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

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  • Hausladen, Iris
  • Schosser, Maximilian

Abstract

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 involving 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.

Suggested Citation

  • Hausladen, Iris & Schosser, Maximilian, 2020. "Towards a maturity model for big data analytics in airline network planning," Journal of Air Transport Management, Elsevier, vol. 82(C).
    • Handle: RePEc:eee:jaitra:v:82:y:2020:i:c:s0969699718304988
    DOI: 10.1016/j.jairtraman.2019.101721
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    1. Wang, Gang & Gunasekaran, Angappa & Ngai, Eric W.T. & Papadopoulos, Thanos, 2016. "Big data analytics in logistics and supply chain management: Certain investigations for research and applications," International Journal of Production Economics, Elsevier, vol. 176(C), pages 98-110.
    2. Xileidys Parra & Xavier Tort-Martorell & Carmen Ruiz-Viñals & Fernando à lvarez-Gómez, 2017. "CHROMA: a maturity model for the information-driven decision-making process," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 16(3), pages 224-242.
    3. Moreno-Izquierdo, L. & Ramón-Rodríguez, A. & Perles Ribes, J., 2015. "The impact of the internet on the pricing strategies of the European low cost airlines," European Journal of Operational Research, Elsevier, vol. 246(2), pages 651-660.
    4. Philipp Goedeking, 2010. "Networks in Aviation," Springer Books, Springer, number 978-3-642-13764-8, December.
    5. Fosso Wamba, Samuel & Akter, Shahriar & Edwards, Andrew & Chopin, Geoffrey & Gnanzou, Denis, 2015. "How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study," International Journal of Production Economics, Elsevier, vol. 165(C), pages 234-246.
    6. Ingemar Dierickx & Karel Cool, 1989. "Asset Stock Accumulation and Sustainability of Competitive Advantage," Management Science, INFORMS, vol. 35(12), pages 1504-1511, December.
    7. Yew Wong, Chee & Karia, Noorliza, 2010. "Explaining the competitive advantage of logistics service providers: A resource-based view approach," International Journal of Production Economics, Elsevier, vol. 128(1), pages 51-67, November.
    8. Jörg Becker & Ralf Knackstedt & Jens Pöppelbuß, 2009. "Developing Maturity Models for IT Management," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 1(3), pages 213-222, June.
    9. Arunachalam, Deepak & Kumar, Niraj & Kawalek, John Paul, 2018. "Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 416-436.
    10. Akter, Shahriar & Wamba, Samuel Fosso & Gunasekaran, Angappa & Dubey, Rameshwar & Childe, Stephen J., 2016. "How to improve firm performance using big data analytics capability and business strategy alignment?," International Journal of Production Economics, Elsevier, vol. 182(C), pages 113-131.
    11. Ingemar Dierickx & Karel Cool, 1989. "Asset Stock Accumulation and the Sustainability of Competitive Advantage: Reply," Management Science, INFORMS, vol. 35(12), pages 1514-1514, December.
    12. Lismont, Jasmien & Vanthienen, Jan & Baesens, Bart & Lemahieu, Wilfried, 2017. "Defining analytics maturity indicators: A survey approach," International Journal of Information Management, Elsevier, vol. 37(3), pages 114-124.
    13. Mendes, Paulo & Leal, José Eugênio & Thomé, Antônio Márcio Tavares, 2016. "A maturity model for demand-driven supply chains in the consumer product goods industry," International Journal of Production Economics, Elsevier, vol. 179(C), pages 153-165.
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