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Digital Business Models in Industrial Ecosystems : Lessons Learned from Industry 4.0 Across Europe
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Editor(s):
Kai-Ingo Voigt
,
Julian M. Müller
Publication date
(Print):
2021
Publisher:
Springer International Publishing
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IUCN Red List of Ecosystems
Author and book information
Book
ISBN (Print):
978-3-030-82002-2
ISBN (Electronic):
978-3-030-82003-9
Publication date (Print):
2021
DOI:
10.1007/978-3-030-82003-9
SO-VID:
11943363-e19a-4624-8f8f-e1d98350c924
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Book chapters
pp. 23
Development of a Trend Management Process for Supply Chain Management in the Context of Industry 4.0
pp. 35
Unlocking the Hidden, Data-Driven Potential of the Supply Chain
pp. 49
Digitalization as an Enabler of Subscription Business Models in the Manufacturing Industry
pp. 71
Digital Business Models for Industrial Suppliers—The Case of Schaeffler OPTIME
pp. 89
German B2B Platforms’ Contribution Towards a Resilient Economy
pp. 105
Digital Logistics Platforms—Initial Approaches to Market Segmentation in Light of Traditional and New Providers
pp. 125
Industry 4.0 Digital Platforms: Collaborative Business Models for SMEs
pp. 137
Industrial Data-Driven Business Models: Towards a Goods-Service-Data Continuum
pp. 155
Realizing New Data-Driven Business Models by Launching Containers into the Cloud
pp. 173
If You Go for AI, Be Aware of the Psychological Hurdles Around It—Practical and Theoretical Insights on the Industrial Application of Artificial Intelligence
pp. 187
Blockchain for Supply Chain Traceability: Case Examples for Luxury Goods
pp. 201
The Interrelationship Between Industry 4.0 and Servitization in Manufacturing SMEs: The Case of the Basque Country
pp. 217
Beyond Excellence in the Automotive Industry in Industry 4.0? Lessons Learned from the creative Business Sector
pp. 235
Geographical Factors for the Implementation of Industry 4.0 in Central Eastern Europe
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