12563 - Economics and Management of Innovation

Academic Year 2024/2025

  • Docente: Paola Giuri
  • Credits: 8
  • SSD: SECS-P/08
  • Language: Italian
  • Teaching Mode: Traditional lectures
  • Campus: Rimini
  • Corso: First cycle degree programme (L) in Business Economics (cod. 8848)

Learning outcomes

This course offers students the theoretical instruments to study and understand the sources, types, and impact of innovation. At the end of this course, students will be able to: assess the critical aspects related to technological innovation, organizational innovation, and management practices; manage the innovation process by identifying the critical success factors; implement the mechanisms which allow the protection of tangible and intangible resources involved in the innovation process.

Course contents

PART 1. INDUSTRY DYNAMICS OF TECHNOLOGICAL INNOVATION

Sources of innovation

Types and patterns of innovation

Standards battles, modularity, and platform competition

Timing of entry

PART 2. FORMULATING TECHNOLOGICAL INNOVATION STRATEGY

Defining the Organization’s Strategic Direction

Choosing Innovation Projects

Collaboration strategies

Protecting innovation

PART 3. IMPLEMENTING TECHNOLOGICAL INNOVATION STRATEGY

Organizing for innovation

Managing the new product development process

Managing the new product development team

Crafting a deployment strategy

Readings/Bibliography

Schilling M.A., Izzo F. 2022. Gestione dell'innovazione, V Edizione. McGraw-Hill Education: Milano

Teaching methods

  • Lectures
  • Individual work to carry out in class

  • Teamworks

  • Deployment of business cases in order to apply the concepts and tools of the theoretical lectures

  • Guest lectures (organized as seminars) on behalf of practitioners

Assessment methods

Exam enrolment

Registration to the exam is compulsory: students must register through the platform AlmaEsami in the time window during which registrations are open. Students not registered in AlmaEsami will not be admitted to the exam.

Structure of full exam:

  • Written exam (to be held in the Lab)
  • Each correct answer assigns 1 point

For online exams (if indicated by the University regulations): oral exam on MS Teams.

Evaluation grid

<18 Insufficient
18-23 Sufficient
24-27 Good
28-30 Great
30 cum laude Excellent

To pass the exam students must correctly answer at least 18 questions.

Grade rejection
Students can reject the grade obtained at the exam only once. To this end, he/she must email a request to the instructor within the date set for registration.

Teaching tools

We will use the following tools:

  • Case studies
  • Lecture slides
  • Mentimeter
  • Openboard
  • Virtuale platform for teaching materials and integrative activities

In case of online lectures:

  • Microsoft Teams

Office hours

See the website of Paola Giuri