Airline categorisation by applying the business model canvas and clustering algorithms
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.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/31005945
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Supplemental Notes:
- © 2018 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Urban, Marcia
- Klemm, Martin
- Ploetner, Kay Olaf
- Hornung, Mirko
- Publication Date: 2018-8
Language
- English
Media Info
- Media Type: Web
- Features: Appendices; Figures; References; Tables;
- Pagination: pp 175-192
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Serial:
- Journal of Air Transport Management
- Volume: 71
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0969-6997
- Serial URL: http://www.sciencedirect.com/science/journal/09696997
Subject/Index Terms
- TRT Terms: Airlines; Business practices; Cluster analysis; Full service carriers; Low cost carriers; Markets
- Subject Areas: Administration and Management; Aviation;
Filing Info
- Accession Number: 01679575
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 28 2018 5:18PM