizi. Journal of Aviation, 74-86.
  • Minato, N., & Morimoto, R. (2017). Dynamically interdependent business model for airline–airport coexistence. Journal of Air Transport Management made available under Creative Commons CC-BY-NC-ND 4.0 License Available at: http://dx.doi.org/10.1016/j.jairtraman.2016.08.002, 64, 161-172. accessed from.
  • Oum, T. H., & Fu, X. (2008). Impacts of airports on airline competition: Focus on airport performance and airport-airline vertical relations. https://www.econstor.eu/bitstream/10419/68760/1/583133487.pdf accessed from.
  • Saraswati, B., & Hanaoka, S. (2014). Airport–airline cooperation under commercial revenue sharing agreements: A network approach. Transportation Research Part E: Logistics and Transportation Review(70), 17-33.
  • Starkie, D. (2008). The airport industry in a competitive environment: a United Kingdom perspective. Joint Transport Research Centre, International Transport Forum, OECD.
  • Tinoco, J. K., & Sherman, B. W. (2014). Something Old is new Again: AirlineAirport Consortia and Key Stakeholder Benefifits. World Review of Intermodal Transportation Research, Vol. 5, No. 1, 1-17.
  • Tunčikienė, Ž., & Katinas, R. (2020). Solutıons for Improvıng The Partnershıp Between Aırport And Airlines. Business, Management and Education (18/2020), 247-264.
  • Wegener, D. T. ve Petty, R. E. (1994). Mood management across affective states: The hedonic contingency hypothesis. Journal of Personality and Social Psychology, 66, 1034-1048.
  • Yang, H., Zhang, A., & Fu, X. (2015). Determinants of Airport–Airline Vertical Arrangements. Journal of Transport Economics and Policy, Volume 49, Part 3, 438-453.
  • Zhang, A., Fu, X., & Yang, H. G. (2010). Revenue sharing with multiple airlines and airports. Transportation Research Part B: Methodological, 44(8–9), 944–959.

Havalimanları ve Havayolları Arasındaki Dikey İşbirliği Stratejisinin Havayollarının Operasyonel Performansına Etkileri

Yıl 2023, Cilt: 20 Sayı: Human Behavior and Social Institutions, 984 - 1001, 30.10.2023
https://doi.org/10.26466/opusjsr.1348252

Öz

Havaalanı işletmecileri ile havayolları arasındaki stratejik iş birliğinin havayollarının operasyonel performansı üzerindeki etkilerinin belirlenmesi amaçlanmaktadır. Ayrıca nadir görülen havalimanı-havayolu stratejik işbirliğinin tüm boyutlarıyla ele alınması, ilgili literatürün geliştirilmesi ve havayollarına önerilerde bulunulması da çalışmanın diğer amaçları arasındadır. Araştırmada Türkiye'nin en büyük özel havayolu şirketi Pegasus Hava Yolları'nın Avrupa'nın en hızlı büyüyen havalimanı olan İstanbul Sabiha Gökçen Havalimanı ile yaptığı işbirliği ele alınmıştır. Karma yöntemin kullanıldığı araştırmada işbirliğinin boyutları öncelikle orta düzey yöneticilerle yapılan görüşmelerle ortaya çıkarılmıştır. Araştırmada niceliksel analiz yöntemi olarak panel regresyon analizi kullanılmıştır. Kurulan 3 farklı model ile dikey işbirliğinin performansa etkisi belirlenmeye çalışılmıştır. Modellere Covid-19 salgınının etkisi ve işbirliği kukla değişkenleri de eklenerek işbirliğinin etkileri ortaya çıkarılmıştır. Çalışma sonucunda, her ne kadar Covid-19 salgını havayolu performansı üzerinde yapısal bir kırılma yaratmış olsa da işbirliğinin olumlu etkisi sebebiyle dikey işbirliğinin havayolları tarafından tercih edilebilecek önemli bir strateji olduğu görülmektedir. Havalimanı-havayolu dikey işbirliği stratejisi ile rekabet avantajı yaratılabileceği, maliyetlerin kontrol altında tutulabileceği, atıl havalimanlarının faaliyetlerinin artırılabileceği, kamu-özel sektörün işbirliği yaptığı projelerde verilen yolcu garantilerinin sağlanmasında avantaj yaratılabileceği anlaşılmıştır.

