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Titel:

Process model for data-driven business model generation

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Benta, Christian; Wilberg, Julian; Hollauer, Christoph; Omer, Mayada
Seitenangaben Beitrag:
347-356
Abstract:
Digitalization is advancing fast and at the same time the volume of data is increasing. Examples from industry show that business models using big data can lead to competitive advantages. Currently the number of smart products is rising, which means more data will be available to engineering ompanies. The challenge is to extract additional profits and value from it. The literature review revealed that existing process models and methods for business model generation do not consider data in a dis...     »
Stichworte:
Business models and considerations, Case study, Design management, Big data
Herausgeber:
Anja Maier, Stanko Škec, Chris McKesson, Mike Van der Loos
Kongress- / Buchtitel:
ICED17 21st International Conference on Engineering Design, 21-25 August, 2017
Ausrichter der Konferenz:
Department of Mechanical Engineering Faculty of Applied Science University of British Columbia & the Design Society
Datum der Konferenz:
21.08.-25.08.2017
Jahr:
2017
Quartal:
3. Quartal
Nachgewiesen in:
Scopus
Print-ISBN:
978-1-904670-87-2
Reviewed:
ja
Hinweise:
Innovation & Kreativität
Semester:
SS 17
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