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E-grāmata: Digital Business Models for Industry 4.0: How Innovation and Technology Shape the Future of Companies

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  • Formāts: EPUB+DRM
  • Sērija : Future of Business and Finance
  • Izdošanas datums: 20-May-2022
  • Izdevniecība: Springer Nature Switzerland AG
  • Valoda: eng
  • ISBN-13: 9783030972844
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Digital Business Models for Industry 4.0: How Innovation and Technology Shape the Future of CompaniesPalielināt
  • Formāts: EPUB+DRM
  • Sērija : Future of Business and Finance
  • Izdošanas datums: 20-May-2022
  • Izdevniecība: Springer Nature Switzerland AG
  • Valoda: eng
  • ISBN-13: 9783030972844
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Technological advancements are contributing to shape future business models and the industrial scenario. Companies face the challenge of having to adapt to the frequently shifting technology landscape. Therefore, organizations must exploit technological advances to thrive in the digital revolution. This book presents and discusses emerging digital business models in the Industry 4.0. These models are illustrated with real case studies and include data-driven, platform, smart factory and servitization among others. The book introduces a detailed classification to help organizations to redesign their current business models and discusses how to gain unique competitive advantages. The book includes not only theoretical concepts to understand the context of digital transformation but also an assessment framework to enable and support innovation in organizations and create new revenue streams. The book will be of interest to students and professionals alike who want to understand the core of the Industry 4.0.
1 Strategic Innovation Driven by Digital Transformation
1(48)
1.1 Strategic Innovation
1(10)
1.1.1 Strategic Innovation: Features and Processes
3(5)
1.1.2 Strategic Innovation: Sources
8(3)
1.2 The Business Model Framework
11(16)
1.2.1 The Business Model and its Building Blocks
12(8)
1.2.2 The Business Model Canvas and the Strategic Fit Matrix
20(7)
1.3 The Fourth Industrial Revolution
27(22)
1.3.1 Industry 4.0 Technological Strategies
28(9)
1.3.2 Industry 4.0 Strategic Innovations
37(7)
References
44(5)
2 Industry 4.0 and Its Digital Paradigms
49(70)
2.1 Digital Manufacturing
51(4)
2.2 Autonomous and Collaborative Robots
55(6)
2.3 Augmented and Virtual Reality
61(10)
2.4 Industrial Internet of Things
71(2)
2.5 Cloud Computing
73(6)
2.6 Simulation
79(7)
2.7 Big Data Analytics
86(16)
2.7.1 Descriptive Analytics
91(1)
2.7.2 Diagnostic Analytics
92(1)
2.7.3 Predictive Analytics
92(5)
2.7.4 Prescriptive Analytics
97(5)
2.8 Cybersecurity
102(1)
2.9 Structural Horizontal and Vertical System Integration
103(4)
2.10 Analysis of the Impact of Operational Benefits
107(12)
References
113(6)
3 Industry 4.0 and the Emergent Business Models
119(92)
3.1 Digital Operating Model
125(10)
3.1.1 Digital Operating Model: Product Dematerialization
127(1)
3.1.2 Digital Operating Model: Software Bug Detection
128(2)
3.1.3 Digital Operating Model: Software Testing
130(2)
3.1.4 Digital Operating Model: Endless Users Anywhere and Anytime
132(1)
3.1.5 Digital Operating Model: Non-Traditional Revenue Model
133(2)
3.2 The Introduction of Artificial Intelligence within Digital-First Products
135(8)
3.3 Data-Driven Business Models
143(13)
3.3.1 Indirect Data Monetization: Product Endless Improvement
146(3)
3.3.2 Indirect Data Monetization: Customization
149(1)
3.3.3 Indirect Data Monetization: Product Upgrading/Up-Selling
150(2)
3.3.4 Indirect Data Monetization: New Product Development/Cross-Selling
152(1)
3.3.5 Indirect Data Monetization: New Market Space Creation
153(2)
3.3.6 Direct Data Monetization
155(1)
3.4 Platform Business Models
156(15)
3.4.1 Data Confederation
164(2)
3.4.2 Infrastructure Community
166(2)
3.4.3 Social Network
168(2)
3.4.4 Marketplace
170(1)
3.5 Phygital Operating Model
171(8)
3.5.1 Phygital Operating Model: Cyber Production
175(1)
3.5.2 Phygital Operating Model: Cyber-Physical Production
176(1)
3.5.3 Phygital Operating Model: Configuration and Optimization
176(1)
3.5.4 Phygital Operating Model: Automation and Control
177(1)
3.5.5 Phygital Operating Model: Forecast and Prediction
178(1)
3.6 Smart Factory Business Models
179(12)
3.6.1 Smart Factory Business Model
181(2)
3.6.2 Smart Factory Business Model: Decentralized Production and Control
183(2)
3.6.3 Smart Factory Business Model: Smart Supply Chain
185(2)
3.6.4 Smart Factory Business Model: Agile Collaboration Network
187(2)
3.6.5 Smart Factory Business Model: Hub and Spoke
189(1)
3.6.6 Smart Factory Business Model: Production as a Service
190(1)
3.7 Servitization Business Models
191(20)
3.7.1 Servitization Business Model: Product Ownership
198(1)
3.7.2 Servitization Business Model: Product + Service (Add-on Hardware)
199(2)
3.7.3 Servitization Business Model: Product + Service (Add-on Software)
201(1)
3.7.4 Servitization Business Model: Product Availability
202(2)
3.7.5 Servitization Business Model: Product-as-a-Service
204(2)
3.7.6 Servitization Business Model: Product Subscription
206(2)
References
208(3)
4 The Integration of Digital Business Models: The Amazon Case Study
211(30)
4.1 Amazon as an E-Commerce Business and Distributor (Smart Factory Business Model)
214(4)
4.2 Amazon as a Marketplace Platform (Platform Business Model)
218(2)
4.3 Amazon as a Service Provider (Data-Driven and Servitization Business Models)
220(5)
4.4 Amazon as a Phygital Product/Store Platform (Data-Driven and Platform Business Models)
225(3)
4.5 Identifying the Tools and Techniques of Assessment
228(13)
4.5.1 The Operational Fit Within Industry 4.0: Digital Strategy
232(3)
4.5.2 The Competitive Fit Within Industry 4.0: Competitive Strategy
235(4)
References
239(2)
5 Conclusions
241
5.1 Appendix
242
5.1.1 Research Methodology
242(5)
5.1.2 Definition of the Building Blocks of the Strategic Fit Matrix
247
Carlo Bagnoli is Professor of Strategic Innovation at Ca Foscari University of Venice (Italy). He is the founder, partner, scientific director, and Board member of Strategy Innovation S.r.l., a university spin-off located in Venice dealing with innovation and focusing on action research. His research focuses on topics such as digitalization, strategic innovation, business model innovation and knowledge management.   





