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Airline categorisation by applying the business model canvas and clustering algorithms

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  • Urban, Marcia
  • Klemm, Martin
  • Ploetner, Kay Olaf
  • Hornung, Mirko

Abstract

The phenomenon of increasing airline business model convergence implies attempts for improvement and poses the questions, whether the airline market can be divided into new clusters, in contrast to the established distinction between low-cost and full-service network carriers. The objective of the paper is to determine airline clusters, which go beyond the two well-established low-cost and full-service network carrier models and facilitate a better understanding of the factors distinguishing different business models. The Business Model Canvas approach is applied to a set of 42 currently operating airlines to identify key factors for a subsequent, multidimensional two-step cluster analysis. Two of the seven resulting clusters are selected for a more detailed analysis to identify regularities within each clusters' key factor characteristics.

Suggested Citation

  • Urban, Marcia & Klemm, Martin & Ploetner, Kay Olaf & Hornung, Mirko, 2018. "Airline categorisation by applying the business model canvas and clustering algorithms," Journal of Air Transport Management, Elsevier, vol. 71(C), pages 175-192.
    • Handle: RePEc:eee:jaitra:v:71:y:2018:i:c:p:175-192
    DOI: 10.1016/j.jairtraman.2018.04.005
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    References listed on IDEAS

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    Cited by:

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    3. Rafael Bernardo Carmona Benitez & Maria Rosa Nieto, 2023. "A methodology for calculating the unmet passenger demand in the air transportation industry," Papers 23003, Working Papers of Business and Economics School. Anahuac University (Mexico)..
    4. Fichert, Frank & Kirschnerová, Ivana & Tomová, Anna, 2020. "Business models in business aviation – An empirical analysis with a focus on Air Charter Companies," Research in Transportation Economics, Elsevier, vol. 79(C).
    5. 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.
    6. Colak, Ozlem & Enoch, Marcus & Morton, Craig, 2023. "Airport business models and the COVID-19 pandemic: An exploration of the UK case study," Journal of Air Transport Management, Elsevier, vol. 108(C).
    7. Pérez-Campuzano, Darío & Rubio Andrada, Luis & Morcillo Ortega, Patricio & López-Lázaro, Antonio, 2022. "Visualizing the historical COVID-19 shock in the US airline industry: A Data Mining approach for dynamic market surveillance," Journal of Air Transport Management, Elsevier, vol. 101(C).
    8. Christopher Findlay & Hein Roelfsema & Niall Van De Wouw, 2021. "Feeling the Pulse of Global Value Chains: Air Cargo and COVID-19," Working Papers DP-2021-23, Economic Research Institute for ASEAN and East Asia (ERIA).
    9. Gonçalo Cardeal & Kristina Höse & Inês Ribeiro & Uwe Götze, 2020. "Sustainable Business Models–Canvas for Sustainability, Evaluation Method, and Their Application to Additive Manufacturing in Aircraft Maintenance," Sustainability, MDPI, vol. 12(21), pages 1-22, November.
    10. Gideon Niel D. Tan, 2021. "A Business-Model Approach on Strategic Flexibility of Firms in a Shifting Value Chain: The Case of Coffee Processors in Amadeo and Silang, Cavite, Philippines," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(1), pages 17-28, March.
    11. Klophaus, Richard & Yu, Chunyan, 2023. "Short-haul airline services in Europe and North America - A cross-business model and cross-continental analysis," Journal of Air Transport Management, Elsevier, vol. 109(C).
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