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When legacy carriers converge with low-cost carriers: Exploring the fusion of European airline business models through a case-based analysis

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  • Jarach, David
  • Zerbini, Fabrizio
  • Miniero, Giulia

Abstract

The paper makes uses of cognitive mappings developed from personal interviews with a number of European airline executives to examine the differences in managerial attitudes of low-cost and transitional carriers. In particular it explores the extent to which there is a convergence of views regarding the ways various airline models will develop in the future.

Suggested Citation

  • Jarach, David & Zerbini, Fabrizio & Miniero, Giulia, 2009. "When legacy carriers converge with low-cost carriers: Exploring the fusion of European airline business models through a case-based analysis," Journal of Air Transport Management, Elsevier, vol. 15(6), pages 287-293.
    • Handle: RePEc:eee:jaitra:v:15:y:2009:i:6:p:287-293
    DOI: 10.1016/j.jairtraman.2009.01.003
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    References listed on IDEAS

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    1. Rhonda K. Reger & Anne Sigismund Huff, 1993. "Strategic groups: A cognitive perspective," Strategic Management Journal, Wiley Blackwell, vol. 14(2), pages 103-123, February.
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    Cited by:

    1. Oliveira, Bruno F. & Oliveira, Alessandro V.M., 2022. "An empirical analysis of the determinants of network construction for Azul Airlines," Journal of Air Transport Management, Elsevier, vol. 101(C).
    2. Wang, Yixiao & Sun, Luoyi & Teunter, Ruud H. & Wu, Jianhong & Hua, Guowei, 2020. "Effects of introducing low-cost high-speed rail on air-rail competition: Modelling and numerical analysis for Paris-Marseille," Transport Policy, Elsevier, vol. 99(C), pages 145-162.
    3. Azadian, Farshid & Vasigh, Bijan, 2019. "The blurring lines between full-service network carriers and low-cost carriers: A financial perspective on business model convergence," Transport Policy, Elsevier, vol. 75(C), pages 19-26.
    4. Roucolle, Chantal & Seregina, Tatiana & Urdanoz, Miguel, 2020. "Measuring the development of airline networks: Comprehensive indicators," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 303-324.
    5. Ferrer-Rosell, Berta & Coenders, GermÃ, 2017. "Airline type and tourist expenditure: Are full service and low cost carriers converging or diverging?," Journal of Air Transport Management, Elsevier, vol. 63(C), pages 119-125.
    6. Chantal Roucolle & Tatiana Seregina & Miguel Urdanoz, 2017. "Measuring Airline Networks: Comprehensive Indicators," Post-Print hal-01822938, HAL.
    7. Moir, Loren & Lohmann, Gui, 2018. "A quantitative means of comparing competitive advantage among airlines with heterogeneous business models: Analysis of U.S. airlines," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 72-82.
    8. Heinz, Stephan & O’Connell, John F., 2013. "Air transport in Africa: toward sustainable business models for African airlines," Journal of Transport Geography, Elsevier, vol. 31(C), pages 72-83.
    9. B. F. Oliveira & A. V. M Oliveira, 2023. "An empirical analysis of the determinants of network construction for Azul Airlines," Papers 2312.05630, arXiv.org.
    10. Chiambaretto, Paul, 2021. "Air passengers’ willingness to pay for ancillary services on long-haul flights," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
    11. Pereira, Bruno Alencar & Caetano, Mauro, 2015. "A conceptual business model framework applied to air transport," Journal of Air Transport Management, Elsevier, vol. 44, pages 70-76.
    12. Paul Chiambaretto, 2021. "Air passengers’ willingness to pay for ancillary services on long-haul flights," Post-Print hal-03514785, HAL.

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