Andrea Albarelli is Associate Professor of Computer Science at Ca Foscari University of Venice, (Italy). His research focuses on computer vision, pattern recognition, optimization, and Artificial Intelligence.





Stefano Biazzo is Professor of Innovation Management at the University of Padua (Italy). He has over 20 years of experience in organizational change management, focusing on developing and disseminating concepts, methodologies, and tools to enhance firm performance through the adoption of innovation and fostercontinuous improvement.





Gianluca Biotto is the Chief Research Officer at Strategy Innovation S.r.l., a university spin-off and consulting firm based in Venice (Italy) and Business and Innovation Manager at Veeco, a management consulting firm located in Milan (Italy). His research interests include strategic innovation, business modelling and business model innovation. 





Giuseppe Roberto Ciro Bruno Marseglia is the Chief Executive Officer at Daat Consulting, a digital consulting firm based in Milan (Italy) and the Chief Technology Officer at Italica Turismo S.p.A., a leisure and travel company located in Trento (Italy). Marseglia is also research fellow at the Department of Civil Engineering and Architecture at the University of Pavia.





Maurizio Massaro is Associate Professor of Digital Management at Ca Foscari University of Venice  (Italy). His research interests include knowledge management, intellectual capital, business sustainability, business models and innovation. Massaro is the Chief Scientific Officer of the MIKE Most Innovative Knowledge Enterprise Award for Italy.

Matilde Messina is Research Assistant and Junior Consultant at Strategy Innovation S.r.l., a university spin-off and consulting firm located in Venice (Italy). Her research interests include digitalization, digital business models, strategic innovation, business model innovation and digital technologies for business.





Antonella Muraro is an ERP Business Analyst at Avanade Italy S.r.l., a global professional services company located in Milan (Italy) and providing IT consulting and services. Her research focuses on topics such as Artificial Intelligence, Blockchain and digital business models.





Luca Troiano is Consultant at ZEB Consulting, a leading strategy and management consulting firm located in Milan (Italy). His research focused on topics such as digital business models, strategic innovation and business model innovation.
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