EC/0061 - MANAGEMENT DELL'INNOVAZIONE
Academic Year 2021/2022
Free text for the University
MARIA CHIARA DI GUARDO (Tit.)
- Teaching style
- Lingua Insegnamento
|[11/82] DATA SCIENCE, BUSINESS ANALYTICS AND INNOVATION||[82/00 - Ord. 2018] PERCORSO COMUNE||9||54|
The course aims to introduce the innovation management approach in a highly competitive global context.
In line with the Dublin Descriptors, students are stimulated to develop (1) specific knowledge related to the management of the innovation in digital markets; (2) analytical skills and critical sense of organizational tools that are available to manage innovation; (3) making decisions based on a critical analysis of examples and real cases, by contextualizing what they have learned.
Specifically, the general objective is articulated in the following training objectives:
Knowledge and understanding skills: The aim is that students develop principles and methodologies to define and implement an effective innovation strategy in digital markets.
Usability and understanding: The aim is that students learn how to use challenges competition-based strategies to unfold effective innovation strategies in digital markets.
Judgment autonomy: The aim is that students learn to recognize whether the innovation strategy of a firm is appropriate to the competitive contest.
Communication Skills: The aim is that students learn to communicate with experts from different fields (technical and managerial) by using an appropriate language; in private and public, showing to be able to sustain their positions related to the innovation strategy in different contests.
Learning Skills: The aim is that students develop conceptual tools allowing them to recognize new economic developments at the international level.
Familiarity with the general topic related to the economy and business management.
1) Introduction to innovation management
2) Innovation diffusion: influentials, centrality, brokerage, cohesiveness, snowball effect
3) Network effects and winner-take-all markets
4) Digital transformation
5) Business Analytics drive Innovation: Innovation by Digital Models
6) Data Visualization
The course will be delivered simultaneously both in presence and online, thus outlining mixed teaching that will take place on the Campus but also using platforms. The active participation of students through questions, examples, and interventions is aimed at deepening the specific contents of the program.
Teaching activities include the analysis of relevant cases, interviews with entrepreneurs and managers, problem-solving exercises, that will allow students to develop specific competencies related to the content of the program, such as communication and learning skills, autonomous judgment, by enchanting the ability to adopt the acquired knowledge.
Verification of learning
The exam is written, with open questions (including case and examples to be analyzed). These questions aim at verifying the acquisition of a proper language; the ability to correctly adapt and use what students have learned during the course. The autonomy of judgment is verified through critical analysis of cases and real examples.
The evaluation criteria are as follows:
1. Accuracy and rigor
2. Completeness in describing and discussing the key elements related to the topic
3. The ability to discuss, connect key elements of the topic in an original and appropriate manner
Students know in depth the topic that is described in details and rigorously. They prove to have a comprehensive view of what is learned allowing them to make innovative and appropriate theoretical connections. They discuss the topic in coherence with the questions, and their answers are accurate and complete.
Good: 27/30– 29/30
Students show to know all contents appropriately. In their discussion, they make interesting connections and they are accurate in developing their answers.
Quite good: 24/30 - 26/30
Students show to know the contents and the have understood principles surrounding the topic, even if their discussion presents some weakness and inaccuracy (the ability to create connections among theoretical concepts).
Sufficient but poor discussion: 21/30 - 23/30
Students know the basic definitions. However, there are some gaps in the critical analysis to support the discussion of cases and the formulation of examples.
The basic knowledge is acquired: 18/30 - 20/30
Students know the basic definitions but the answers present relevant gaps and the discussion is absent, or inaccurate, poor and incomplete.
Not sufficient: 0 - 17/30
More learning efforts are required to better learn and understand the course’s contents.
Evaluations may be subject to changes following the emergency from COVID-19. In this case, the exam will be conducted orally on the TEAMS platform. The learning evaluation criteria are the same for the written exam. Specific and detailed indications will be shared by the teacher, also taking into account the indications that will be shared by the University.
- Schilling M.A. and Izzo, F. (2017). Gestione dell'innovazione. McGraw-Hill. (chapters 1, 2, 3, 4, 5, 9, 14)
- Additional materials will be provided during the course.