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

ISBN-13: 9783030820053 / Angielski / Miękka / 2022

Voigt, Kai-Ingo

Opis

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.

Spis treści

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)

O autorze

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.