Digital Business Models in Industrial Ecosystems: Lessons Learned from Industry 4.0 Across Europe

Author:   Kai-Ingo Voigt ,  Julian M. Müller
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
ISBN:  

9783030820022


Pages:   249
Publication Date:   21 October 2021
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Digital Business Models in Industrial Ecosystems: Lessons Learned from Industry 4.0 Across Europe


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Author:   Kai-Ingo Voigt ,  Julian M. Müller
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Weight:   0.565kg
ISBN:  

9783030820022


ISBN 10:   3030820025
Pages:   249
Publication Date:   21 October 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

From Industry 4.0 to Digital Industrial Business Models (Voigt & Müller) I) Digital Supply Chain Management and Business Models 1)      Digital Transformation of Logistics and SCM – The Long Way from Digitization to Digital Business Models (von See et al.) 2)      Development of a Trend Management Process for Supply Chain Management in the Context of Industry 4.0 (Birkel, Hartmann) 3)      Unlocking the hidden, data-driven Potential of the Supply Chain (Asenkerschbaumer) II) Digital Business Models in Manufacturing 4)      Digitalization as an Enabler of Subscription Business Models in the Manufacturing Industry (Schuh et al.) 5)      Digital Business Models for Industrial Suppliers - the Case of Schaeffler OPTIME (Jussen et al.) III) Digital Industrial Platforms 6)      German B2B Platforms’ Contribution towards a resilient & future-proof Economy (Kempf & Heckler) 7)      How Digital Platforms transform the Market for Logistics Services (Stölzle & Häberle) 8)      Industry 4.0 Digital Platforms: Collaborative Business Models for SMEs (Kazantsev & Martens) IV) Industrial Data-driven Business Models 9)      Industrial Data-driven Business Models: Towards a goods-service-data continuum (Voigt et al.) 10)  Realizing Data-driven Business Models by launching Containers into the Cloud (Zink et al.) V) AI and Blockchain in Production and Supply Chain Management 11)  If you go for AI, be aware of the psychological Hurdles around it – Practical and theoretical Insights on the Industrial Application of Artificial Intelligence (Demlehner et al.) 12)  Blockchain for Supply Chain Traceability? Case Examples for Luxury Goods (Schmidt et al.) VI) Lessons learned from European Ecosystems 13)  The Interrelationship between Industry 4.0 and Servitization in manufacturing SMEs: the Case of the Basque Country (Sisti et al.) 14)  Beyond Excellence in the Automotive Industry in Industry 4.0? Lessons learned from the creative Business Sector (Rosinksi) 15)  Geographical Factors for the Implementation of Industry 4.0 in Central Eastern Europe (Szabo & Hortovanyi)

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Author Information

Kai-Ingo Voigt is Full Professor for Industrial Management at Friedrich-Alexander-University Erlangen-Nuremberg, Germany. His research areas are Digital Transformation of Industry and Technology and Innovation Management. Julian M. Müller is Professor at Kufstein University of Applied Sciences, Austria. His research areas include Industry 4.0 and Digital Transformation, Technology and Innovation Management, and Supply Chain Management.

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