Digital business models in industrial ecosystems : lessons learned from Industry 4.0 across Europe / Kai-Ingo Voigt, Julian M. Müller, editors.
Voigt, Kai-Ingo, editor.; Müller, Julian M., editor.
2021
HD38.5
Available Online

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Title Digital business models in industrial ecosystems : lessons learned from Industry 4.0 across Europe / Kai-Ingo Voigt, Julian M. Müller, editors.
ISBN 9783030820039 (electronic bk.)
3030820033 (electronic bk.)
3030820025
9783030820022
DOI https://doi.org/10.1007/978-3-030-82003-9
Imprint Cham, Switzerland : Springer, 2021.
Language English
Description 1 online resource
Other Standard Identifiers 10.1007/978-3-030-82003-9 doi
Call Number HD38.5
Dewey Decimal Classification 658.5
Summary In recent years, digital business models have frequently been the subject of academic and practical discourse. The increasing interconnectivity across the entire supply chain, which is subsumed under the term Industry 4.0, can unlock even farther-reaching potentials for digital business models, affecting entire supply chains and ecosystems. This book examines the specific challenges and obstacles that supply chain and ecosystem management poses with regard to the development of digital business models. The top-quality contributions gathered here focus on the successful implementation of Industry 4.0 in digital business models for industrial organizations in a European context, making the book a valuable asset for researchers and practitioners alike.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed November 3, 2021).
Added Author Voigt, Kai-Ingo, editor.
Müller, Julian M., editor.
Series Future of business and finance, 2662-2475
Available in Other Form Print version: 9783030820022
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
From Industry 4.0 to Digital Industrial Business Models
I) Digital Supply Chain Management and Business Models
Digital Transformation of Logistics and SCM The Long Way from Digitization to Digital Business Models
Development of a Trend Management Process for Supply Chain Management in the Context of Industry 4.0
II) Digital Business Models in Manufacturing
Digitalization as an Enabler of Subscription Business Models in the Manufacturing Industry
Digital Business Models for Industrial Suppliers
the Case of Schaeffler OPTIME
III) Digital Industrial Platforms
German B2B Platforms Contribution towards a resilient & future-proof Economy
How Digital Platforms transform the Market for Logistics Services
IV) Industrial Data-driven Business Models
Industrial Data-driven Business Models: Towards a goods-service-data continuu
Realizing Data-driven Business Models by launching Containers into the Cloud
V) AI and Blockchain in Production and Supply Chain Management
If you go for AI, be aware of the psychological Hurdles around it Practical and theoretical Insights on the Industrial Application of Artificial Intelligence
Blockchain for Supply Chain Traceability? Case Examples for Luxury Good
VI) Lessons learned from European Ecosystems
The Interrelationship between Industry 4.0 and Servitization in manufacturing SMEs: the Case of the Basque Country
Beyond Excellence in the Automotive Industry in Industry 4.0? Lessons learned from the creative Business Sector
Geographical Factors for the Implementation of Industry 4.0 in Central Eastern Europe.

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