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Towards a maturity model for big data analytics in airline network planning

  • The evaluation, acquisition and use of newly available big data sources has become a major strategic and organizational challenge for airline network planners. We address this challenge by developing a maturity model for big data readiness for airline network planning. The development of the maturity model is grounded in literature, expert interviews and case study research iolving nine airlines. Four airline business models are represented, namely full-service carriers, low-cost airlines, scheduled charter airlines and cargo airlines. The maturity model has been well received with seven change requests in the model development phase. The revised version has been evaluated as exhaustive and useful by airline network planners. The self-assessment of airlines revealed low to medium maturity for most domains. Organizational factors show the lowest average maturity, IT architecture the highest. Full-service carriers seem to be more mature than airlines with different business models.

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Document Type:Article
Author:Iris Hausladen, Maximilian Schosser
Chairs and Professorships:Chair of IT-based Logistics
Parent Title (English):Journal of Air Transport Management
Issue:January 2020
Year of Completion:2020
Article Number:101721
Tag:Airlines; Big data analytics; Case study; Maturity model; Network planning
Content Focus:Academic Audience
Peer Reviewed:Yes
Rankings:AJG Ranking / 1
SJR Ranking / Q1
Licence (German):License LogoUrheberrechtlich gesch├╝tzt