The course “data-driven innovation” focuses on the strong correlation that exists nowadays between data and the innovation path of organizations. The first part of the course focuses on firms’ innovative processes and on the issues arising from them. The course analyses challenges and criticalities relevant the development and maintenance of an organizational structure that facilitate innovation and to the management of the key individuals in the firms innovative processes. The course provides students with an overview on strategic, organizational and operative dimensions of innovative processes. The second part of the course provides an overview on peculiarities, challenges and issues in management of digital innovation. By providing both theoretical and practical approaches, the course focuses on innovation methods and approaches that enable organizations to create and accelerate innovation in the business world. The course shows how data become the main source of innovation and thus competitive advantage.

Knowledge & Understanding The course offers conceptual frameworks for understanding main concepts of innovation management within organizations. The course provides knowledge and analytical resources that will enable students to - describe the main models of innovation, use analytical tools to understand and interpret technological innovations; - list the market strategies for introducing an innovation in the market. - illustrate the fundamental characteristics of the innovation processes; - understand the most diffused approach to internal development of innovations. -understand he main challenges and opportunities of digital innovation -use the theoretical frameworks, methods and analytical resources to understand data as an important source of innovation Applying knowledge & understanding Upon completion of this course, students should be able: · to assess various models of innovation, and understand technological innovations ·to understand and use market strategies for introducing an innovation in the market ·to understand challenges of digital innovation management · to understand and apply innovation methods and approaches · to have an innovative mindset, which is necessary to tackle the new challenges · to understand and use data as source of innovation Making Judgment During the course, students will be asked to analyze organizations, challenges, issues related to innovation process and provide suggestions. The course is based on inquiry-based learning where students asked to apply knowledge gained from the course, analyze and solve real problems. During the course, students will be continuously asked to explain and analyze real cases and at the same time made, develop and discuss solutions to problems. Communication skills The resulting multidisciplinary communication skills are the main result of teaching. The student will indeed be able - to combine the technical and managerial terminology related to innovation management - to contribute to the resolution of problems related to innovation management Learning skills The course facilitates the development of learning skills through analyzing of case study and inquiry-based learning. Various online collaborative tools will be used.

The course is organized in the following modules: Module 1: Overview of Innovation Management -Management of technological innovation and Open innovation -Technological life cycles and standard design battles - Learning from the Market Module 2: Digital Innovation, Platforms and Innovation Methods - Platforms and ecosystems - Innovation in the digital age - Design thinking Module 3: Business models, Agility and Data ecosystems - Business models - Agility to sense and respond to business changes - Digital and Data ecosystems

All information concerning the course, the lecture notes, the support materials and the exercises and all communications will take place through the e-learning platform. A list of the required and suggested readings is included in the detailed program.

The course mixes theory with practice, and students will be challenged to apply principles, concepts and frameworks to real world situations. Each week is comprised of two classes. Usually in the first sessions of weeks, an overview of the topic is provided using traditional – though interactive – lectures. The second sessions of weeks will be focused on the discussion of relevant studies or cases that highlight the topic or on seminar and guest lecture. The discussion is going to be guided by the inputs provided by students through their active involvement, by which we mean that for each session (but the first one), students are expected to: Before each session, study the material – usually one paper and / or case studies – suggested in the reading list; During the session, actively discuss other students’ presentations and papers. Students are also asked to develop a final project work, in collaboration with a company. This will reinforce the possibility of applying the theory in live business cases

Attending students: The grade is based on a written exam (20%), mid-term individual assessment (20%), a group discussion and presentation (30%) and final project work (30%). Group presentations will be also assessed through a peer-evaluation system. Active involvement in each class – e.g. attendance, participation to discussion, and short presentations – will add up to 10% of the final grade. In this case, students can ONLY retake mid-term individual assessment and written exam. Non-attending students: They will be assessed as follow: Business case individual assessment, written exam and individual project.

No specific criteria required.

Yes