ID:
ECO0284
Durata (ore):
40
CFU:
6
SSD:
ECONOMIA AZIENDALE
Anno:
2026
Dati Generali
Periodo di attività
Secondo Semestre (15/02/2027 - 28/05/2027)
Syllabus
Obiettivi Formativi
At the end of the course, the student will be able to:
understand the fundamentals and dynamics of the digital economy from a manager’s and entrepreneur’s perspective;
apply these concepts to business analysis as well as to strategy formulation;
move from theoretical models to market analysis and then to the formulation of concrete strategies
apply these models to cases ranging from start-ups to SMEs, medium-sized companies, and large multinationals.
understand the fundamentals and dynamics of the digital economy from a manager’s and entrepreneur’s perspective;
apply these concepts to business analysis as well as to strategy formulation;
move from theoretical models to market analysis and then to the formulation of concrete strategies
apply these models to cases ranging from start-ups to SMEs, medium-sized companies, and large multinationals.
Prerequisiti
None
Metodi didattici
Lectures, case discussions, seminars, home assignments.
Verifica Apprendimento
Students’ final grades are determined by a combination of an assignment set by the course instructor and a written exam focused on business case analysis.
Assignment (40%): Students must prepare a business case analysis related to the digital economy, submitted as a PowerPoint, Word, or PDF file. This assignment assesses students’ understanding and application of digital economy concepts and models covered in the course. The case can be based on an original idea or an existing company (the latter requires prior approval from the instructor). There is no page limit for this assignment.
Written Exam (60%): The written exam consists of analyzing a business case provided by the instructor. The exam lasts two hours and is open-book, allowing students to consult their notes and course materials.
A minimum score of 18 out of 30 is required for both the assignment and the written exam.
Both the assignment and the written exam are evaluated based on the number, quality, appropriateness, and detail of how course models are applied.
Assignment (40%): Students must prepare a business case analysis related to the digital economy, submitted as a PowerPoint, Word, or PDF file. This assignment assesses students’ understanding and application of digital economy concepts and models covered in the course. The case can be based on an original idea or an existing company (the latter requires prior approval from the instructor). There is no page limit for this assignment.
Written Exam (60%): The written exam consists of analyzing a business case provided by the instructor. The exam lasts two hours and is open-book, allowing students to consult their notes and course materials.
A minimum score of 18 out of 30 is required for both the assignment and the written exam.
Both the assignment and the written exam are evaluated based on the number, quality, appropriateness, and detail of how course models are applied.
Contenuti
This course provides a comprehensive overview of the digital economy and its transformative impact on contemporary business and society. Students will explore technological advancements shaping the digital landscape, including the foundational elements of the digital economy ecosystem and the nature of digital goods and services. Key topics include production models, value creation in digital contexts, and the dynamics of network effects and multisided platforms.
The course examines crucial economic concepts such as path dependence, lock-in effects, switching costs, and the significance of standards. Students will analyze emerging business models—from the long tail phenomenon to the rise of digital and transaction-based models—and investigate the ongoing process of digital transformation, including connected products and the role of the Metaverse and Augmented Reality.
Special attention is given to the economics of data, the rising influence of artificial intelligence on business strategies, and the intersection of AI with business models. The program equips students with critical analytical skills to understand and navigate the evolving digital economy.
The course examines crucial economic concepts such as path dependence, lock-in effects, switching costs, and the significance of standards. Students will analyze emerging business models—from the long tail phenomenon to the rise of digital and transaction-based models—and investigate the ongoing process of digital transformation, including connected products and the role of the Metaverse and Augmented Reality.
Special attention is given to the economics of data, the rising influence of artificial intelligence on business strategies, and the intersection of AI with business models. The program equips students with critical analytical skills to understand and navigate the evolving digital economy.
Lingua Insegnamento
English
Altre informazioni
Textbooks (with indication of chapters to be studied) are reported in the Leganto section. Other materials - such as slides, cases, etc. - will be made available in the course’s e-learning page.
Office hours are indicated, and regularly updated, in professors’ homepages.
A tutoring service is also available for students. The names and contact information of the tutors are available at the following link:
https://www.uninsubria.eu/services/all-services/tutoring-department-economics-dieco
Office hours are indicated, and regularly updated, in professors’ homepages.
A tutoring service is also available for students. The names and contact information of the tutors are available at the following link:
https://www.uninsubria.eu/services/all-services/tutoring-department-economics-dieco
Corsi
Corsi
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