Academic year
2023/2024 Syllabus of previous years
Official course title
Course code
EM1406 (AF:449549 AR:257068)
On campus classes
ECTS credits
Degree level
Master's Degree Programme (DM270)
Educational sector code
2nd Term
Course year
Go to Moodle page
This course is part of the learning activities of the curriculum in Data Analytics for Business and Society. The objective of the course is to provide an understanding of how digital technologies impact the business models of companies.
The course provides the analytical tools to understand how to assess the business models of companies and to identify the advantages and disadvantages of certain strategic choices. The course provides the student references on how digital business models operate, their main strategies and how to look for efficiency and effectiveness in their business performance.
1. Knowledge and understanding
- Ability to read a business model
- Ability to understand a text referring to aspects of corporate technology
- Knowledge of the typical tools of data- and digit-driven companies

2. Ability to apply knowledge and understanding
- Ability to analyze existing business models
- Ability to propose innovations to the business model
- Ability to write a basic business model

3. Ability to determine autonomous judgments
- Ability to discuss advantages and disadvantages of choices
- Ability to understand when the conditions for the functioning of a certain model are not there

4. Communication skills
- Ability to accurately explain a digital-first business model

5. Learning skills
- Ability to choose correct texts and sources to deepen specific knowledge
Students should know administrative functions, resources, skills, and strategic organizational planning.
1. Strategic innovation driven by Industry 4.0

2. Industry 4.0 and digital paradigms
2.1 Digital Manufacturing
2.2 Autonomous and collaborative Robots
2.3 Augmented and virtual reality
2.4 Industrial Internet of Things
2.5 Cloud Computing
2.6 Simulations
2.7 Big data analytics
2.8 Cybersecurity
2.9 Vertical and horizontal Integration
2.10 Artificial Intelligence

3. Industria 4.0 and emergent Business Models
3.1 Digital Operating Model
3.2 Data-Driven Business Models
3.3 Platform Business Models
3.4 Phygital Operating Model
3.5 Smart Factory Business Models
3.6 Servitization Business Models
- Bagnoli C. et al. (2022), Digital Business Models for Industry 4.0 - How Innovation and Technology Shape the Future of Companies, Springer.
- PowerPoint presentations and the text book in digital format will available on the Moodle platform.
Written exam for both attending and not attending students. The exam consists of 30 questions with multiple choice answers on the contents of the course.
The course is designed so that participation and discussion enable the learning process. Much of the course will be based on thorough discussions of case studies. We will use real business cases that provide a forum for students to apply the concepts and tools they will be exposed to. Each case discussion aims at providing students with a thorough understanding of the strategic nature of the situation, at helping them in defining the key issues and in proposing strategic alternatives and/or recommendations.
Definitive programme.
Last update of the programme: 16/05/2023