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2024/2025  MA-MMBFO3002U  Innovation Management

English Title
Innovation Management

Course information
Language English
Course ECTS 3 ECTS
Type Mandatory
Level Part Time Master
Duration One Quarter
Start time of the course Spring
Timetable Course schedule will be posted at calendar.cbs.dk
Study board
Study Board for Full-Time MBA
Course coordinator
  • Marion Poetz - Department of Strategy and Innovation (SI)
Main academic disciplines
  • Innovation
  • Management
Teaching methods
  • Face-to-face teaching
Last updated on 04-06-2024

Relevant links
Learning objectives
At the end of the course the student should be able to
  • Understand basic innovation management theories and concepts and their relations
  • Demonstrate familiarity with key findings from the empirical innovation management literature
  • Develop skills in carrying out a small empirical project on innovation cases
  • Analyze the competitive position for a firm in a market
  • Show an ability to use insights from the course curriculum to analyze innovation cases
Examination
Innovation Management:
Exam ECTS 3
Examination form Home assignment - written product
Individual or group exam Group exam
Please note the rules in the Programme Regulations about identification of individual contributions.
Number of people in the group 2-4
Size of written product Max. 15 pages
Assignment type Written assignment
Release of assignment An assigned subject is released in class
Duration Written product to be submitted on specified date and time.
Grading scale 7-point grading scale
Examiner(s) One internal examiner
Exam period Spring
Make-up exam/re-exam
Same examination form as the ordinary exam
Description of the exam procedure

 

It is allowed to use GenAI on your exam, but you must declare your use in an open and transparent way so assessors at all times can distinguish between your own intellectual and autonomous contributions and those that originate in interactions with a GenAI platform. If you use GenAI for ideation or generation of content, you must mention this in the methodology or introduction section of your paper. Whenever you draw on GenAI output in the body text of your paper, you need to declare this by leaving in both the prompt and the relevant part of the response as well as a citation. On top of this, you need to leave the full response as an appendix for context.
Course content, structure and pedagogical approach

Innovation is a key driver of competitiveness and economic growth: organizations capable of successfully developing new products, services, processes or business models have considerable benefits over their non-innovating competitors. But innovation is also a complex, cross-disciplinary and risky endeavor, and requires particular skills in management, leadership and organization. This course introduces students to important innovation management basics such as understanding types, processes and sources of innovation. Building on this, students will learn about selected innovation methods and discuss appropriate organizational designs for generating innovation in companies. In this course, a particular focus is given to open and collaborative approaches to innovation (Open Innovation), accommodating increasing complexity and the need for multi-domain spanning activities involved in solving 21st century challenges.

 

The course is structured as follows:

 

Part 1: Innovation management basics I: types, models, processes and sources of innovation

 

Part 2: Innovation management basics II: network externalities, platforms and appropriability

 

Part 3: Selected (open) innovation methods and their fields of application

 

Part 4: Organizing for (open) innovation
Description of the teaching methods
Face-to-face teaching: the course will balance innovation management theories and their application and applies problem- and case-based teaching approaches in an interactive workshop format

Online pre-module work: based on selected online material students will prepare individual mini tasks (quizzes, case analyses) as an input to the face-to-face teaching
Feedback during the teaching period
There is continuous feedback to students based on case analyses and exercises in class. Written feedback will be given to groups on their exam assignment.
Student workload
Teaching 32 hours
Preparation 42 hours
Examination 32 hours
Last updated on 04-06-2024