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Title:

Process model for data-driven business model generation

Document type:
Konferenzbeitrag
Author(s):
Benta, Christian; Wilberg, Julian; Hollauer, Christoph; Omer, Mayada
Pages contribution:
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...     »
Keywords:
Business models and considerations, Case study, Design management, Big data
Editor:
Anja Maier, Stanko Škec, Chris McKesson, Mike Van der Loos
Book / Congress title:
ICED17 21st International Conference on Engineering Design, 21-25 August, 2017
Organization:
Department of Mechanical Engineering Faculty of Applied Science University of British Columbia & the Design Society
Date of congress:
21.08.-25.08.2017
Year:
2017
Quarter:
3. Quartal
Covered by:
Scopus
Print-ISBN:
978-1-904670-87-2
Reviewed:
ja
Notes:
Innovation & Kreativität
Semester:
SS 17
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