95633 - Laboratory on Digital Transformation

Academic Year 2023/2024

  • Moduli: Riccardo Silvi (Modulo 1) Lucia Chierchia (Modulo 2)
  • Teaching Mode: Blended Learning (Modulo 1) Blended Learning (Modulo 2)
  • Campus: Cesena
  • Corso: Second cycle degree programme (LM) in Digital Transformation Management (cod. 5815)

Learning outcomes

At the end of the course the student: - Has a practical experience on digital business design and on structuring a business case - Has a practical experience in the analysis, evaluation and planning of the financials and economics of a digital business - Has a practical experience in deploying into a performance management systems digital projects and strategies.

Course contents

- Business Idea, Business Case, Business Plan: overview

- The process of (digital) business design:

  • Definition and comprehension of the business challenge
  • Data collection and analysis
  • Business ideas generation
  • Assessment of business ideas and Selection
  • Business idea deployment
  • Presentation, discussion and Follow up

- Digital transformation: business plan, action plan, KPI and soft skills

Readings/Bibliography

Slides, articles (TBA)

Teaching methods

Goals and topics of this course are deployed through specific company's business challenges, workshop and teamworks. A selected number of companies will present their relevant business challenges and groups of students will work on potential (digital) solutions and will submit them to the companies above.The lab journey includes workshops, intermediate check points, presentations and discussions. Because of its nature course attendance is compulsory.

Assessment methods

Team Project work

Team members Peer evaluation

Grades are assigned on the basis of an overall assessment of knowledge, skills, presentation and discussion skills of the topics covered. The ranges of grades correspond can be described as follows:

18-23: the student has sufficient preparation and analytical skills, spread however, over just few topics taught in the course, the overall jargon is correct

24-27: the student shows and adequate preparation at a technical level with some doubts over the topics. Good, yet not to articulate analytical skills with the use of a correct jargon

28-30: Great knowledge about most of the topics taught in the course, good critical and analytical skills, good usage of the specific jargon

30L: excellent and in depth knowledge of all the topics in the course, excellent critical and analytical skills, excellent usage of specific jargon

Teaching tools

Slides, video, articles, guest lectures, laboratory and use of analytics software, and data sets/sources.

Office hours

See the website of Riccardo Silvi

See the website of Lucia Chierchia

SDGs

Quality education Decent work and economic growth Industry, innovation and infrastructure

This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.