Kaynakça

  • Albers, S., Koch, B., & Ruff, C. (2005). Strategic alliances between airlines and airports-theoretical assessment and practical evidence. Journal of Air Transport Management, 11(2), 49–58.
  • Auerbach, S., & Koch, B. (2007). Cooperative approaches to managing air traffic efficiently—the airline perspective. Journal of Air Transport Management, 13(1), 37-44.
  • Barbot, C. (2006). Low-cost airlines, secondary airports, and state aid: An economic assessment of the Ryanair: Charleroi Airport agreement. Jornal of Air Transport Management, 12(4), 197-203.
  • Barbot, C. (2009). Airport and airline competition: Incentives for vertical collusion. Transportation Research Part B: Methodological, 43(10), 952–965.
  • Breitung, J. (2001). The local power of some unit root tests for panel data. In Nonstationary panels, panel cointegration, and dynamic panels. Emerald Group Publishing Limited.
  • Creswell, J. W., Fetters, M. D., & Ivankova, N. V. (2004). Designing a mixed methods study in primary care. The Annals of Family Medicine, 2(1), 7-12.
  • Erdoğan, D. (2018). Hava Taşımacılığında Havaalanı-Havayolu İlişkisi: Dikey İşbirlikleri. Ü. Battal içinde, Hava Taşımacılığı Yönetimi (s. 71-93). Eskişehir: Nisan Kitapevi
  • Fu, X., Homsombat, W., & Oum, T. H. (2011). Airport–airline vertical relationships, their effects, and regulatory policy implications. Journal of Air Transport Management, 17(6), 347–353.
  • Gillen, D., & Hinsch, H. (2001). Measuring the economic impact of liberalization of international aviation on Hamburg airport. Journal of Air Transport Management.
  • Goetsch, B., & Albers, S. (2007). Towards a Model of Airport-Airline Interaction. University of Cologne, Dept. of Business Policy and Logistics
  • Harris, R. D., & Tzavalis, E. (1999). Inference for unit roots in dynamic panels where the time dimension is fixed. Journal of econometrics, 91(2), 201-226.
  • Hihara, K. (2012). An analysis of airport–airline relationships under a risk-sharing contract. Transportation Research Part E,48, 978–992.
  • Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of econometrics, 115(1), 53-74.
  • Kanbur, E., & Karakavuz, H. (2017). Stratejik Yönetim Kapsamında Küresel Havayolu İşbirliklerinin SWOT Analizi. Journal of Aviation, 74-86.
  • Minato, N., & Morimoto, R. (2017). Dynamically interdependent business model for airline–airport coexistence. Journal of Air Transport Management made available under Creative Commons CC-BY-NC-ND 4.0 License Available at: http://dx.doi.org/10.1016/j.jairtraman.2016.08.002, 64, 161-172. accessed from.
  • Oum, T. H., & Fu, X. (2008). Impacts of airports on airline competition: Focus on airport performance and airport-airline vertical relations. https://www.econstor.eu/bitstream/10419/68760/1/583133487.pdf accessed from.
  • Saraswati, B., & Hanaoka, S. (2014). Airport–airline cooperation under commercial revenue sharing agreements: A network approach. Transportation Research Part E: Logistics and Transportation Review(70), 17-33.
  • Starkie, D. (2008). The airport industry in a competitive environment: a United Kingdom perspective. Joint Transport Research Centre, International Transport Forum, OECD.
  • Tinoco, J. K., & Sherman, B. W. (2014). Something Old is new Again: AirlineAirport Consortia and Key Stakeholder Benefifits. World Review of Intermodal Transportation Research, Vol. 5, No. 1, 1-17.
  • Tunčikienė, Ž., & Katinas, R. (2020). Solutıons for Improvıng The Partnershıp Between Aırport And Airlines. Business, Management and Education (18/2020), 247-264.
  • Wegener, D. T. ve Petty, R. E. (1994). Mood management across affective states: The hedonic contingency hypothesis. Journal of Personality and Social Psychology, 66, 1034-1048.
  • Yang, H., Zhang, A., & Fu, X. (2015). Determinants of Airport–Airline Vertical Arrangements. Journal of Transport Economics and Policy, Volume 49, Part 3, 438-453.
  • Zhang, A., Fu, X., & Yang, H. G. (2010). Revenue sharing with multiple airlines and airports. Transportation Research Part B: Methodological, 44(8–9), 944–959.
Toplam 23 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Strateji, Yönetim ve Örgütsel Davranış (Diğer)
Bölüm Research Articles
Yazarlar

Armağan Macit 0000-0002-5694-8285

Mehmet Basar

Erken Görünüm Tarihi 26 Ekim 2023
Yayımlanma Tarihi 30 Ekim 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 20 Sayı: Human Behavior and Social Institutions

Kaynak Göster

APA Macit, A., & Basar, M. (2023). The Effects of The Vertical Cooperation Strategy Between Airports and Airlines on The Operating Performance of Airlines. OPUS Journal of Society Research, 20(Human Behavior and Social Institutions), 984-1001. https://doi.org/10.26466/opusjsr.1348252