Titular Professors
Professors
No previous knowledge is required.
By the end of the course, students should be able to:
- Define the different aspects of innovation management, such as the difference between invention and innovation.
- Identify the different phases of the technology adoption life cycle and the adopter patterns.
- Understand how diffusion of innovation process works.
- Collect and read data on the diffusion of innovations from different sources.
- Implement a simulation strategy for diffusion models using Excel.
- Determine the characteristics of an innovation.
- Identify the different adopter patterns and their characteristics.
- Identify the different adopter´s decision stages.
- Understand the different network effects that an innovation can be exposed to.
This course has been organized in twelve chapters or sections. Each section focuses on
a specific aspect of innovation management.
S01. Introduction to Innovation
S02. Models of innovation
S03. Technological Paradigms & IT adoption lifecycle
S04. People & Teams
S05. The process to innovate
S06. Being different
S07. Getting organized to innovate
S08. Diffusion Models
S09. Roger´s adoption framework & Crossing the chasm
S10. Advanced Issues on Adoption
S11. Network effects
S12. Business ecosystems & Technological platforms
The methodological approach and the pedagogical tools will be entirely supported by the elearning platform (eStudy) and will be intended to provide a comprehensive learning experience. For each topic, a combination of the following tools will be used:
- Lectures. Students will be presented with contents about the major topics covered in the course. Active participation is expected from students.
- Discussion exercises. Questionnaires and exercises will be held in order to reinforce the concepts of the session. Therefore, students are expected to discuss about the main issues of each topic.
- Lab sessions. Some lab sessions will be scheduled to provide substantive support on the learning process of the simulation techniques and models and to assure the progress of the students´ Final Project.
- Final Project. A final project will be held by students in order to demonstrate their ability to compute and understand diffusion models.
- Readings. A list of recommended books and papers is provided in the present document for further understanding of the main topics.
- Participation. This is an overall grading of student involvement in course activities. This includes attendance, participation in class discussions, participation in forums, and so on.
- Readings. In groups of lessons, one or two "Further Readings" are proposed. Students will have to read ONE reading for each group, maximum of three groups, and provide a summary of the reading (a PowerPoint presentation).
- Topic summaries. At the end of some sections, instead of proposing a group of "Further Readings" students should deliver a summary of the main topics or contents of the lesson (a maximum of one page in a word/PDF document).
- Questionnaires and case studies. Students must answer all questionnaires or case studies. Based on the student's answers, feedback will be provided. Students must act accordingly.
- Final Project. The course proposes one assignment that must be delivered at the end of the term.
- Participation (15%)
- Readings & topic summaries (30%)
- Questionnaires (40%)
- Final Project (15%)