TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Hausladen, Iris
A1  - Schosser, Maximilian
T1  - Towards a maturity model for big data analytics in airline network planning
JF  - Journal of Air Transport Management
N2  - 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.
KW  - Maturity model
KW  - Case study
KW  - Network planning
KW  - Big data analytics
KW  - Airlines
Y1  - 2020
SN  - 0969-6997
SS  - 0969-6997
U6  - https://doi.org/10.1016/j.jairtraman.2019.101721
DO  - https://doi.org/10.1016/j.jairtraman.2019.101721
VL  - 82
IS  - January 2020
ER  -