@inproceedings{509a0aaab7af4087a9cacf827c09a638,
title = "Amazon in the air: Innovating with big data at Lufthansa",
abstract = "Big data offers great opportunities for innovation. However, at the end of 2014, at the peak of its hype, big data deployment was still scarce and failures abounded. This article presents a case of how Lufthansa, the largest airline in Europe, successfully tackled the task of discovering value from big data, addressing the inherent technical complexities, and transforming their business model of selling airline tickets to customers to one that we call «Amazon in the Air» where service-dominant logic prevails. This case demonstrates that IT innovation is the business imperative to survive and exemplifies the complex business environment and rapid changes for which big data is being considered. Our case study also sheds light on the challenges and critical success factors for innovating with big data and how to navigate through uncharted waters, employing new thinking and new approaches to seize innovation with big data.",
keywords = "Big data innovation, Critical success factors, Innovative business model, Lufthansa Airline, Service dominant logic",
author = "Chen, {Hong Mei} and Roland Schutz and Rick Kazman and Florian Matthes",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 49th Annual Hawaii International Conference on System Sciences, HICSS 2016 ; Conference date: 05-01-2016 Through 08-01-2016",
year = "2016",
month = mar,
day = "7",
doi = "10.1109/HICSS.2016.631",
language = "English",
series = "Proceedings of the Annual Hawaii International Conference on System Sciences",
publisher = "IEEE Computer Society",
pages = "5096--5105",
editor = "Sprague, {Ralph H.} and Bui, {Tung X.}",
booktitle = "Proceedings of the 49th Annual Hawaii International Conference on System Sciences, HICSS 2016",
}